education phd uc berkeley

Graduate Group in Science and Mathematics Education (SESAME)

The Graduate Group in Science and Mathematics Education (known informally as SESAME) offers an interdisciplinary graduate program leading to a doctoral degree in science, mathematics, technology, and engineering education. The program is designed to give graduates advanced expertise in a STEM discipline as well as in educational theory and research methodologies.

This Graduate Group was established so individuals with training or experience in a mathematical, scientific, or technical discipline can pursue advanced studies focused on educational issues in these disciplines. SESAME produces scholars who can communicate effectively with scientists, mathematicians, and engineers as well as with educational researchers and practitioners. SESAME students are expected to attain a level of expertise equivalent to that of a Master's student in their chosen discipline.

To apply to the Interdisciplinary Ph.D. in Science and Mathematics Education, see the  Online Graduate Application.  We encourage you to read our application instructions thoroughly and begin your application early.

SESAME also offers a  Learning Sciences Certificate in Instructional Design, Learning Technologies, and Education Research .

Leaders for Equity and Democracy

Interested in transforming public education.

Register below to attend a virtual Information Session or Demonstration Class. Admissions for Cohort 3 will open in Fall of 2024, with classes commencing in Summer 2025.

LEAD Cohort 1

Register for a live virtual info session

• Thursday, August 22, 5:30 pm PT
• Tuesday, October 22, 5:30 pm PT

Register for an in-person demonstration class

• Saturday, September 28, 9:00 am PT

What is LEAD EdD?

The success of our democracy relies on equitable schools, which in turn rely on transformational system leaders. To this end, UC Berkeley’s educational doctorate, Leaders for Equity and Democracy (LEAD), engages passionate, equity-conscious, practicing leaders with the theories, research design principles, operational capacities, and networks they need to effect large-scale change in education. Importantly, at the end of the three-year, transdisciplinary program, graduates leave exceptionally prepared to design liberatory educational systems. Such leaders are committed to and capable of realizing our potential as a nation - an inclusive America focused on uplifting the brilliance of its vibrant, diverse communities.

LEAD’s big ideas

• To lead the system, you must see the system.
• You can’t solve cross-sector problems with single-sector solutions.
• You either design for equity or you perpetuate inequity.
• A leader is a steward of the public good.
• System leaders think slowly.
• Leadership is an embodied practice.

What sets us apart?

• LEAD is a rigorous AND supportive three-year doctoral program , priding itself on exposing working practitioners to intellectually stimulating content and assignments while ensuring they have the resources they need to complete their research and graduate within normative time. Nationally, less than half of those who enter doctoral programs graduate, 1 a trend LEAD was designed to disrupt. Like its successful sister program, the Principal Leadership Institute , which supports close to 100% of its students to graduation, LEAD makes a commitment to enrolling students to provide the scaffolding needed to meet success. Click here to see a sample course progression .
• LEAD blends cohort learning with personalized pathways allowing students to dig deeply into issues of leadership development, change management, and identity (personal/professional/ scholar), while providing access to world-class faculty who specialize in specific areas of practice. Because successful system leadership requires cross-sector skills and resources, students also have the option to take courses across the BSE, in Berkeley’s renowned Goldman School of Public Policy and the Haas School of Business, or at partnering institutions, including Stanford University, UC Davis, Harvard University, or Mills College. Click here for sample elective course descriptions.
• LEAD reimagines doctoral students as active designers for equity. In addition to completing coursework, LEADers learn by doing. Students engage in a variety of performative experiences, providing practice in the art of system leadership. Additionally, each student completes two field visits throughout the course of their studies. One field visit will take place within a public education system (e.g., district office, county office of education, Special Education Local Planning Area, public institute of higher learning, etc.), while the other focuses on educational innovation outside of its traditional bounds, allowing practitioners to explore spaces they may not otherwise have the opportunity to experience.  Click here for more info on field visits.  
• LEAD prepares scholar-practitioners who engage with research to influence practice.  LEAD’s dissertations are designed to incorporate rigorous research and scholarship in the quest to bring about different outcomes in the field. This emphasis on translating research to practice leads students to produce dissertations ready for submission to a variety of journals. The dissertation is the third publishable piece most students produce, with two smaller, faculty-supported publication milestones earlier in the program.
• LEAD recognizes that leadership occurs from multiple seats within and across organizations and sectors. Our commitment to equity and democracy necessitates a focus on collectivist decision-making to ensure the full participation of all constituents, and particularly those furthest from opportunity. At the same time, we recognize the need for equity-focused system leaders across a variety of institutions. In addition to preparing students for careers in formal PreK-20 settings, we position our graduates to advance equity throughout the public sector, in mission-aligned nonprofits, through policy or advocacy efforts, and through a variety of global initiatives.

How do I apply?

The admissions window for Cohort 3 will open in September of 2024, with instruction commencing in July of 2025. 

Where can I learn more?

Register for a Cohort 3 info session above. A video of a recorded Cohort 2 information session is available here . Note that specific program details may differ slightly in future cohorts, although no large overhaul is foreseen at present. 

To stay updated as engagement opportunities, public classes, and information sessions arise, please  subscribe to the Leadership Programs newsletter . For individual questions or to schedule a conversation with a LEAD faculty member, you are invited to contact us at [email protected] .

1 Gardner, S. K. (2009). Student and faculty attributions of attrition in high and low- completing doctoral programs in the United States. Higher Education, 58 (1), 97- 112.

Program Faculty

Support the LEAD EdD Program

Dr. Lihi Rosenthal Director, Leaders for Equity and Democracy

Staff contact: Nelly Hernández Sustaíta [email protected]

Dr. Rebecca Cheung Assistant Dean, Leadership Programs Director, 21CSLA State Center

Staff contact:  Rae Yuen [email protected]

Dr. Jabari Mahiri Faculty Director, Leadership Programs Professor of Education Brinton Family Endowed Chair in Urban Education

PhD Program

PhD Program in Business Administration

Welcome to the Berkeley Haas PhD Program! Partner with world-class faculty for a rigorous academic program in one of eight fields of study. Join a premier business school and a leading research university with a Nobel Prize-winning tradition – where you can seek new ideas and make an impact on global business and education.

The application for fall 2025 will open in September 2024, and close on December 2, 2024.

Get event announcements

Events Calendar

News & announcements, fields of study, berkeley haas phd admissions events.

Feel free to contact the PhD Admissions Office for more information.

Event schedule for the 2025 program

* Note : All participants are required to sign into a Zoom account before joining the virtual meetings hosted by UC Berkeley. If you do not have a Zoom account, please create a free account.

News from Berkeley Haas

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Our Diversity Commitment The PhD Project

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The School of Information is UC Berkeley’s newest professional school. Located in the center of campus, the I School is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy.

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The School of Information offers four degrees:

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world.

The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.

The Master of Information and Cybersecurity (MICS) is an online degree preparing cybersecurity leaders for complex cybersecurity challenges.

Our Ph.D. in Information Science is a research program for next-generation scholars of the information age.

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The School of Information's courses bridge the disciplines of information and computer science, design, social sciences, management, law, and policy. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members.  More information about signing up for classes.

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Research by faculty members and doctoral students keeps the I School on the vanguard of contemporary information needs and solutions.

The I School is also home to several active centers and labs, including the Center for Long-Term Cybersecurity (CLTC) , the Center for Technology, Society & Policy , and the BioSENSE Lab .

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Funding Your Ph.D. Education

At the I School, all our Ph.D. students receive funding packages with a minimum of six years of financial support through a combination of fellowships, research positions, and academic student employment. Details of individual funding packages may vary; in order to take full advantage of offered funding, students need to remain in good academic standing and advance to doctoral candidacy in normative time to degree, and may need to meet other funding conditions of specific fellowships or positions.

In the first year, I School Ph.D. students receive fellowship support to cover all tuition and fees, including Non-Resident Supplemental Tuition and the Student Health Insurance Fee, and a stipend for living expenses. For the academic year 2023–2024, the minimum first-year I School Ph.D. student 12-month stipend is $40,000.

After the first year, Ph.D. students are typically funded through graduate student academic appointments or research positions for up to four years (eight semesters). In addition to an hourly wage, students receive fee remission that offsets a portion or all of their tuition and fees. For more information, see Graduate Student Academic Appointments and Fee Remission .

Some students continue their research positions during the summer. The I School also offers limited summer grant opportunities for Ph.D. students who have no other summer funding sources secured.

After Ph.D. students pass their qualifying exam and advance to doctoral candidacy, the Berkeley Doctoral Completion Fellowship (DCF) provides eligible students with one year (two semesters) of tuition remission and a stipend for living expenses. Students are expected to make every effort to meet DCF eligibility conditions in order to take advantage of this funding opportunity.

The University also awards through competition a limited number of merit- and need-based fellowships each year. See University Fellowships for further details.

Tuition and fees listed reflect currently approved amounts; these figures may not be final. Actual tuition, fees, and charges are subject to change. Students should expect fees to increase moderately each fall term.

* Students may opt out of the UCGPC fee .

** Students have the option to waive the Student Health Insurance Plan (SHIP) if they have other major medical health insurance that meet the SHIP waiver criteria and don't wish to have dual coverage. For waiver qualifications, instructions, forms, and FAQs, please see Waiving SHIP .

*** The Document Management Fee is a one-time fee charged in the first term of enrollment.

For additional information on the cost of attendance, please visit: Financial Aid and Scholarships Office Cost of Attendance .

California residents, for purposes of registration, are those who have been legal residents of California for at least one year immediately before the opening day of the semester for which they register. Legal residence is a combination of physical presence and the intention of making the state one’s permanent home, coupled with the relinquishment of legal residence in any other state.

Eligible Ph.D. students are expected to establish California residency for tuition purposes by their second year of the program.

International students with F-1 visas cannot be classified as California residents for tuition purposes.

More Information:

• Residency (for Tuition Purposes)
• How to Apply for Residency (for Tuition Purposes)
• Residency Requirements: Graduate Students
• Immigration
• Exceptions & Exemptions

Financial Aid

Graduate students may apply for need-based loans and work-study through the Financial Aid Office. The programs are based on demonstrated financial need and require a Free Application for Federal Student Aid (FAFSA). Only U.S. citizens and eligible non-citizens (those holding permanent resident cards) may apply for funds administered by the Financial Aid Office. Financial aid can include work-study, loans, the Native American Opportunity Plan , and other sources of financial aid.

• More information

If you are employed by a U.S. federal, state, local, or tribal government or not-for-profit organization, you may be eligible for the Public Service Loan Forgiveness Program. Learn more  here .

Additional Fellowships

In addition to the first-year fellowship and academic student employment, Ph.D. students may supplement their funding by applying for additional internal and external fellowships. Some university restrictions on combining funding opportunities apply; students are encouraged to consult our admissions staff with questions about specific conjunctions of funding.

Fellowships for I School Students

All admitted Ph.D. applicants will automatically be considered for the Hal Varian endowment .

The I School awards a variety of fellowships to I School students.

List of I School fellowship opportunities

External Fellowships

Students are encouraged to apply for external fellowship opportunities as relevant. Below are several examples of external fellowships that our I School Ph.D. students have successfully obtained:

• Facebook Fellowship
• Fulbright Study/Research Award
• Hertz Fellowship
• Marcus Foster Fellowship
• NSF Graduate Research Fellowship Program
• Peter Lyman Fellowship for New Media
• Soros Fellowships for New Americans
• UC Berkeley Mentored Research Award

Our Ph.D. students have also received grants from the following organizations and centers:

• MIMS Program
• 5th Year MIDS Program
• MIDS Program
• MICS Program
• Graduate Certificates

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From 10 faculty members, 40 students and three fields of study at the time of its founding, UC Berkeley has grown to more than 1,600 faculty, 35,000 students and over 350 degree programs in 130 academic departments and 80 interdisciplinary research units.

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Berkeley offers over 350 degree programs through its academic departments. Search with our A to Z guide.

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Department Highlights

Dr. Laurel Sarfan has been awarded the 2024 ABCT President's New Researcher Award from the Association for Behavioral and Cognitive Therapies . Laurel is an assistant professional researcher in Dr. Allison Harvey's Golden Bear Sleep and Mood Research Clinic in the Psychology Department at UC Berkeley.

Jan has been awarded the 2024  Early Career Award in Developmental Science by the Jean Piaget Society .  Congratulations on winning this very prestigious and well-deserved award!

UC Berkeley Department of Psychology Student Services Director Harumi Quinones has been selected for the Social Sciences Distinguished Service Award for 2024.

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Undergraduate Studies

Studying music at uc berkeley.

Learn more about the Music major, minor, and graduation requirements.

About Our Undergraduate Offerings

The Department of Music grants a Bachelor of Arts (BA) degree in Music and also a minor in Music. The department is dedicated to a liberal education in the Arts and Humanities and introduces students to a wide variety of music practices in performance, music composition and technology, theoretical and creative studies, and historical and cultural studies. The curriculum is responsive to the interests of a diverse student body and offers a broad and flexible program.

The major offers pre-professional training for the student seeking a career in music, and also can provide a lasting source of enrichment for students with other career goals.  A large number of double majors in the department represent such diverse fields as computer science, psychology, molecular and cell biology, physics, economics, English, and business administration, to name a few.

Undergraduate Studies Links

Major requirements, transfer students, minor requirements, honors program, private instruction.

Non-California residents may phone or FAX the Admissions Office: (510) 642-3175 (U.S. citizens) (510) 642-1225 (International students) (510) 642-7333 FAX

Since applicants are admitted to the College of Letters and Science and not to a specific department,  entrance auditions are not part of the admissions process.  Recordings and special talent supplement submissions are not accepted nor considered by the department.

Catalog information is available at  http://guide.berkeley.edu/undergraduate/degree-programs/music/ .

Applicants who have already earned a bachelor’s degree from an accredited university cannot apply for undergraduate admission to the College of Letters and Science. One option is to enter the field of Music at the graduate level. Please review  Music Department Graduate Studies  and email [email protected] if you have any questions.

For guidance on University and College degree requirements, entering students should consult the  College of Letters and Science  for appointments and advice. College advisors are available for online and in-person appointments, and the virtual front desk is a great place to ask quick questions.

Speak to Our Undergraduate Advisor

Advising is available, by appointment only, for general inquiries about programs of study, and the Music major as well as the minor.

    Undergraduate Advisor

    Brenaia Blue:  MusicAdvising at berkeley.edu

Make an appointment for a Zoom, phone, or in-person meeting:  https://calendly.com/ucbmusicadvising

For mentoring in your particular area of interest, please contact any pertinent member of the Department faculty.

Music majors are required to meet with an advisor once per semester. There is a high demand for advising appointments during the enrollment period, so please plan ahead and schedule your advising appointment a few weeks prior to your enrollment appointment.

Major Declaration & Department Forms

Major declaration procedure.

In order to declare the Music Major, prospective students must:

• Review  Music major requirements  and ideally, attend the Undergraduate Orientation at the beginning of each semester.*
• Submit the  Intent to Declare the Music Major (the Music Major Application).
• Draft a digital  program plan . See  the Academic Guide  and  this spreadsheet  for sample transfer and four-year plans.
• Schedule a meeting  with the Undergraduate Major Advisor to finalize your program plan and declare the major.

*An Undergraduate Orientation is held once before the beginning of each semester. The orientation reviews important information such as major requirements, program planning, private lessons, major resources, and student life. It is imperative that prospective music majors make every possible effort to attend.

Major Declaration Timeline:

The Department encourages intended majors to declare as early as possible to be eligible for priority enrollment in Music major classes, private lessons, free practice room access, and other benefits that come with declaring the Music major. Generally, students who were admitted as freshman are expected to declare within a maximum of two years; transfer students are expected to declare by the end of their first semester.

Department Forms

Contract for incomplete grade in music courses, intent to declare the music major  (link to google form), special studies application.

Additional Department Links

Frequently asked questions, performance courses, study abroad, advanced harmony placement exam, meet our undergraduate committee.

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Enjoy an Unforgettable Learning Experience

Dive into real-time pragmatic learning in the classroom with faculty and peers. 

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Participate in uninterrupted training sessions and receive immediate feedback to learn and retain in a fast-paced environment. 

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Learn why diversity & inclusion matter, how to drive impactful change, and research-driven methods to expand equity within your company.

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Understand women's perspectives and strengths in business to improve your problem-solving skills, negotiation tactics, and leadership.

In-Person Experience

Experience a life-changing in-person program at the UC Berkeley campus. Immerse yourself in a stimulating learning environment, guided by esteemed faculty who lead interactive sessions founded on their extensive research. Collaborate with a diverse cohort, expanding your network and gaining new professional connections. Engage in dynamic discussions, experiential exercises, and networking events that enrich your educational journey. Embrace the vibrant campus life, where idea exchange and lasting connections thrive. Elevate your leadership capabilities, acquire practical skills, and depart with a renewed perspective to drive organizational success.

Have questions? We’re always here to help.

Best Online Master’s in Data Science Programs for 2024

Exponential growth in data has translated into a demand for data scientists that outpaces how fast universities can train them. But what are the best options if you’re looking to break into data science and don’t have time for in-person classes? To answer that question, Fortune built our second ranking of online data science graduate programs. This ranking was last updated January 2023.

Berkeley’s Data Science Master’s

Johns Hopkins Engineering for Professionals Online MSE in Data Science

1. University of Southern California

• ACCEPTANCE RATE
• AVERAGE NUMBER OF YEARS OF WORK EXPERIENCE
• COST PER CREDIT
• GRE REQUIRED

2. University of California—Berkeley

3. Bay Path University

Learn Applied Data Science from UNC-Chapel Hill

4. New Jersey Institute of Technology

5. Clemson University

6. Illinois Institute of Technology

7. Oklahoma State University

8. Texas Tech University

Maryville University Master of Science in Data Science | Online

9. University of Missouri—Columbia

10. University of California–Los Angeles

11. DePaul University

12. University of California–Riverside

13. Worcester Polytechnic Institute

Syracuse University MS in Applied Data Science Online

14. Lewis University

15. University of Illinois at Urbana—Champaign

16. CUNY School of Professional Studies

17. University of Michigan–Dearborn

18. Regis University

19. Rice University

20. Eastern University

21. Syracuse University

22. Stevens Institute of Technology

23. pace university.

What is a master’s in data science and what will you learn in an online program?

Pursuing a master’s degree in the fast-growing field of data science can help you to advance your career in a wide variety of tech-related roles. Expect to learn a broad set of skills, including how to use computer programming languages and about applied statistics, database systems, and machine learning. The skills and concepts you learn in a master’s degree program will prepare you for a career in data science to help organizations make strategic decisions based on the data they collect. There’s no significant difference between online and on-campus data science programs—schools typically offer the same courses that are taught by the same professors, regardless of the format. 

General curriculum and skills taught

You can expect a comprehensive curriculum in an online master’s degree program in data science that draws on both statistical and computational methods. Programs will emphasize the real-world application of these knowledge and skills, while offering a multidisciplinary approach to the field that also draws on statistics, computer science, and law. Data science is about more than numbers, however; you will also learn “soft skills” about how to effectively communicate the lessons learned and collaborate with others to learn how to best utilize information in an ethical way . Core coursework at many data science programs covers the following topics:

• Machine learning
• Data mining
• Data visualization
• Cloud computing
• Research design
• Information ethics
• Statistical analysis
• Data engineering

Project-based learning

Beyond the core and advanced-level coursework that are common among all data science programs, some schools also offer mandatory or optional project-based learning opportunities. These projects focus on the real-world application of the skills learned in the program, and can be an opportunity for students to display the skills learned during a program to potential employers. The master’s degree programs at both the University of California-Berkeley and Bay Path University , for example, both include a culminating capstone project that draws upon the skills learned throughout the course of the program. Such projects may extend the length of a master’s degree program, however. 

Specializations and concentrations

While the core coursework required for completing a master’s degree in data science is intentionally comprehensive, many programs offer specializations or concentrations so students can carve out a niche within this field. The University of Illinois at Urbana-Champaign offers advanced coursework in cloud computing and scientific visualization, while Texas Tech University has advanced coursework in multivariate analysis and project management. Concentration options may include:

• Business analytics
• Artificial intelligence

Admissions information

While admissions requirements can vary by school, graduate degree programs require the following of aspiring data scientists :

• Successful completion of a bachelor’s degree, as demonstrated by an official transcript from a college or university
• If you don’t have an undergraduate degree in a data-related field (like computer science), you may need to demonstrate that you have sufficient work and educational experience in fundamental concepts on your résumé
• You may also use your personal statement or essay to highlight your unique characteristics and goal for the program
• Letters of recommendation from supervisors, professors or alumni of the program
• Many top-ranked data science programs no longer require you to submit GMAT or GRE scores, though you may need to if you don’t meet minimum undergraduate GPA requirements
• Some master’s degree programs in data science, like the University of Illinois Urbana-Champaign, may require applicants to complete a data proficiency exam

GMAT, GRE & GPA

A majority of online master’s degree programs in data science have waived GRE or GMAT score requirements and, in fact, only two schools on Fortune’s ranking still require applicants to submit scores as part of that application process. That said, you may submit this information particularly if you want to provide additional supporting information that’s helpful in the admissions process. Moreover, GPA requirements also vary by school and may be waived with sufficient work experience.

Which factors drive acceptance?

While admissions officers strive to take a holistic approach when evaluating candidates, they will be particularly interested in your educational background and work experience in a data-related field. Applicants to some data science programs, like the University of Wisconsin-Madison and the University of Connecticut , must show they’ve completed particular quantitative college-level coursework, while other programs like Syracuse University place a greater emphasis on the personal essay and what applicants emphasize they’re looking for in the program, why they chose it, and what their goals are.

The online master’s in data science experience: What is it like to study online?

Online learning has been growing in popularity in recent years, and students considering a master’s degree program in data science can often choose between an in-person or online option within the same school. Data science programs may offer a mix of both synchronous and asynchronous learning, meaning courses that either need to be attended live at a particular time or at the student’s convenience, and could include some limited in-person elements.

For the most part, students can expect to participate in class discussions via video conferencing or using other technology. And because of the online format, many students who pursue a master’s degree in data science are working while attending school with a goal of either switching careers or advancing their current career in data science.

How to choose the best online master’s degree program in data science for you: Factors to consider beyond rankings

Fortune’s ranking of online master’s degree programs in data science is a good starting place when comparing various programs. We emphasize selectivity (schools with top-notch faculty that attract some of the brightest students) and demand (based on the size of the student body), since the people you meet in graduate school could be transformative to your future career.

That said, prospective students should also consider how a particular program will help you achieve your goals and advance in the field of data science. Other factors that may be important include cost, a school’s prestige, its curriculum, and the years of work experience schools may require of applicants.

Start times, schedule, and program length

As data science programs have grown in popularity, schools have beefed up the number of start dates they offer. The University of Illinois and UC Berkeley, the No. 1 and No. 2 ranked programs, both offer three start dates throughout the year. Students may have some flexibility in choosing their schedule and how long it takes to complete the program of their choice, though two years is common.

As indicated, some data science programs include project-based learning opportunities that focus on the real-world application of skills taught in the program. Because these projects can be useful to show potential employers, career switchers may want to consider prioritizing schools with project-based learning opportunities—even if they could extend the program’s length.

Concentrations

As you think about your career goals post-graduation, you should also consider the concentrations offered by various data science programs. By carving out a specialty within data science, that may make you a more attractive job candidate for some employers—and it could increase your earning potential. People with the title of “data scientist” can earn up to $170,000, while manager-level professionals in the field could fetch salaries of as much as $250,000. 

The cost of a data science program is undoubtedly a factor to consider when applying to school—and tuition varies widely. Students may be able to pay one-year tuition of about $20,000 (or less) at schools like the University of Illinois Urbana-Champaign, Loyola University Maryland, the University of Missouri-Columbia, and CUNY School of Professional Studies. That said, the cost of tuition exceeds $50,000 at UC Berkeley, Syracuse University, and the University of Denver.

Network and access to alumni

The more students a data science program has, the larger its alumni network. This is important to consider during your selection process, not only because your cohort can be a defining characteristic of your grad school experience even if you’re attending classes online. What’s more, the network and a school’s ability to connect you with alumni may help you when looking for jobs—and particularly if you’re not already working in the field.

Years of work experience

Because many data science programs are seeking out applicants who already have relevant work experience, it may be useful to see how your experience compares. What’s more, the amount of work experience will inherently influence how advanced your fellow students are in their careers. Worcester Polytechnic Institute reports that students have an average of 8 years of work experience, while roughly half of the master’s degree students in New York University’s program enroll straight out of undergrad.

Careers for master’s in data science graduates

There’s a hot job market for data scientists thanks to robust demand—and that means many graduates of master’s degree programs are fielding multiple, six-digit salary offers. Big tech companies are a likely career path for many data scientists. A survey of more than 11,000 data scientists found that the companies with the largest teams of data scientists are Microsoft, Facebook, and IBM. And Apple, for example, pays as much as $182,000 for data scientists.

Financing and scholarships

If your goal of obtaining a master’s degree in data science is to advance within your current company, then your employer may help pay for the cost of the program. New York University grants tuition scholarships to some master’s degree students, while UC Berkeley offers several fellowships of varying amounts. 

You may also want to seek out a growing number of scholarship or fellowship opportunities from private organizations. Some examples that are available to master’s degree students include:

• The Association of Computing Machinery (ACM) awards computational and data science fellowships to diverse candidates with a $15,000 annual stipend. 
• Acxiom awards $5,000 scholarships to U.S.-based students from diverse backgrounds who are enrolled full-time in various programs that include data science.
• Although it doesn’t specify the amount, the American Statistical Association (ASA) offers a pride scholarship to students enrolled in a data science graduate program and identify as LGBTQ+ or an ally.

Finally, current members of the military or veterans may want to consider covering the cost of your data science program with Post-9/11 GI Bill benefits or the Yellow Ribbon Program , which can cover any tuition and fees not covered by those benefits.

Frequently Asked Questions

While still relatively new, data science is a field that incorporates preparing and analyzing data to draw conclusions. Data scientists design and build new processes for data modeling by using algorithms, prototypes, predictive models, and custom analysis. People should pursue data science if they’re interested in asking questions and creating algorithms and statistical models to estimate the unknown. 

All of the data in the world is projected to grow to a staggering 181 zettabytes by 2025. And this growth has translated into high demand for data scientists—even outpacing the speed with which colleges and universities can train them. Data scientist ranks No. 3 among the 50 best occupations in the U.S., according to Glassdoor’s list of the best jobs for 2022 , and was beat out only by the roles of enterprise architect and full stack engineer.

Some people may choose to follow a step-by-step guide to become a data scientist. First, you may want to pursue an undergraduate degree that focuses on technical skills like programming or statistics. Then, you should identify an area of specialization and hone this specialization by enrolling in a master’s degree program in data science. Finally, you should showcase your data science experience when applying for jobs.

In addition to high demand, people with a master’s degree in data science can expect to enter a rapidly-growing field with solid salary prospects. Through 2026, the U.S. Bureau of Labor Statistics (BLS) projects data science jobs will grow by 28% per year . Even before graduation, some data science students in master’s degree programs are fielding offers of $125,000 and up .

As with any career, pay prospects can vary by company and role. Data scientists made a median salary of $164,500 in 2020, according to a 2021 survey of engineering professionals by the Institute of Electrical and Electronics Engineers (IEEE).

The median base salary for data scientists is $120,000, according to figures from Glassdoor, though the likely range for positions goes as high as $294,000. Some tech companies are even paying in excess of $300,000 for senior-level data scientist roles.

The sky’s the limit for job opportunities for data scientists, including careers in tech, entertainment, pharmaceuticals, telecom, sports, consulting, or even as a company executive who understands data. What’s more, new job titles are likely to be created, particularly related to ethical concerns with sensitive data and as companies look for new ways to utilize their massive data sets and emerging technologies such as cloud computing, A.I., and machine learning.

In 2012, Harvard Business Review called the role of a data scientist “ the sexiest job of the 21st century .” Ten years later, data science remains a good career field for many people thanks to the wide range of jobs available now and in the future, along with robust demand and six-figure salary prospects.

The class of 2022 from master’s degree programs in data science were fielding job offers, with competitive salaries, months ahead of graduation. Demand for data scientists is growing faster than colleges and universities can train them. Even so, job applicants should still expect a rigorous interview process that often entails showcasing examples of work or a commitment to staying up-to-date in a rapidly changing industry.

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Geographic coordinates (latitude and longitude) define a position on the Earth’s surface. Coordinates are angular units. The canonical form of latitude and longitude representation uses degrees (°), minutes (′), and seconds (″). GPS systems widely use coordinates in degrees and decimal minutes, or in decimal degrees.

Latitude varies from −90° to 90°. The latitude of the Equator is 0°; the latitude of the South Pole is −90°; the latitude of the North Pole is 90°. Positive latitude values correspond to the geographic locations north of the Equator (abbrev. N). Negative latitude values correspond to the geographic locations south of the Equator (abbrev. S).

Longitude is counted from the prime meridian ( IERS Reference Meridian for WGS 84) and varies from −180° to 180°. Positive longitude values correspond to the geographic locations east of the prime meridian (abbrev. E). Negative longitude values correspond to the geographic locations west of the prime meridian (abbrev. W).

UTM or Universal Transverse Mercator coordinate system divides the Earth’s surface into 60 longitudinal zones. The coordinates of a location within each zone are defined as a planar coordinate pair related to the intersection of the equator and the zone’s central meridian, and measured in meters.

Elevation above sea level is a measure of a geographic location’s height. We are using the global digital elevation model GTOPO30 .

Elektrostal , Moscow Oblast, Russia

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Elektrostal

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