how long does a phd in computer science take

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PhD | Program Requirements

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On average, the program is completed in five to six years, depending on the student’s research and progress. First-year students have the opportunity to rotate in three different labs before selecting their advisor. 

The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. This includes a cumulative list of requirements to be completed in order for students to confer their PhD degree in Computer Science.

For any questions related to CS PhD milestone requirements, please email  [email protected] .

• CS300 Seminar       
• First-Year Research Rotation Program       
• Courses       
• Foundation & Breadth Requirements       
• Candidacy Requirement       
• Qualifying Examination       
• Teaching Requirements       
• Reading Committee       

Thesis Proposal       

Note : A student may go to TGR status after all the Ph.D. requirements above have been completed, and just their orals and dissertation submission remain, see Special Registration Statuses page.

• University Oral Examination       
• Dissertation

Online PhD in Computer Science Guide | Salary & Requirements 2024

Phd in computer science overview.

The field of computer science has seen exponential growth in the last decade as web-based apps and media platforms continue to grow. An online Doctor of Philosophy (PhD) degree in Computer Science prepares graduates for some of the highest-paying positions in the nation with technology firms of varying sizes.  

As industries continue to adopt digital technologies, the demand for graduates with postsecondary degrees in the field of computer science remains steady. Businesses like Google and Microsoft continue to hire web developers, coders, and other computer science specialists to manage their web-based platforms/services. 

What Is Computer Science?

As a computer science professional, your job is to: 

• Observe, listen to, and communicate with clients
• Python, HTML, Java, C++ and more
• Offer strategies to ensure the functionality of web-based platforms
• Collaborate with UX specialists to ensure website functionality 

Depending on the industry or client, computer science specialists may work in-house or be contracted externally. 

What Can I Do With An Online PhD in Computer Science?

There are many viable career options for professionals with an online PhD in Computer Science. At tech corporations, start-ups, and in higher education, computer science professionals:

• Develop software
• Maintain data systems 
• Teach students coding theory
• Complete programmatic updates
• Maintain server security

Professionals with an online PhD in Computer Science provide in-demand services that continue to increase in value as countless entities adopt web-based platforms for business and internal use. 

Others who graduate with a PhD in Computer Science end up working in academia as a PhD satisfies minimum requirements for many colleges and universities. 

PhD in Computer Science Salaries and Career Outlook

Graduates with a PhD in Computer Science may pursue careers as:

• College Professors
• Computer Science Specialists
• Database Managers
• Research & Development 

Job growth in the computer science career field can vary depending on the position, and graduates should note that these statistics are reflections of the current job market that can fluctuate over time. 

Computer Science PhD Career Paths 

• Median Salary: $85,540 
• Career Outlook: +7% (2020-2030)

Professors that teach computer science at the university level conduct courses in coding, software design, and database management.

• Median Salary: $126,830 
• Career Outlook: +22% (2020-2030)

Professionals in this field to develop new software and improve on existing platforms to improve user experience and efficiency.

• Median Salary: $116,780 
• Career Outlook: +5% (2020-2030)

Network architects help organizations manage their local-area networks and wide-area networks.

• Median Salary: $110,140 

Software developers create computer programs/applications and work closely with UX specialists to provide iterative updates that address bugs/create efficiencies. 

Source: BLS

Earning A PhD in Computer Science

An online PhD in Computer Science typically takes between 4-5 years to complete. It’s always smart to research in-person and online formats to find the program that fits your schedule. 

Aspiring PhD students should consider admissions requirements, areas of specialization, and cost to ensure the program they choose fits their goals and lifestyle.

Pros And Cons Of PhD in Computer Science

Time, cost, and job placement are important factors to review when looking for a PhD program. Compared to a master’s degree in computer science, a PhD in Computer Science allows graduate students to gain access to higher-paying, upper-level positions in the tech and academic fields.

Due to the flexibility offered with an online program, doctoral students have the opportunity to complete their degree with sometimes little to no impact on their current day job.

Coursework In PhD in Computer Science Programs

Most classes included in computer science programs align with industry standards. Classes like Computer Languages, and Database Design, and Machine Learning provide students with a wide range of knowledge and skills to help them operate in a variety of roles post-graduation. 

Courses often include topics like data management, robotics, artificial intelligence, and software development. As a prerequisite to many of these classes, general knowledge of computer science and hardware can help students prepare for PhD-level coursework. 

Computer science graduate programs typically culminate in a research project. 

Skills Learned In PhD in Computer Science

With a PhD in Computer Science, graduates enter the workforce with a wide range of industry-specific skills. These programs build skills such as:

• Writing and improving code
• Website generation
• Advanced software engineering
• Communication
• Troubleshooting
• Operational functionality 
• Systems maintenance

How Long Does It Take To Get A PhD in Computer Science?

Some PhD programs take four years to complete, while others take up to five years. Most programs usually require 90 credit hours, including electives and the Teaching Assistantship requirement.

Factors that impact the length of a degree program include:

• Prior education (Master’s in Computer Science preferred)
• Accelerated course availability
• Synchronous vs asynchronous learning
• Part-time vs. full-time course loads

Choosing The Best PhD in Computer Science

There are many ways to earn a PhD in Computer Science. For example, you can choose to study online, in-person, or through a hybrid of both options. You may want to earn additional certifications and licenses, depending on your specialization or field of interest. This section explores the different options available for future computer science students. 

Online vs In-Person Graduate Degrees

Potential computer science PhD applicants have options depending on their current schedule and employment status. Applicants should be aware that there are many online programs to choose from. 

• Online learning offers flexibility, though on-campus learning can provide additional networking opportunities that may improve the job search post-graduation. 
• On-campus, students learn interpersonal skills that benefit them in professional settings. 
• If students choose to study online, this can be a great way to balance a job while completing the doctoral program. 

There is no right option between the two, though most doctoral students likely prefer one option over the other.

10 Best Schools With Degrees in Computer Science

• Massachusetts Institute of Technology
• Brown University
• Cornell University
• Stanford University
• Carnegie Mellon University
• Dartmouth College
• Columbia University in the City of New York
• University of Pennsylvania
• University of California – Berkeley
• Duke University

If you’re looking for other schools that offer online degrees in computer science, check out the Find Your Perfect “U” tool. You can search over 6,000 colleges and universities with 11 different filters to find the  perfect school for you !

How Long Does It Take To Complete An Online Course? 

Depending on the type of online course, student experiences can vary. If courses are taught synchronously, then students must attend online lectures and labs at set times. Hybrid courses offer a combination of online lectures and in-person lab time, ideal for students looking to acquire skills needed to work post-graduation. 

If a course is taught asynchronously, students can watch lectures and study with flexibility. Alternatively, certificate programs offer accelerated online courses that condense the subject matter into 3-6 week increments. 

Licensure and Certification

Many computer science positions prefer and potentially require applicants to have a license and/or certification (especially for PhD grads). Prospective students should be sure to research their intended job prospects to ensure they acquire the appropriate credentials depending on the region and type of position they may hold. 

Admissions Requirements 

The first step to applying to any program is to check the admissions requirements to confirm the prerequisite experience needed to qualify. Most information technology programs require:

• Proof of completion of a 4-year  bachelor’s degree  from a regionally accredited institution
• Minimum GPA requirements – These vary depending on the program
• Official Transcript
• GRE test score 
• Application fee
• Letter of Intent
• Letters of recommendation 

It is always a good idea to submit applications to schools with varying rates of acceptance. You should also diversify your application list and include schools with high and low rates of admission.  

Paying For A PhD in Computer Science

The cost of an  online PhD in Computer Science  varies depending on a range of factors. In-state tuition tends to be much cheaper than out-of-state, so be sure to apply to programs locally if cost is a determining factor. 

Online programs can be more cost-effective and accessible than in-person programs, providing applicants with options depending on their prior obligations. Some online programs also extend in-state tuition rates to all students regardless of where they live.

Lastly, colleges, universities, and organizations offer scholarships that are merit or need-based that can help minimize the financial impact of going to school.

Scholarships

There are  many scholarship  options for students in the field of computer science. Here are a few: 

• Generation Google Scholarship
• Richard E Merwin Student Scholarship
• IEEE Presidents Scholarship

Computer Science Career Resources

Online computer science phd faqs.

• Due to the web-based nature of the IT sector, pursuing an online PhD in Computer Science is a lucrative alternative to in-person education. Market projections for job growth and compensation are very positive. 
• Professionals with a PhD in Computer Science can expect to make upwards of $80,000 post-graduation, with some roles grossing up to $200,000 annually. 
• A PhD is a lengthy,  intense, and challenging ordeal. Potential applicants should think about the time and financial commitment before applying to a program. 
• After receiving a PhD in Computer Science, graduates can enter the workforce immediately at top tech firms, internally at fortune corporations, and in the academic field in a teaching capacity.  

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CS PhD Course Guidelines

The following program guidelines (a.k.a model pogram) serve as a starting point for a discussion with the faculty about areas of interest.   This description of the Computer Science PhD course guidelines augments the school-wide  PhD course requirements .   Students should make themselves familiar with both.

Course Guidelines for Ph.D. Students in Computer Science

We expect students to obtain broad knowledge of computer science by taking graduate level courses in a variety of sub-areas in computer science, such as systems, networking, databases, algorithms, complexity, hardware, human-computer interaction, graphics, or programming languages.

Within our school, CS courses are roughly organized according to sub-area by their middle digit, so we expect students to take courses in a minimum of three distinct sub-areas, one of which should be theory (denoted by the middle digit of 2, or CS 231). Theory is specifically required as we expect all students to obtain some background in the mathematical foundations that underlie computer science. The intention is not only to give breadth to students, but to ensure cross-fertilization across different sub-disciplines in Computer Science.

Just as we expect all students obtaining a Ph.D. to have experience with the theoretical foundations of computer science, we expect all students to have some knowledge of how to build large software or hardware systems , on the order of thousands of lines of code, or the equivalent complexity in hardware. That experience may be evidenced by coursework or by a project submitted to the CHD for examination. In almost all cases a course numbered CS 26x or CS 24x will satisfy the requirement (exceptions will be noted in the course description on my.harvard). Students may also petition to use CS 161 for this requirement.   For projects in other courses, research projects, or projects done in internships the student is expected to write a note explaining the project, include a link to any relevant artifacts or outcomes, describe the student's individual contribution, and where appropriate obtain a note from their advisor, their class instructor, or their supervisors confirming their contributions.  The project must include learning about systems concepts, and not just writing many lines of code.   Students hoping to invoke the non-CS24x/26x/161 option must consult with  Prof. Mickens ,  Prof, Kung,  or  Prof. Idreos  well in advance of submitting their Program Plan to the CHD.  

Computer science is an applied science, with connections to many fields. Learning about and connecting computer science to other fields is a key part of an advanced education in computer science. These connections may introduce relevant background, or they may provide an outlet for developing new applications.

For example, mathematics courses may be appropriate for someone working in theory, linguistics courses may be appropriate for someone working in computational linguistics, economics courses may be appropriate for those working in algorithmic economics, electrical engineering courses may be appropriate for those working in circuit design, and design courses may be appropriate for someone working in user interfaces.

Requirements

The Graduate School of Arts & Sciences (GSAS) requires all Ph.D. students to complete 16 half-courses (“courses”, i.e., for 4 units of credit) to complete their degree. Of those 16 courses, a Ph.D. in Computer Science requires 10 letter-graded courses. (The remaining 6 courses are often 300-level research courses or other undergraduate or graduate coursework beyond the 10 required courses.)

The requirements for the 10 letter-graded courses are as follows:

• Of the 7 technical courses, at least 3 must be 200-level Computer Science courses, with 3 different middle digits (from the set 2,3,4,5,6,7,8), and with one of these three courses either having a middle digit of 2 or being CS 231 (i.e., a “theory” course).   Note that CS courses with a middle digit of 0 are valid technical courses, but do not contribute to the breadth requirement.
• At least 5 of the 8 disciplinary courses must be SEAS or SEAS-equivalent 200-level courses. A “SEAS equivalent” course is a course taught by a SEAS faculty member in another FAS department. 
• For any MIT course taken, the student must provide justification why the MIT course is necessary (i.e. SEAS does not offer the topic, the SEAS course has not been offered in recent years, etc.). MIT courses do not count as part of the 5 200-level SEAS/SEAS-equivalent courses. 
• 2 of the 10 courses must constitute an external minor (referred to as "breadth" courses in the SEAS “ Policies of the Committee on Higher Degrees [CHD] ”) in an area outside of computer science. These courses should be clearly related; generally, this will mean the two courses are in the same discipline, although this is not mandatory. These courses must be distinct from the 8 disciplinary courses referenced above.
• Students must demonstrate practical competence by building a large software or hardware system during the course of their graduate studies. This requirement will generally be met through a class project, but it can also be met through work done in the course of a summer internship, or in the course of research.
• In particular, for Computer Science graduate degrees, Applied Computation courses may be counted as 100-level courses, not 200-level courses.
• Up to 2 of the 10 courses can be 299r courses, but only 1 of the up to 2 allowed 299r courses can count toward the 8 disciplinary courses. 299r courses do not count toward the 5 200-level SEAS/SEAS-equivalent courses. If two 299r’s are taken, they can be with the same faculty but the topics must be sufficiently different.
• A maximum of 3 graduate-level transfer classes are allowed to count towards the 10 course requirement.
• All CS Ph.D. program plans must adhere to the SEAS-wide Ph.D. requirements, which are stated in the SEAS Policies of the Committee on Higher Degrees (CHD) . These SEAS-wide requirements are included in the items listed above, though students are encouraged to read the CHD document if there are questions, as the CHD document provides further explanation/detail on several of the items above.
• All program plans must be approved by the CHD. Exceptions to any of these requirements require a detailed written explanation of the reasoning for the exception from the student and the student’s research advisor. Exceptions can only be approved by the CHD, and generally exceptions will only be given for unusual circumstances specific to the student’s research program.

Requirement Notes

• Courses below the 100-level are not suitable for graduate credit.
• For students who were required to take it, CS 2091/2092 (formerly CS 290a/b or 290hfa/hfb may be included as one of the 10 courses but it does not count toward the 200-level CS or SEAS/SEAS-equivalent course requirements nor toward the SM en route to the PhD.

Your program plan  must always comply  with both our school's General Requirements, in addition to complying with the specific requirements for Computer Science. All program plans must be approved by the Committee on Higher Degrees [CHD]. Exceptions to the requirements can only be approved by the CHD, and generally will only be given for unusual circumstances specific to the student’s research program

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Best Doctorates in Computer Science: Top PhD Programs, Career Paths, and Salaries

Getting a PhD in the field of computer science is the best way to influence the future of technological innovation and research. If you are interested in getting a computer science doctoral degree, then our list of the best PhDs in Computer Science will help you find the program that caters most to your goals.

A PhD in Computer Science can branch out into a wide variety of science and tech fields. Be it information assurance, computational science theory, or cyber operations, you can specialize your computer science PhD to suit your interests. In our guide, we’ve also gone into detail about the average PhD in Computer Science salary and the best computer science jobs PhD students can get.

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What is a phd in computer science.

A PhD in Computer Science is a doctoral degree where graduate students perform research and submit original dissertations covering advanced computing systems topics. Computer science is a broad field that covers artificial intelligence, operating systems, software engineering, and data science.

Your doctoral dissertation will include a research proposal, coursework in advanced topics related to computer science, and a thesis presentation. The wide span of this field allows you to choose a PhD program that can cover topics in any high-performance computing systems area.

How to Get Into a Computer Science PhD Program: Admission Requirements

The admissions requirements to get into a computer science PhD program include submitting your official transcripts from your undergraduate or graduate programs and resume. Your previous university coursework should showcase a strong background in software development, popular programming languages , and scientific computing.

Universities also usually require the submission of your GRE score. A combined score of 1,100 is typically where you want to be when applying to PhD programs. You’ll also usually be required to submit three or more letters of recommendation and a personal essay stating your thesis or research proposal. Keep in mind that each university’s admissions requirements will vary.

PhD in Computer Science Admission Requirements

• 3.0 or higher cumulative GPA
• Three letters of recommendation
• Official transcript from your undergraduate degree or your graduate degree
• Prerequisite courses covering computer science academic programs
• Personal statement highlighting proposal of thesis or research topic

Computer Science PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Computer Science?

It is very hard to get into a PhD program in computer science. This is because prospective students need to meet a very competitive GPA, have an excellent academic background, and fulfill other advanced program requirements. Your chances of getting accepted into a computer science doctorate degree program will typically range between 10 to 20 percent.

In fact, less than 10 percent of computer science graduate applicants are accepted at the University of California. Similarly, Duke University reports that only around 15.7 percent of applicants were selected for its 2021 to 2022 computer science PhD program. Your acceptance relies on submitting a compelling thesis proposal statement that displays your passion and high academic competency.

How to Get Into the Best Universities

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Best PhDs in Computer Science: In Brief

Best universities for computer science phds: where to get a phd in computer science.

The best universities for computer science PhDs are Arizona State University, Boston University, Harvard University, Duke University, and Carnegie Mellon University. Each of these universities will help you advance your research and eventually get you a job in artificial intelligence , software development, or computing systems. We’ve also broken down the application process and other details for each program.

According to the US News & World Report, Arizona State University ranks number one on the list of the most innovative schools and number 36 in the best undergraduate engineering programs. It was founded in 1885 and currently offers over 450 graduate programs and employs more than 340 PhD fellows. 

PhD in Computer Science 

Arizona State University offers research opportunities in the fields of artificial intelligence, cyber security, big data, or statistical modeling under the umbrella of this computer science program. In this 84-credit program, you’ll tackle your dissertation, prospectus, and oral and written exams. You’ll also take courses on computational processes, information assurance, and network architecture. 

Your PhD dissertation includes 12 credit hours of experience culmination that can be planned alongside your research and elective credits. This degree is best suited for computer scientists wanting to build a career in machine learning or an academic career. 

PhD in Computer Science Overview

• Program Length: 4 to 6 years
• Acceptance Rate: N/A
• Tuition and Fees: $6,007/semester, nine credits or more (in state); $1,663/hour, under 12 credits or $16,328 per semester, 12 credits or more (out of state) 
• PhD Funding Opportunities: Teaching assistantships, research assistantships
• Three letters of recommendations from former professors or employers 
• One to two-page statement of purpose that covers previous research experiences and reasoning behind your interest in one to two doctoral programs
• Optional submission of GRE scores. Preferred scores are 146 verbal, 159 quantitative, and 4.0 analytical writing
• Official transcripts
• Bachelor’s Degree in Computer Science or computer engineering. Applicants with a master’s degree in a relevant field are preferred 
• Minimum 3.5 cumulative GPA

Founded in 1839, Boston University is a top private research university with a reputable engineering and technology program. It offers over 350 graduate programs and PhDs in topics such as neurobiology, biostatistics, computer engineering, mathematical finance, and systems engineering. 

PhD in Computer Science

If you are interested in advancing in research and academia, then this PhD program is worth looking into. Its curriculum trains you to build a successful professional background in the intelligent control systems, cloud infrastructures, and cryptography fields. Candidates need to clear its qualification, dissertation, and milestone requirements to complete this degree. 

• Program Length: 5 to 6 years
• Acceptance Rate: 10%
• Tuition and Fees: $61,924/year
• PhD Funding Opportunities: Computer Science Fellowship, Teaching Excellence Award, Research Excellence Award, Teaching Fellow Expectations 
• GRE scores normally mandatory, but are optional for fall 2022
• A personal statement stating your interest in the program 
• Resume 

Carnegie Mellon University is a globally recognized university with more than 14,500 students and over 109,900 alumni. The school was founded in the year 1900 and offers over 80 majors and minors. According to the US News & World Report, Carnegie Mellon University ranks number one on the best undergraduate computer science program in the country. 

This on-campus PhD program focuses on computing research, software informatics, and communication technologies. Completing this doctoral degree program will open you up to a wide range of career prospects across the data science, computing technology, and information technology research fields. 

This degree includes 24 units of advanced computing research, 72 units of graduate courses, and the dissertation process of an original research thesis. This PhD is apt for those looking to establish their career in research and academia. During this program, you’ll also serve as a teaching assistant in the computer science department twice as per the degree requirement. 

• Acceptance Rate: 5% to 10%
• Tuition and Fees: $75,272/year 
• PhD Funding Opportunities: Internal funding, external funding, dependency allowance, fellowships
• GRE scores optional but encouraged
• Most recent transcript of the university attended
• One to two-page statement of purpose stating your interest in the program, research interests, PhD objective, and relevant experience
• Three letters of recommendation from previous faculty or employers   

Duke University was established in 1924 and counts among the top universities in the world. It has an undergraduate population of 6,789 and a graduate population of 9,991 students and is most recognized for its computer science, biology, public policy, and economics departments. It offers over 80 doctoral and master’s degrees covering STEM, social sciences, and humanities. 

This computer science PhD is definitely worth it for doctorate students looking to embark on an advanced computer science research path. In it, students tackle a research initiation project, preliminary exam, dissertation process, and core qualification credits. Doctoral candidates are also required to partake in the department’s teaching assistantship program. 

Its curriculum includes core courses in computation theory, artificial intelligence, algorithms, numerical analysis, and computer architecture. Graduates of the program open themselves up to numerous career opportunities across a wide range of computing systems academic and research fields. 

• Program Length: 3 to 4 years
• Acceptance Rate: 15.7%
• Tuition and Fees: $70,185/year for the first three years and $18,165/year each subsequent year
• PhD Funding Opportunities: Teaching assistantships, research assistantships, fellowships
• Official transcripts from all attended universities 
• Statement of purpose
• GRE scores are optional for 2022 but recommended 
• No minimum GPA requirements but high GPA scores are preferred

Harvard University is a top Ivy League institution that has amassed global recognition and top rankings in many of its departments. Founded in 1636, the university is home to many excellent programs across the fields of law, medicine, economics, and computer science. It has more than 400,000 alumni and a total enrollment of 35,276 students. 

According to the US News & World Report, Harvard University ranked number one among the best global universities in 2022 . Its graduate schools offer doctorate programs in the applied sciences, biology, literature, environmental sciences, business, and healthcare fields. 

Attending a computer science PhD program at Harvard University brings high credibility and accolades to your professional candidacy. This program is offered by the university’s Graduate School of Arts and Sciences and provides focus opportunities across the engineering science, applied physics, computer science, and applied mathematics areas.  

Similar to most mainstream PhDs, this program requires the completion of 10 semester-long graduate courses, a dissertation topic, oral and written qualifying exams, a teaching assistantship, and a defense process. After graduating, you’ll easily qualify for some of the most prestigious research and career opportunities available.

• Program Length: 3 or more years
• Acceptance Rate: 6%
• Tuition and Fees: $50,928 for the first two years and $13,240 reduced tuition for the third and fourth year
• PhD Funding Opportunities: Teaching fellowships, research assistantships, GSAS fellowships, external funding 
• Supplemental form for PhD
• Transcripts from all post-secondary education 
• Statement of purpose stating your interest in the program  

Oregon State University is a public research university founded in 1868 with over 210,000 alumni. The school is home to more than 28,607 undergraduate and 5,833 graduate students and offers over 300 academic programs as well as a robust research department. Its doctoral programs can be found in the business, agricultural science, education, engineering, or medicine departments. 

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This PhD is offered by the university’s electrical engineering and computer science department and is perfect for doctoral candidates wanting to work in IT research in the governmental or educational sectors. The program offers research opportunities in topics such as data science, cyber security, artificial intelligence, computer graphics, and human-computer interaction. 

The program’s curriculum includes graduate-level courses in theoretical computer science and requires the completion of your research thesis. You’ll also be required to maintain an overall cumulative GPA of 3.0 and pass all preliminary and oral exams to receive your PhD. 

• Program Length: 4 years
• Tuition and Fees: $557/credit (in state); $1,105/credit (out of state)
• PhD Funding Opportunities: Graduate teaching assistantship, research assistantship, Outstanding Scholars Program
• Three letters of recommendation from previous professors or employers familiar with your technical skills 
• Transcripts and academic history of all attended universities 
• Minimum 3.0 GPA in the last two years of your undergraduate or graduate work 
• Statement of objective listing your interest in the program, career goals, research interests, and relevant experience

Syracuse University is a private institution that was established in 1870 and is most popular for its research and professional training academic programs. It has more than 40 research centers focusing on the STEM, social sciences, and humanities fields. The university has over 400 majors, minors, and advanced degrees its students can choose from. 

It had a total enrollment of 14,479 undergraduate students and 6,193 graduate students in the fall of 2020. Prospective students can pick a PhD focus from many of its applied topics, including data science, statistics, human development, and bioengineering. 

PhD in Computer and Information Science and Engineering

A PhD focused in computer and information science and engineering from Syracuse University can help you advance your career in the information technology, software engineering, or information assurance fields. This program is best suited for computing technology research buffs looking to land senior-level positions in the field. 

The program’s curriculum is an amalgamation of graduate coursework, your dissertation and research presentation, and exams. Your coursework will cover technical topics ranging from algorithms and artificial intelligence to operating systems and hardware systems. 

PhD in Computer and Information Science and Engineering Overview

• Program Length: 4 to 5 years
• Acceptance Rate: 14.28%
• Tuition and Fees: $32,110/year 
• PhD Funding Opportunities: Research assistantships, departmental teaching assistantships, university fellowships

PhD in Computer and Information Science and Engineering Admission Requirements

• Minimum GRE scores: Verbal 153, Quantitative 155, and analytical writing 4.5 
• Bachelor of Science or Master of Science in computer engineering, electrical engineering, or computer and information science
• Two or more letters of recommendation from previous faculty or employers 
• Official transcripts of all attended universities 
• 500-word personal statement concerning your interest in the program

The University of Oklahoma is a public school best known for its business, journalism, and petroleum engineering programs. Founded in 1890, it currently has an undergraduate student population of 21,844 and offers over 170 academic programs and graduate degrees in a wide range of subject areas. 

The school’s doctoral topics are numerous and can be found within its business, architecture, fine arts, education, engineering, journalism, or geographics science departments. The University of Oklahoma is also incredibly well known for its athletic programs, having won many national championships.

The university’s computer science PhD has courses in machine learning, data science, computer security, visual analytics, database management, and neural networking subjects. If you’re interested in a data science, network security, artificial intelligence, or cyber security career, then this PhD is for you.

The program allows you to propose a research topic covering anything in the field of advanced computing systems and theories. During your program, you’ll undergo an annual research progress review along with general examinations until your defense. The program also requires you to submit a minimum of two publications before you complete your degree. 

• Program Length: 6 years
• Tuition and Fees: $591.90/credit (in state); $1,219.50/credit (out of state)
• PhD Funding Opportunities: Graduate assistantships, research assistantships, fellowships, scholarships, research grants
• Prerequisite coursework covering computer science, data structures, and math subjects 
• Bachelor’s degree or master’s degree
• Minimum cumulative 3.0 GPA 
• 250-word statement of purpose concerning your interest and goals in the program 
• Three letters of recommendation, with two of them preferably from previous professors

The University of Arizona was founded in 1885 and is a public research institution with over 300 major programs. The school is home to 36,503 undergraduate and 10,429 graduate students and offers PhD programs in over 150 areas of study, including information science, statistics, mechanical engineering, biomedical science, medicine, communication, and economics. 

If you want to become an applications architect or pursue a career in academia focusing on computing or business intelligence technologies, then this PhD is for you. It offers courses in computer networking, system architecture, database systems, machine learning theory, natural processing language, and computer vision. 

The program’s curriculum requires the completion of 12 units of advanced computer science research and 18 units of dissertation presentation and defense. You’ll also need to maintain a minimum cumulative GPA of 3.33 to receive your PhD. 

• Program Length: 5.5 years
• Acceptance Rate: 17.73%
• Tuition and Fees: $989.12/unit (in state); $1,918.12/unit (out of state)
• PhD Funding Opportunities: Graduate assistantships, graduate associate fund, teaching assistantships, research assistantships, graduate college fellowship
• Official transcripts from all attended universities
• Minimum of two letters of recommendation by previous faculty or employers 
• A statement of purpose stating your interest in the school and the program faculty, your career goals, preferred research areas, and research background
• Resume detailing previous research work, published papers, conference presentations, and computer science background 
• Bachelor’s degree in computer science or a related field 
• A background in operating systems, programming languages, discrete mathematics, data structures, and theory of computation 
• Minimum 3.5 undergraduate GPA and 3.7 graduate GPA 

The University of Maryland is a research-focused institution that was founded in 1856. It hosts more than 41,200 students and offers over 217 undergraduate and master’s programs. It also offers 84 doctoral programs and has an extensive research department. According to the US News & World Report, the school ranks number 20 among the top public schools in the country .

This PhD program offers research opportunities in subjects such as robotics, big data, scientific computing, machine learning, geographic information systems, and quantum computing. Doctoral students can participate in a collaborative research journey at any of the school’s research specialized institutions. The program curriculum includes graduate coursework, a research proposal, and a dissertation defense. 

• Tuition and Fees: $11,586/year (in state); $24,718/year (out of state) 2022-2023
• PhD Funding Opportunities:  Research assistantships, departmental teaching assistantships, National Science Foundation Graduate Fellowships, Fulbright Fellowships
• Transcripts from all attended universities
• Writing sample and optional publications or presentations 
• Statement of purpose concerning your interests in the field and program 
• Three letters of recommendation 

Can You Get a PhD in Computer Science Online?

Yes, you can get a PhD in Computer Science online. An online doctoral degree will be more course-based instead of research-based due to the lack of laboratory facilities. Computer science is a broad field that offers doctoral opportunities across a wide range of tech topics. You can get an online PhD in information science, data science, data analytics, or information systems.

Know that online PhDs are rare across most fields, including computer science. Obtaining a non-research-focused doctoral degree won’t be as respected as a traditional computer science PhD. The online PhD programs listed below are best suited for candidates looking to advance into managerial, theoretical research, and academic positions in the technology sector.

Best Online PhD Programs in Computer Science

How long does it take to get a phd in computer science.

It takes an average of four years to get a PhD in Computer Science. However, the actual duration is entirely dependent on the candidate’s research proposal approval and defense success, and depending on your research pace, it can take up to five or six years to complete. The graduate course portion of your degree is the most straightforward and typically takes around 2.5 years to complete.

Your dissertation topic selection, research journey, publication submissions, and defense presentations will take the most amount of time, usually between three to five years. Some universities also require their PhD students to complete a minimum of two years of graduate teaching assistantship. An online PhD in Computer Science usually only takes three years to finish, as it mostly includes advanced coursework.

Is a PhD in Computer Science Hard?

Yes, a PhD in Computer Science is hard. Computer science is a complex field that incorporates an array of advanced technical topics. Your PhD will require you to submit an original research proposal on an advanced information technology subject such as data science, machine learning, quantum computing, artificial intelligence, and network security topics.

Along with advanced research and a dissertation, you’ll also need to complete advanced graduate courses with a minimum GPA of 3.0. Other requirements often include submitting one or more publications, working in graduate teaching positions, and successfully defending your thesis topic. The combination of all of these academic requirements makes getting a PhD in Computer Science a hard process.

How Much Does It Cost to Get a PhD in Computer Science?

It costs $19,314 per year to get a PhD in Computer Science, according to the National Center for Education Statistics (NCES). However, your total PhD tuition can vary depending on a number of factors, including the university’s ranking, the program’s timeline, and the PhD funding opportunities you’ll have available.

The NCES further categorizes the graduate program tuition according to the institution type and reports that the average fee for public institutions was $12,171 from 2018 to 2019. It also states that private for-profit institutions charged an average of $27,776, and non-profit schools charged $14,208 those same years.

How to Pay for a PhD in Computer Science: PhD Funding Options

The PhD funding options that students can use to pay for a PhD in Computer Science include graduate research assistantships, teaching assistantships, and fellowship opportunities. Your funding options will vary from school to school and can include both external and internal funding.

Some of the popular ways to fund your PhDs include research grants, federal work-study programs, teaching or graduate assistantships, tuition waivers, and graduate research fellowships. You can also apply for scholarships or tuition reimbursement options at your current job. Your graduate advisor and computer science faculty can help you find more funding options.

Best Online Master’s Degrees

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What Is the Difference Between a Computer Science Master’s Degree and PhD?

The difference between a computer science master’s degree and a PhD is the level of each degree. A Master’s Degree in Computer Science is a typical precursor to a PhD and covers the technical field less extensively than a doctoral program. It will last around two to three years and can be fully course-based or thesis-based.

A PhD in Computer Science provides you with higher qualifications and more research and dissertation autonomy. It can last anywhere between four to six years and gives you original publication and research credibility. Both of these computer science degrees are considered graduate degrees, but a PhD provides you with a higher educational accolade.

Master’s vs PhD in Computer Science Job Outlook

The job outlook for a professional with a master’s vs PhD in Computer Science will generally coincide as most senior-level careers can be achieved with a master’s degree. According to the US Bureau of Labor Statistics (BLS), the job outlook for computer and information research scientists is projected to grow by 22 percent between 2020 and 2030.

This job typically requires a master’s degree meaning PhD holders also qualify and can apply for it. The commonality of these job growth statistics also applies to other tech positions, including information security scientists and network architects. That being said, the specific growth rate of your job will also vary depending on your career choice.

For example, university computer science professor positions, which typically only computer science PhD holders are eligible for, have a projected growth rate of 12 percent between 2020 and 2030, according to the BLS. With computer science professionals being high in demand, most PhD in Computer Science jobs have a positive projected growth rate.

Difference in Salary for Computer Science Master’s vs PhD

The difference in salary for computer science master’s vs PhD grads can vary depending on their position and place of employment. According to PayScale, the average salary for a computer science PhD holder is $131,000 per year , which is higher than the average salary of a master’s degree graduate.

According to PayScale, the average salary for a computer science master’s graduate is $105,000 per year . The salary disparity with these degrees stems from the differences in their level of seniority, industry experience, and educational accolades.

Related Computer Science Degrees

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Why You Should Get a PhD in Computer Science

You should get a PhD in Computer Science because it is an advanced and highly reputable degree that will help you land senior technical, academic, and research roles. A PhD is a gateway to a lucrative and innovative technology career, allowing you to follow your research passion across the fields of artificial intelligence, data science, or computing theory.

Reasons for Getting a PhD in Computer Science

• Extensive and advanced research opportunities. A PhD in Computer Science covers many advanced computing science fields. You can learn specialized skills through your research opportunities and eventually work in advanced data science, artificial intelligence, neural networking, information technology, or computing theory.
• Higher salary. PhD graduates qualify for career opportunities working in senior positions as scientists, professors, managers, or heads of departments. These senior positions come with high compensation and job security.
• Rewarding education. A computer science PhD is perfect for those who are interested in contributing toward leading innovation and technology research. As a doctoral student, you can propose and conduct advanced research in the field while contributing to today’s technological growth.
• Increased job candidacy. Having a computer science PhD on your resume and portfolio will enhance your candidacy when applying to tech positions across all industries. A PhD is a highly reputable degree that demonstrates your expertise in the field and ultimately makes you a highly sought-after candidate.

Getting a PhD in Computer Science: Computer Science PhD Coursework

The graduate requirements for getting a PhD in Computer Science and most common PhD coursework are different from program to program and are heavily dependent on your specialization, but often have some commonalities. Here are some examples of courses you may take during your PhD.

System Architecture

A systems architecture course in a computer science PhD covers advanced operating systems, communication technologies, network security, and computer architecture. You’ll also take classes covering topics like network systems and software engineering.

Artificial Intelligence

Artificial intelligence is a rapidly growing field that is integral to the field of computer science and data science. Your program will cover the latest artificial intelligence technologies and research areas such as deep learning, interactive systems, neural networking, and artificial intelligence infrastructure.

Information Assurance

Network security, information assurance, and cyber security are also part of an extensive education coverage of the computer science field. This course will cover vital knowledge concerning information security, system integrity, data privacy, and system authentication.

Data science courses in a computer science PhD program cover topics such as big data, database management, data analytics, data mining, and machine learning subjects. You will learn about data science processes and methods as well as the tools and technologies used in advanced data engineering.

Theory of Computation

A theory of computation course will teach you advanced algorithms, computation models, Turing machines, quantum computing, and automata theories. You’ll also have lessons that cover the Godel Incompleteness theorem and molecular computing.

Best Master’s Degrees

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How to Get a PhD in Computer Science: Doctoral Program Requirements

If you are wondering how to get a PhD in Computer Science and complete the doctoral program requirements, this section will provide you with the answers you’re looking for. The graduation and academic requirements will vary from one PhD program to another, but there are some common requirements across all computer science departments. Here are some of them.

A computer science PhD is an amalgamation of graduate-level courses and research. All PhDs will require you to complete their graduate course requirements which cover topics like data science, computing systems, artificial intelligence, and information assurance. The required number of courses will vary depending on the program but is typically between 10 and 15. 

Maintaining a minimum required cumulative GPA in your courses is a requirement across all PhD programs. The GPA requirement can range anywhere from 3.0 to 3.5. This is one of the major ways your program department tracks your progress and whether or not you are struggling with the work.

Clearing the qualifying exams with a passing grade while maintaining the required GPA is another PhD graduation requirement. Your preliminary exam is a public presentation discussing your research topics with approval committees and other students. Written exams and oral exams come with each course and are a test of your computer science and tech abilities.  

You are typically required to present your research proposal or research initiation project within the first two years of your PhD. You must get your research idea approved by the approval committee and begin the research process within those two years. 

Once you embark on your computer science research process, you are required to present an annual progress report. This presentation is a review process where the approval committee will ask questions and provide feedback on your progression.  

Your PhD milestones may also include publication requirements. For these, you’ll be required to submit one or two peer-reviewed journal or publication entries covering the computer science topics you are researching. 

Universities also require PhD candidates to complete two years of graduate teaching assistantships or research assistantships. These assistantships are one of the best ways to secure funding for your PhD program. 

Getting your dissertation approved and completing your research and thesis is one of the most important milestones of your PhD. Your assigned research committee, thesis advisor, and approval committee will need to approve your research and dissertation for your to be able to graduate. 

Computer science PhDs will have a timeline breakdown that candidates are expected to meet. You will typically need to complete the graduate coursework within two to three years and complete your dissertation and thesis within six years. You can request a timeline extension with your advisor’s approval.

The thesis for your PhD in Computer Science will cover your chosen research subject area. It will include a thesis proposal submission, thesis presentation, and thesis approval process as well as an extensive written document covering your hypothesis, findings, and conclusions. 

Potential Careers With a Computer Science Degree

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PhD in Computer Science Salary and Job Outlook

The salary and job outlook for a PhD in Computer Science will vary according to your job designation but are generally positive. The average salary for some of the highest-paid jobs will range between $86,712 and $179,351. Below are some of the most lucrative career paths a computer science PhD holder can embark on.

What Can You Do With a PhD in Computer Science?

You can work in a wide range of advanced technical positions with a PhD in Computer Science. This doctoral degree qualifies you for positions as a manager, scientist, college professor, and researcher. You could lead an information assurance department or become a computer science professor, chief data scientist, or artificial intelligence researcher.

Best Jobs with a PhD in Computer Science

• Computer Research Scientist
• Computer Science Professor
• Research and Development Lead
• Computer Systems Engineer
• Information Technology Manager

What Is the Average Salary for a PhD in Computer Science?

The average salary for someone with a PhD in Computer Science is $131,000 per year , according to PayScale. Your actual salary will vary depending on your specific position, location, and experience. In fact, with a PhD, you could work as a chief data scientist and make between $136,000 and $272,000 or as a senior software engineer and make $104,000 to $195,000.

Highest-Paying Computer Science Jobs for PhD Grads

Best computer science jobs with a doctorate.

The best computer science jobs with a doctorate degree all earn a high salary and have high projected growth in the next few years. These jobs cover a wide range of computer science disciplines, meaning that you’ll easily be able to find a position doing something you enjoy.

A chief data scientist is in charge of the data analytics and data science departments of an organization. They are responsible for the approval of new database system designs, data strategies, and data management decisions. 

• Salary with a Computer Science PhD: $179,351
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: Oregon, Arizona, Texas, Massachusetts, Washington

A chief information officer is an IT executive responsible for managing and overseeing the computer and information technology departments of a company. Also known as CTOs, they are responsible for delegating tasks and approving innovation and technology upgrade ideas proposed by their teams. 

• Salary with a Computer Science PhD: $168,680
• Job Outlook: 11% job growth from 2020 to 2030
• Number of Jobs: 482,000
• Highest-Paying States: New York, California, New Jersey, Washington, District of Columbia

A senior computer scientist heads the research department of a computer science, artificial intelligence, or computer engineering field. These professionals, along with their research team, are tasked with developing efficient and optimal computer solutions across a wide range of sectors. 

• Salary with a Computer Science PhD: $153,972

An IT security architect is a cyber and information security professional responsible for developing, maintaining, and upgrading the IT and network security infrastructure of a business or organization. Additionally, they oversee an organization’s data, communication systems, and software systems security aspects. 

• Salary with a Computer Science PhD: $128,414
• Job Outlook : 5% job growth from 2020 to 2030
• Number of Jobs: 165,200
• Highest-Paying States: New Jersey, Rhode Island, Delaware, Virginia, Marlyand

A computer science professor is a university professor who educates college students concerning basic and advanced computer science subjects. They are responsible for creating and instructing a course curriculum as well as testing their students. Some computer science professors also work as research faculty at a university. 

• Salary with a Computer Science PhD: $86,712
• Job Outlook: 12% job growth from 2020 to 2030
• Number of Jobs: 1,276,900 
• Highest-Paying States: California, Oregon, District of Columbia, New York, Massachusetts

Is a PhD in Computer Science Worth It?

Yes, a PhD in Computer Science is worth it for anyone wanting to work in senior professions in the field of technology. This doctoral degree opens its recipients up to numerous career opportunities across academia, research and development, technology management, and chief technical positions.

Getting a computer science PhD equips you with specialized skills and extensive research capabilities. During your studies, you’ll get the opportunity to contribute to the rapidly developing world of technology with your original dissertation and specialize in data science, network security, or computing systems.

Additional Reading About Computer Science

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PhD in Computer Science FAQ

The preferred GPA for a computer science PhD is 3.5 or above. Keep in mind that meeting the minimum requirement doesn’t guarantee acceptance. The higher you can get your GPA during your bachelor’s and master’s, the more likely it is you will be accepted to the PhD program of your choice.

The standardized exam you need to take to get a PhD in Computer Science is the Graduate Record Examination (GRE). The GRE score requirements will vary from university to university and several schools have currently waived GRE requirements due to the coronavirus pandemic.

You can choose from a wide range of potential research subjects for your computer science PhD, including computer algorithms, data science, artificial intelligence , or cyber security. You can also research business process modeling, robotics, quantum computing, machine learning, or other big data topics.

You can get into a computer science PhD program by impressing the admissions committee and the school’s computer science graduate department with your skills, experience, grades, and desired research topic. Students with a 3.5 or higher GPA, a high GRE score, extensive IT skills, and an impressive research topic have a higher chance of admission.

About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication .

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Why enroll in a PhD?

What’s a phd degree, and why should one get one.

A PhD, or a Doctor of Philosophy Degree, is the highest degree that one can earn in the United States. An essential component of the Ph degree is performing original research, i.e., creating new knowledge, a body of knowledge that was not available before. This essentially means that as part of doing a PhD, you are solving a non-trivial problem, for which no solution was previously known. Through a PhD degree, you get training in doing research. You also acquire a lot of advanced knowledge in the subject area you choose, and you become the world’s leading expert in that area.

If you are gifted, creative, think outside of the box, and are passionate about computing, you should definitely pursue a PhD. A PhD degree in computer science is highly valued in industry, academia, as well as industrial and government research labs. As a leading expert in the subject area, academia and industrial/government labs will be interested in you and would want to hire you. The computing industry will hire you because you have gone through the training of solving really hard problems in a creative manner, and the companies want to use this skill that you have learned while doing your PhD for solving other issues that they may have, even those that are not related to your subject area. A PhD degree holder gets a lot of respect in the general community as well. Big tech companies would want to hire you as a part of the team engaged in developing future technologies. Above all, earning a PhD can give you the satisfaction of doing something that no one had done before: solving a problem that was unsolved until you solved it.

Doctoral research has been important for humankind’s progress. Many significant and vital discoveries were made as part of an inventor’s PhD thesis. For example, the automatic theorem-proving procedure that underlies nearly all AI reasoning systems was discovered by Jacques Herbrand as part of his PhD thesis research.

It all sounds pretty hard, would I be able to do it. How would one be able to solve a problem that no one else could solve earlier?

It is certainly not easy to earn a PhD. A PhD degree requires a large amount of dedication, passion, and hard work. However, during your PhD, you closely work with your supervising Professor (your advisor), who helps you every step of the way. Your advisor will be your guide, and that makes things somewhat more manageable. Your advisor will help you in selecting the right problem to solve, brainstorm with you when you propose solutions, and advise you on how to avoid pitfalls, etc. The work and the solution to the problem, of course, have to be your own—after all, it’s your PhD.

Your life is also made somewhat easier by a community of scholars—other professors and PhD students – among whom you reside. There are 50+ faculty members and postdoctoral researchers actively conducting research in the UT Dallas CS Department and another 170 PhD students. This community of scholars is there to help you, as well. Your Professor will have their own research group with multiple PhD students, and often all of the group members may be working on different aspects of a larger problem. The whole group is very much like a family and not only provides scholarly help but also a lot of emotional and moral support.

What kind of jobs can one get after doing a PhD?

The job market for PhD’s in computer science is superb. The salaries and perks are excellent too. Computer Science is a rapidly expanding field, and new areas are becoming prominent – AI, machine learning, big data, cyber security, Internet of Things, virtual/augmented reality. Companies are making significant investments in advancing these technologies as well as creating new applications for them. They are recruiting PhD graduates in large numbers at sky-high salaries, perks, and bonuses. Today, the five largest companies by market capitalization in the US stock market are technology companies – Google, Facebook, Microsoft, Apple, and Amazon.com – and they have a voracious appetite for PhD graduates.

Because of the popularity of CS as a degree major, as well as increased investments by the government in computing research, Universities are also hiring professors in large numbers. At UT Dallas, in the last five years, we have hired nearly 25 faculty members.

PhD graduates are also sought after by startups, and, in fact, many PhD graduates themselves have gone on to start their own companies. Google was born out of the research of Sergey Brin (though he never completed his Ph.D. after launching Google). Google was based on a research paper that proposed the page-ranking algorithm written while Sergey Brin was a PhD student.

Can you talk about some of the recent success stories from among your PhD graduates? 

Every year we interview every PhD graduate and post the story on our news page. Here is this year’s story about our PhD graduates . Our graduates have gone to work for top technology companies such as Google, Microsoft, Facebook, Apple, and Amazon. I should make a special mention of Dr. Ashkan Yousefpour, who just joined Facebook, after finishing his PhD in the fall of 2019. His PhD was in the area of networking and machine learning. You can learn more about his success by reading this Q&A with Dr. Yousefpour . Likewise, I should highlight Dr. Laura Moreno, who joined Colorado State University as a faculty member in 2016. You can  read more in this Q&A with Dr. Moreno.

Many people say that doing a PhD has a negative financial impact on that person. Is that true?

Far from being true, it’s actually patently false. PhD graduates of today command incredible salaries, especially if they work for large tech companies. Top earners can make salaries north of $150k per year, with a joining bonus between $50k to $100k and hundreds of thousands of dollars’ worth of stock options. Twelve-months University salaries for tenure-track faculty positions can be as high as $175,000. As a graduate with a PhD in computer science, you will always be in demand by companies, Universities, research labs, etc. A PhD in computer science indeed secures your career against economic downturns, as good computer scientists are and will always be in demand.

How long does the PhD degree take, and how much is it going to cost me?

A PhD degree will take at least four years, if not longer. Four to six years is a reasonable estimate for the range of time. The average at UT Dallas CS is perhaps 4.5 years. The good news is that nearly all our full-time PhD students have 100% of their tuition covered. In addition, PhD students get a monthly stipend ranging from $1,850 to $2,150 for covering living expenses. Financial support is generally guaranteed for four academic years. Of course, a Ph.D. student must keep making excellent progress for the continuation of this support.

Do I need an MS degree in Computer Science in order to apply for the PhD program at UT Dallas CS?

No, you don’t need to have an MS degree in advance. If you have a stellar academic record, you can apply right after your BS CS (or equivalent) degree. You will get an MS degree on the way using the coursework that you do as part of your PhD.

There are more than 200 PhD programs in Computer Science in the United States. Why should I do my Ph.D. at UT Dallas Computer Science Department?

Excellent question. There are several reasons why you should get your PhD degree in Computer Science from UT Dallas. First and foremost, we have superb faculty who are world-renowned for their research in emerging areas such as AI, Machine Learning, Natural Language Processing, Cyber Security, Software Engineering, Data Science, Internet of Things (IoT), etc. Our faculty members have received many best paper awards at various conferences, as well as many test-of-time awards, where a research paper is recognized for its long-lasting impact on the field. Seventeen of our faculty members (as of 2023) hold the prestigious National Science Foundation CAREER award—given to promising young assistant professor through a nationwide competition each year.

Second, we have an incredible system of support for our PhD students. In their first semester, all PhD students are required to take a course where they learn what research and creativity are all about, what is involved in doing a PhD, and how one can be a successful PhD student? Students get their first taste of writing a large research paper – a survey of research in their area of interest – in this introductory class. The department also organizes a weekly mixer of faculty and PhD students, where each week, one research lab briefly introduces itself and gives an overview of its research projects. The lab also provides refreshments for the mixer. In addition, the department runs a reward program, where if a group publishes a paper in a top CS conference, it gets $1,500 towards travel expenses to that conference. In addition, there are weekly seminars explicitly organized for graduate students to attend so they can get to learn about cutting-edge research in computer science. There are other opportunities, as well. For example, teaching in the summer camps that the CS department organizes for high school students, various hackathons and programming competitions, as well as many other academic, scholarly activities. The environment in the CS Department is exceptionally collegial and supportive of PhD students. PhD students are treated as an integral part of the community of scholars in the CS Department.

Third, almost all our PhD students are fully supported. They also have incredible internship opportunities available to them in the later part of their PhD, especially if they plan to pursue a career in industry.

What are the milestones that one has to cross in the PhD program at UT Dallas CS Department?

All PhD students have to pass a PhD qualifying exam in their first year (Exams in three CS subject areas spread over two semesters). Students typically find their PhD advisor in their first year and start on a program of study. They will generally identify their target area of research by their second year and begin reading-related research papers. At this time, a student may also assemble his/her dissertation committee. By the end of the second year or beginning of the third year, they would have identified a specific problem their dissertation would address, and they would start working on solving it in earnest. Once the problem that the student will solve and the approach to solving it has been identified, a thesis proposal will be made to the dissertation committee. Once the committee accepts the proposal, the student will perform the work needed to solve the problem, write the dissertation, and then present it in the final Ph.D. dissertation defense to the committee.

Any parting thoughts that you want to add?

While doing a PhD in Computer Science can be highly lucrative, you should never do a PhD for money alone. You should do a PhD for the love of learning. You should do it because you enjoy learning advanced materials in computer science, because you enjoy solving hard problems, and because you want to be known and respected for creating knowledge that will advance the frontiers of knowledge. Also, a PhD requires dedication, perseverance, and hard work, and the entrance requirements are stringent, and only academically strong students make it to the program.

Learn more about getting a  Ph.D. in Computer Science  or  Software Engineering .

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If you're considering graduate school in Computer Science

Considering graduate school in Computer Science? A good place to start is to talk with one of your CS Profs that you know well. In the meantime, here are some general thoughts on graduate school in computer science.

Frequently Asked Questions About Graduate School

Why (or why not) grad school, how long does it take, what will i do after getting a ms or phd, should i work for a while between dartmouth and grad school, how do i pick a list of programs to apply to, how do i pay for grad school.

• What's important to someone evaluating your application

Hints about applying to grad school

• Reflect. Do some soul-searching. Why do you want to go to grad school? Think about your education so far. What are your passions? What are your goals in life? What excites you? What lifestyles might you want?
• Avoid listening to what others tell you to do; think about what you want.
• An MS is basically a technical degree that gives you more interesting job opportunities. A PhD is basically a research degree, which opens up a host of advanced and research-oriented opportunities.
• Think less about how much money you can make but about quality of life. With a PhD in particular, you will often find there is more autonomy, freedom, vacations, travel, influence, creativity, authority, etc. In industry, MS and PhDs are often a ticket to eventual upper-level management.
• Think more broadly than the major or course offerings at Dartmouth. There are other things - computer science, computer engineering, electrical engineering, computer information science, and even some very unusual special things at some places.
• Talk to professors. Discuss your ideas and goals, and get some advice. Talk to some grad students here and elsewhere. Find out what it's like. Talk to recent alum friends about what they've done, why, and how they like it.
• A PhD can be the ticket to jobs in academia, industry, and government, usually in some research or advanced development capacity, or in teaching at the college and graduate level. Or both teaching and research.

What people will want to know about your PhD work is your research. What's it about? How good is it? How likely is it that you will be able to continue being productive in your area?

• Do you like inquiry, invention, creativity, exploration, reading, discussion, writing, thinking, teaching, discovering the unknown, etc? Do you like to work with others, or independently? (Both are big aspects of research.) Do you like to tackle unstructured problems, or would you rather work on a task assigned to you? Do you prefer thinking up new ideas and sketching out the basic fundamentals, or do you like to deal with finishing the details on a project?
• You can always move after getting a Master's degree. Or take a Master's and run--to industry, or to another school.

4-6 years is typical for a PhD. It can take longer, however. I know folks who took 8 or more years for their PhD. 1-2 years is typical for an MS.

• The PhD is basically a research degree. Note that scientific research today does not fit the "lonely scientist" or "lonely hacker" image, either at the graduate or professional level. Scientists--and computer scientists are scientists--do work with people. This is obviously true for teaching, but research is essentially a collaborative exercise. Meeting people and talking to people is a big part of research.
• An MS is essentially a technical degree, especially useful when you are graduating from here with a liberal-arts BA. It will open up a range of much more interesting jobs than you can get with a BA, with more responsibility, creativity, flexibility, and income, than the typical programmer-type job. At least, sooner.
• Opportunities include academia, industry (research and/or development), and government (research labs).
• Postdoctoral appointments are becoming more common. In this case, after your PhD you go elsewhere for 1-2 years to do more research under a different advisor, in a different place, on a different project. Then you would go on to one of the above situations.

This is a very personal issue.

Advantages to working:

• It gives you valuable perspective in grad school.
• Sometimes the company will pay for your schooling.
• Gives you time to consider whether you want grad school at all.
• You can save up some money.

Disadvantages of working:

• You get used to the big fat paycheck, and it's hard to take a 75% pay cut.
• You get out of practice of "going to school".
• If you didn't take GRE as a senior, you forget a lot.
• If you did take GRE as a senior, the scores "expire" after a few years.
• Sometimes you lose "currency" if your job doesn't allow you to learn as you work.

So, if you really know you want grad school, go for it. Otherwise, you might consider working for 2-3 years, and then going to grad school.

• Choose the best programs that you can get into.
• Add 1-2 "safe" schools, that you are pretty sure you'll get into, but you wouldn't hate to be at. Remember that it is possible you'll get into some of your preferred choices, but maybe not with financial support. So, choose good schools, but ones that are perhaps less competitive.
• Pay no attention to the academic reputation of the university. It is essentially irrelevant. What matters is the reputation of the department (program) where you will be applying.
• Read their papers. Are you interested in their research?
• Find Dartmouth alums who are now students there; talk to them or find Dartmouth profs who were grad students there and talk to them.
• Student/faculty ratio.
• Success rate.
• Size of program.
• What will you learn there?
• What is required of you there?
• Who is doing interesting work there?
• Departmental dynamics...is there collaboration? Departments like this tend to be more congenial.
• Placement of recent PhDs.
• Look through journals in your area of interest; find out who is doing work in that area and where they are from.
• Talk to Dartmouth professors who are in the same general field as the one you are interested in. Discuss the schools you are considering. Ask them for suggestions. Ask them about particular professors and programs. They have connections, too, which might get you more information.
• Visit the campus. Tour the facilities. Talk to grad students, especially those who work with someone you're considering as a potential adviser. Try to get a feel for the atmosphere, the morale. This is more important than you realize. Consider things such as office space, library support, computing facilities, special research labs or computers, etc. These are important when you try to do research. Try to talk to the relevant professors. Consider the locale, and the cost of living.
• Big, famous schools are not necessarily better. In a big place you might have trouble standing out. Consider being a big fish in a small pond. On the other hand, small places can sometimes be somewhat limiting in terms of resources and variety.
• Many terminal-Master's programs (those where you are not planning to get a PhD, just a Master's) require you to pay tuition and fees. Note that many big companies will pay all this for their employees, sometimes on a part-time basis and sometimes as a year off for school, while still paying you that same huge salary! It's an option. (Same for PhD, too, though a part-time PhD takes forever!)
• Teaching assistantship (TA): You have to help run labs, tutor, grade, or even teach. First-year students rarely actually teach.
• Research assistantship (RA): You help a particular professor with their research, usually supported by a grant.
• Fellowship: This is the best. Usually this gives you all the money but with no teaching or research opportunities. Some schools do this for many of their first-year students, with the expectation that you will become a TA or RA in later years. A really good deal gives this to you for 3 or 4 or 5 years.
• Definitely plan to apply for third-party fellowships. Many require you to be a US Citizen, but not all. If you can get one of these, they often pay more, usually don't require any teaching or other duties, and you can call up the schools and tell them you have your own funds...which they are definitely psyched about. It also looks great on your resume in the future.
• One thing to know is that your guaranteed student loans (GSLs) are deferred (interest-free) so you don't have to pay them while you're a full-time student. So when you graduate from grad school, and have a big fat paycheck, and inflation has reduced your loans to a fraction of their former value, then you pay them off.

What's important to someone evaluating your application

• For most letters, you have a choice of whether to waive your right to see the letter. You should always waive this right. Yes, it may bother you greatly to waive any right, but think about it this way. If you do not waive this right, then your letter writers will not be able to write about you in confidence. Your letter readers will know this, and the letters about you will be discounted. In essence, the one subjective source of information on you has become worthless. So make sure you waive your right to see your letters.
• If you can, include something that makes you special, like a paper you wrote or the description of a programming project or the like. These "appendices" are perfectly fine and will often really make a big difference. Do not send a printout of code. But you might consider pointing to a cool program you wrote, say on github, if you really have something to show for it. Most people won't bother to try it, but they might if you make it easy for them.
• Test scores and grades are somewhat important; bad scores and grades are enough to keep you out, but great scores and grades are not enough to get you in.
• The essay is moderately important; in particular, it had better not be bad. The best essays somehow set you apart. Write your essay carefully, and rewrite it again and again. Tell them what research areas you are interested in, and why. Make it clear that you have a passion for research and would gladly charge through a machine-gun nest for the privilege of doing research. Tune the essay for each place you apply; tell them why you want to go there. Get the essay read over by someone else; make sure it is written really well. Sell yourself! Tell them what makes you unique. If you have written a research paper, or a major computer project, send them the paper (or documentation, if reasonable), perhaps after cleaning it up by making it even better.
• Start early: senior fall, or even junior summer.
• Write to lots of departments and request informational brochures and application materials.
• Take the GREs in October, or at least in December, and have the scores forwarded directly to the schools where you are applying.
• Request transcripts and have them directly forwarded.
• Send in your application well before the deadline.
• Follow up on everything. If you're using snail-mail, be paranoid.  (Who uses snail-mail anymore?) For example, send your application materials return-receipt-requested, and include a self-addressed, prestamped postcard that says "XXX university has received my materials", so that you know when they have arrived. Call them if you do not receive this. Especially: followup on faculty letters of recommendation (be tactful of course), regardless of whether they are submitted electronically or physically.
• Ask for your letters of recommendation early, October if you can. Go ahead and ask even before you have all the forms they will need, or even before you know the complete list of places you will apply. They can start writing the letter and then mail it when you give them the materials. Ask for the letters in person if possible - talk with the prof for a little while. (Make sure they remember who you are! Obviously, you want someone who really knows you well.)

The primary focus of the doctoral program is research, with the philosophy that students learn best by doing—beginning as apprentices and becoming junior colleagues working with faculty on scholarly research projects. The faculty in the department conduct research in all areas of computer science. The degree of Doctor of Philosophy requires a dissertation based on the candidate’s original research, which is supervised by a faculty member, and all students in the Ph.D. program are actively engaged in research throughout the program. Ph.D. students spend at least half of their time on research under the direction of their faculty adviser from their first day in the program and devote themselves full time to research after coursework and other preliminaries have been completed. Ph.D. students are also expected to participate in departmental and laboratory activities full time throughout the program, except possibly for summer internships elsewhere, and the department does not consider admission of part-time Ph.D. students.

DEPARTMENTAL INFORMATION FOR DOCTORAL STUDENTS

• Program Requirements
• MS leading to PhD
• Milestones Chart
• Milestones Registration Form: Candidacy, Thesis Proposal, Thesis Defense
• PhD course Import Forms
• PhD Algorithms Prerequisite Form
• Data Science Specialization Option  (further details here )

SCHOOL/UNIVERSITY INFORMATION FOR DOCTORAL STUDENTS

• Registration
• SEAS Doctoral Fieldwork (CPT) Policy
• Time-Off Policy for Doctoral Students on Appointment in the Sciences and Related Research Fields

GENERAL PHD INFORMATION AND ADVICE

• CAREER Club
• Computer Science Open Data
• Computer Science Graduate Job and Interview Guide
• Background in case you ever need to teach online with two days notice
• The Definitive ‘what do I ask/look for’ in a PhD Advisor Guide
• The Thesis Whisperer
• Prem Devanbu’s Review Anti-Patterns
• Computer Science Rankings
• Michael Ernst’s Compilation of Great Advice
• Productivity Tips for PhD Students
• Getting Admitted to a Top PhD Program
• Tips on the Interview Process
• Networking on the network
• Advice on research and writing
• More advice on writing
• Corporate Lab or Academic Department, Which Fits?
• How To Survive A Thesis Defense
• 10 easy ways to fail a PhD
• Dealing with plagiarism
• Academic job site
• Computing Research Association
• IEEE Computer Society

(link suggestions appreciated; send email to [email protected] )

Last updated on March 13, 2024.

Find open faculty positions here .

Computer Science at Columbia University

Upcoming events, class day graduate ceremony.

Sunday 3:00 pm

South Lawn, Morningside Campus

Class Day Undergraduate Ceremony

Monday 11:45 am

CS Awards Ceremony and Celebration

Monday 1:00 pm

CSB 451 CS Auditorium

Commencement

Wednesday 10:00 am

In the News

Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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PhD Requirements

The doctor of philosophy in computer science is above all a degree of quality that is not conferred simply for the successful completion of a specified number of courses or years of study. It is a degree reserved for students who demonstrate both a comprehensive understanding of computer science and an ability to do creative research. Each PhD student will produce a significant piece of original research, presented in a written dissertation and defended in an oral examination. The expected level of quality is such that one or more conference or journal articles could be based on the research described in the dissertation. Along the way students will likely generate several other research papers, many of them co-authored with their dissertation advisor and other graduate students. 

Graduate Admissions

PhD Degree Plan

 Apply to our Graduate Program

Ready to apply? Start your application on Slate, the centralized application portal for graduate admissions at the University of Oregon.

The structure of the PhD program described here is intended to facilitate the process of learning how to do research. Throughout the program students will take courses intended to build a foundation of knowledge that is essential for advanced research. During their first year in the program, students begin with work on a directed research project under the close supervision of a faculty member. In the middle stages of the program, students will take fewer courses and spend most of their time building a foundation of knowledge in their research area and learning how to identify and solve open problems under the guidance of the Dissertation Advisory Committee (DAC). The final step is to propose an independent research topic, conduct the research, and then write and defend a dissertation.

Academic Advisor 

The Graduate Program Coordinator will assign an academic advisor to each student admitted to the PhD Program. The academic advisor does not have to be in the student's potential research area. In fact, it is recommended that in the first few years in the program the academic advisor not be the student's eventual dissertation advisor in order to provide a different perspective for the student. A student can change his or her academic advisor by making a request to the Graduate Education Committee (GEC). Towards the latter years of the PhD program, it is common for the academic advisor and research advisor to be the same individual. 

Division of Graduate Studies Policies (Extremely Important) 

It is essential that all PhD students be familiar with GradWeb and the Division of Graduate Studies policies through careful review of the Graduate Studies website . For example, they should note the Doctoral Policy and Procedures pertaining to time limit, residency and continuous enrollment. Students who have any questions about these matters should consult with the Graduate Program Coordinator. 

Course Requirements 

PhD students who enter the program without a master's degree in computer science are required to take 48 credits in graduate classes. They must also meet the breadth and depth requirements .

Breadth and Depth Requirements

PhD students may be awarded a master's degree after completing all of the MS degree requirements and applying for graduation. 

PhD students must earn a minimum grade of B- and an overall GPA of 3.5 in the six courses they use to satisfy the breadth and depth requirements. 

PhD students must take an additional 24 credits of graduate-level courses, 12 of which must be from 600-level courses. Courses numbered 510, which appear on the approved course list, may be included in any 500-level credits. For graduate level courses taken in other departments on campus, a petition to the Graduate Education Committee is required. 

Students who enter with a master's degree may petition the Graduate Education Committee to waive any of the above course requirements, indicating how their prior graduate work corresponds to the above courses. See the Graduate Program Coordinator for the petition. 

Minimum Annual Enrollment 

Prior to candidacy, all PhD students are expected to enroll in at least six credits worth of 600-level courses each year. These six credits can be any 600-level course used to complete the breadth, depth, or elective requirements, as described above. Note that Research (CIS 601), Dissertation (CIS 603), and Readings (CIS 605) cannot be used to satisfy this requirement. After candidacy, PhD students are encouraged to continue participating in 600-level courses. 

Directed Research Project

Each student must complete a directed research project under the close supervision of a faculty member. The goals of the Directed Research Project (DRP) are two-fold. One is to give a PhD candidate an early opportunity for a research experience under supervision of a faculty committee. The other is to give an early assessment of the candidate's research potential in the department's environment. To achieve these goals, the DRP is to be completed in a timely fashion (see DRP timeline). 

The scope of a DRP should be somewhere between an undergraduate honors and a master's thesis. A desired result of a DRP is a publishable paper or a departmental technical report. 

A DRP consists of the following components: literature review, research, possibly software artifact, written report in the form of the DRP final paper, public presentation of the results, and the exam by private questioning from the committee members. 

Formation of the DRP Committee : The student and the faculty sponsor agree on a project, committee members, timeline and deliverables The DRP committee consists of the faculty sponsor and two other CS faculty members, one preferably outside the immediate project area. A faculty member of another department with a "participating" appointment in the CS Department can count as one of the two CS members.

The DRP Contract : The student writes up a DRP contract that includes project description, DRP committee members, time line and deliverables (about 2-4 pages), attaches a copy of the APPROVAL FOR THE DRP CONTRACT FORM with signatures, and submits it to the GEC for approval by turning it in to the Graduate Program Coordinator. This form can be obtained from the Graduate Program Coordinator. See DRP timeline regarding submission of this form.

Research Credits : The student will register for 4-6 credits of 601 Research during each of the terms in which the research will be conducted, possibly for less in the initial and/or final term of the project. See DRP timeline for deadline for completion of the DRP.

The DRP Paper : The DRP paper reports the results of the student's research project in a professional format and style. Two weeks prior to the scheduled presentation, the student must submit the paper and other deliverables to the DRP Committee.

The DRP Presentation and Questioning : The student, in consultation with the faculty sponsor, must schedule the DRP presentation through the Graduate Program Coordinator who will confirm and notify the faculty and graduate students. The DRP presentation is a public talk given in the department. It is followed by private questioning of the student by the DRP Committee and other faculty members. At the end of the exam, the DRP Committee agrees on the outcome of the DRP.

Possible Outcomes of the DRP : The possible outcomes are:

• Pass, with distinction,
• Conditional pass (e.g. perform some remedial work pertinent to the project) or,

A conditional pass will have a specified deadline for completion of the remedial work. Failure of a DRP could result from one or more of the following: not completing the DRP in a timely fashion; not fulfilling the contract; inadequacy in the quality of work performed; inadequacy of the written report and/or oral presentation; inability to answer questions pertaining to the project.

In case of a fail for the DRP, the student could be asked to leave the program or may be given the option of undertaking another DRP. The DRP can be repeated at most once, and the second DRP must be successfully completed within three quarters of residence following the decision.

The results of the DRP are indicated on the RESULTS OF THE DIRECTED RESEARCH PROJECT FORM, each committee member signs, and the form is then returned to the Graduate Program Coordinator. The student then must  submit their DRP report to CS archives .

DRP Timeline

APPROVAL FOR THE DRP CONTRACT FORM must be submitted by week eight of spring term in the student's first year.

RESULTS OF THE DIRECTED RESEARCH PROJECT FORM indicating completion of the DRP must be submitted according to the following schedule. This schedule presumes fall admission to the Ph.D. program. For off-cycle admission, the student should consult with GEC for precise deadlines.

Following the completion of a DRP, the student forms their Dissertation Advisory Committee (DAC), chooses an area of research, and begins the process of preparing for the Area Exam. The milestone should be completed about one year after the DRP.

Dissertation Advisory Committee

Ph.D. Students will form a Dissertation Advisory Committee (DAC) immediately upon completion of their DRP. The student's research advisor will be the chair of the committee. Just as with the DRP, the other two members of the committee are CS faculty, or one CS faculty and a faculty from another department with a "participating" appointment in CS. An outside member is optional for the early stages, but should be part of the Division of Graduate Studies mandated Dissertation Committee. (See the  Division of Graduate Studies Doctoral Dissertation Committee Policy ). The main role of the DAC will be to advise students during the phase of the Ph.D. program between the passing of the DRP and the scheduling of the dissertation defense. The DAC will take primary responsibility for evaluating student progress. Students will meet with their DAC at least once every academic year. Two weeks before the annual review meeting the student will fill out an annual review form and write a short research paper and submit both to their committee members. The annual meeting will include a private oral presentation at which the student will give a summary of their research and their goals for the coming year. There will be a short question and answer period, followed by a closed session where the committee will discuss the student's progress. The chair of the DAC will write a report and submit it to GEC.

Annual DAC review meetings must be scheduled before the fifth week of Winter Quarter, and held by the end on Winter Quarter.  Holding the DAC prior to this deadline is encouraged.

The Area Exam (formerly known as Oral Comprehensive Exam)

In consultation with the Dissertation Advisory Committee (DAC), the student further defines their research area. This is described in a written study plan, which defines the area and contains a reading list. During the preparation period, the student should consult their advisor periodically to monitor progress. As an end result, the student writes a position paper. This paper should describe the research area, its main methodology and results, as well as the sub-area of the student's future research. After the paper is approved by the DAC, the student gives a public presentation covering the area as presented in the student's research paper, after which he or she will be quizzed by the DAC members. Upon completion of the talk, have the form signed by all DAC members and the head of GEC, and return it to the Graduate Program Coordinator. The student then must submit their Area Exam to CS archives . Find timeline details and other important information about this process on the CS Intranet .

Dissertation Proposal, Research, and Defense

The final phase in a student's PhD program is the dissertation. During this phase, the student forms the Dissertation Committee in consultation with his or her advisor, identifies a significant unsolved research problem, carries out the research required to solve the problem, and then writes and defends a dissertation. Find all dissertation requirements on the CS Intranet .

Limits of Financial Support 

Time limits: PhD students are eligible for GE funding from the CS department (henceforth referred to as "departmental support") during their first five years of graduate study at the University of Oregon. Eligibility is not a guarantee of funding. See the rules for yearly application for GE funding after the first two years in the program. 

For students who enter the MS program at the University of Oregon and then transfer to the PhD program, the five years of eligibility includes all time in the graduate program, including the MS program. 

This limit applies regardless of other funding a student may receive during the first five years of graduate study at the University of Oregon, including GE-R (research) support from CS and any kind of support from outside the department. 

While students are eligible for five years of departmental support, PhD students should typically find GE-R support in their research areas after the first two years. Moving from departmental support to grant-supported research assistantships both accelerates the progress of PhD research and makes department-funded GE positions available for incoming students. 

The time limits specified above pertain only to departmental support from department funds. If a student is grant supported, he/she may receive financial support beyond the five year eligibility limit. 

Annual Review

Students are reviewed on an annual basis (as outlined in section VII), and reappointment is subject to satisfactory academic performance and progress, as well as satisfactory performance in their GE-Teaching role. Failure to meet the deadlines for the DRP, Area Exam, and PhD Proposal are possible grounds for suspension or termination of financial support. 

In early spring term, the Dissertation Advisory Committee will report to GEC the quality of each student’s work. At this time, any areas of concern or commendation are discussed. These results are communicated to students via an official letter discussing their performance.

Office Space and Computer Accounts

Office space for unsupported PhD students is not guaranteed. Office space will not be given to students after they have completed their degree. Graduating students can continue their computer accounts, as alumni, for one year. 

PhD in Computer Science

Ranked among the top 25 programs in the United States, our PhD program features world-renowned faculty, interdisciplinary research, and a spirit of collaboration.

Master of Science/Doctor of Philosophy (MS/PhD)

Most computer science graduate students are admitted into the MS/PhD track. That means they are intending to work toward a PhD, but will acquire a master’s degree along the way. During the first stage of a student’s graduate career, he or she will be simultaneously working toward the MS degree and compiling a portfolio, both of which are requirements of the PhD.

Doctor of Philosophy (PhD)

Students admitted into the PhD-only program usually arrive at UMass having already earned an MS degree at an accredited university.

Application information & deadlines

December 15, 2023, computer science.

The College of Information and Computer Sciences (CICS) offers a world-class curriculum in support of advanced degrees.

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PhD Time Limits & Milestones

Graduate college time requirements for degree.

• Bachelors to PhD Program Time Limits - 7 years from first term enrolled in doctoral program. Please see Illinois CS PhD Milestones below for the Department's Time Requirement for Ph.D.
• PhD Program Time Limits with a MS at Illinois - 5 years (2 yrs. for MS and 5 yrs. for PhD)
• PhD Program Time Limits with a Non-Illinois MS - 6 years from first term enrolled in doctoral program

Illinois CS PhD Milestone Timeline

The department's timeline is an average of 6 years to complete the Ph.D. degree. The timeline below is based on a 5-year program of study.

Graduate Advising

The Graduate Academic Office, a guiding hand for CS graduate students, assistance is available every weekday.

How Long Does It Take to Get a Ph.D. Degree?

Earning a Ph.D. from a U.S. grad school typically requires nearly six years, federal statistics show.

How Long It Takes to Get a Ph.D. Degree

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A Ph.D. is most appropriate for someone who is a "lifelong learner."

Students who have excelled within a specific academic discipline and who have a strong interest in that field may choose to pursue a Ph.D. degree. However, Ph.D. degree-holders urge prospective students to think carefully about whether they truly want or need a doctoral degree, since Ph.D. programs last for multiple years.

According to the Survey of Earned Doctorates, a census of recent research doctorate recipients who earned their degree from U.S. institutions, the median amount of time it took individuals who received their doctorates in 2017 to complete their program was 5.8 years. However, there are many types of programs that typically take longer than six years to complete, such as humanities and arts doctorates, where the median time for individuals to earn their degree was 7.1 years, according to the survey.

Some Ph.D. candidates begin doctoral programs after they have already obtained master's degrees, which means the time spent in grad school is a combination of the time spent pursuing a master's and the years invested in a doctorate. In order to receive a Ph.D. degree, a student must produce and successfully defend an original academic dissertation, which must be approved by a dissertation committtee. Writing and defending a dissertation is so difficult that many Ph.D. students drop out of their Ph.D. programs having done most of the work necessary for degree without completing the dissertation component. These Ph.D. program dropouts often use the phrase " all but dissertation " or the abbreviation "ABD" on their resumes.

According to a comprehensive study of Ph.D. completion rates published by The Council of Graduate Schools in 2008, only 56.6% of people who begin Ph.D. programs earn Ph.D. degrees.

Ian Curtis, a founding partner with H&C Education, an educational and admissions consulting firm, who is pursuing a Ph.D. degree in French at Yale University , says there are several steps involved in the process of obtaining a Ph.D. Students typically need to fulfill course requirements and pass comprehensive exams, Curtis warns. "Once these obligations have been completed, how long it takes you to write your dissertation depends on who you are, how you work, what field you're in and what other responsibilities you have in life," he wrote in an email. Though some Ph.D. students can write a dissertation in a single year, that is rare, and the dissertation writing process may last for several years, Curtis says.

Curtis adds that the level of support a Ph.D. student receives from an academic advisor or faculty mentor can be a key factor in determining the length of time it takes to complete a Ph.D. program. "Before you decide to enroll at a specific program, you’ll want to meet your future advisor," Curtis advises. "Also, reach out to his or her current and former students to get a sense of what he or she is like to work with."

Curtis also notes that if there is a gap between the amount of time it takes to complete a Ph.D. and the amount of time a student's funding lasts, this can slow down the Ph.D. completion process. "Keep in mind that if you run out of funding at some point during your doctorate, you will need to find paid work, and this will leave you even less time to focus on writing your dissertation," he says. "If one of the programs you’re looking at has a record of significantly longer – or shorter – times to competition, this is good information to take into consideration."

He adds that prospective Ph.D. students who already have master's degrees in the field they intend to focus their Ph.D. on should investigate whether the courses they took in their master's program would count toward the requirements of a Ph.D. program. "You’ll want to discuss your particular situation with your program to see whether this will be possible, and how many credits you are likely to receive as the result of your master’s work," he says.

How to Write M.D.-Ph.D. Application Essays

Ilana Kowarski May 15, 2018

Emmanuel C. Nwaodua, who has a Ph.D. degree in geology, says some Ph.D. programs require candidates to publish a paper in a first-rate, peer-reviewed academic journal. "This could extend your stay by a couple of years," he warns.

Pierre Huguet, the CEO and co-founder of H&C Education, says prospective Ph.D. students should be aware that a Ph.D. is designed to prepare a person for a career as a scholar. "Most of the jobs available to Ph.D. students upon graduation are academic in nature and directly related to their fields of study: professor, researcher, etc.," Huguet wrote in an email. "The truth is that more specialization can mean fewer job opportunities. Before starting a Ph.D., students should be sure that they want to pursue a career in academia, or in research. If not, they should make time during the Ph.D. to show recruiters that they’ve traveled beyond their labs and libraries to gain some professional hands-on experience."

Jack Appleman, a business writing instructor, published author and Ph.D. candidate focusing on organizational communication with the University at Albany—SUNY , says Ph.D. programs require a level of commitment and focus that goes beyond what is necessary for a typical corporate job. A program with flexible course requirements that allow a student to customize his or her curriculum based on academic interests and personal obligations is ideal, he says.

Joan Kee, a professor at the University of Michigan with the university's history of art department, says that the length of time required for a Ph.D. varies widely depending on what subject the Ph.D. focuses on. "Ph.D. program length is very discipline and even field-specific; for example, you can and are expected to finish a Ph.D, in economics in under five years, but that would be impossible in art history (or most of the humanities)," she wrote in an email.

Kee adds that humanities Ph.D. programs often require someone to learn a foreign language, and "fields like anthropology and art history require extensive field research." Kee says funding for a humanities Ph.D. program typically only lasts five years, even though it is uncommon for someone to obtain a Ph.D. degree in a humanities field within that time frame. "Because of this, many if not most Ph.D. students must work to make ends meet, thus further prolonging the time of completion," she says.

Jean Marie Carey, who earned her Ph.D. degree in art history and German from the University of Otago in New Zealand, encourages prospective Ph.D. students to check whether their potential Ph.D. program has published a timeline of how long it takes a Ph.D. student to complete their program. She says it is also prudent to speak with Ph.D. graduates of the school and ask about their experience.

Online Doctoral Programs: What to Expect

Ronald Wellman March 23, 2018

Kristin Redington Bennett, the founder of the Illumii educational consulting firm in North Carolina, encourages Ph.D. hopefuls to think carefully about whether they want to become a scholar. Bennett, who has a Ph.D. in curriculum and assessment and who previously worked as an assistant professor at Wake Forest University , says a Ph.D. is most appropriate for someone who is a "lifelong learner." She says someone contemplating a Ph.D. should ask themselves the following questions "Are you a very curious person... and are you persistent?"

Bennett urges prospective Ph.D. students to visit the campuses of their target graduate programs since a Ph.D. program takes so much time that it is important to find a school that feels comfortable. She adds that aspiring Ph.D. students who prefer a collaborative learning environment should be wary of graduate programs that have a cut-throat and competitive atmosphere, since such students may not thrive in that type of setting.

Alumni of Ph.D. programs note that the process of obtaining a Ph.D. is arduous, regardless of the type of Ph.D. program. "A Ph.D. is a long commitment of your time, energy and financial resources, so it'll be easier on you if you are passionate about research," says Grace Lee, who has a Ph.D. in neuroscience and is the founder and CEO of Mastery Insights, an education and career coaching company, and the host of the Career Revisionist podcast.

"A Ph.D. isn't about rehashing years of knowledge that is already out there, but rather it is about your ability to generate new knowledge. Your intellectual masterpiece (which is your dissertation) takes a lot of time, intellectual creativity and innovation to put together, so you have to be truly passionate about that," Lee says.

Curtis says a prospective Ph.D. student's enthusiasm for academic work, teaching and research are the key criteria they should use to decide whether to obtain a Ph.D. degree. "While the time it takes to complete a doctorate is an understandable concern for many, my personal belief is that time is not the most important factor to consider," he says. "Good Ph.D. programs provide their students with generous stipends, health care and sometimes even subsidized housing."

Erin Skelly, a graduate admissions counselor at the IvyWise admissions consulting firm, says when a Ph.D. students struggles to complete his or her Ph.D. degree, it may have more to do with the student's academic interests or personal circumstances than his or her program.

"The time to complete a Ph.D. can depend on a number of variables, but the specific discipline or school would only account for a year or two's difference," she wrote in an email. "When a student takes significantly longer to complete a Ph.D. (degree), it's usually related to the student's coursework and research – they need to take additional coursework to complete their comprehensive exams; they change the focus of their program or dissertation, requiring extra coursework or research; or their research doesn't yield the results they hoped for, and they need to generate a new theory and conduct more research."

Skelly warns that the average completion time of a Ph.D. program may be misleading in some cases, if the average is skewed based on one or two outliers. She suggests that instead of focusing on the duration of a particular Ph.D. program, prospective students should investigate the program's attritition and graduation rates.

"It is worthwhile to look at the program requirements and the school's proposed timeline for completion, and meet current students to get their input on how realistic these expectations for completion are," Skelly says. "That can give you an honest idea of how long it will really take to complete the program."

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