In today’s data-driven world, proficiency in data science is in high demand across various industries. A master’s program in data science equips students with advanced skills in statistical analysis, machine learning, data mining, data visualization, data engineering, business analytics, and programming languages like Python and R. Graduates are prepared for roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. Salaries in the data science industry tend to be high, with median pay for a data scientist at $103,500.
Data science master’s degree programs typically span one to two years, depending on enrollment status and program requirements. The average tuition fees vary, but according to the National Center for Education Statistics, master’s degree students can expect to spend around $12,000 to $30,000 per year for their degree.
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How we rank schools
Our list features the best Master’s in Data Science degree programs at top colleges nationwide. Each school featured is a nonprofit, accredited institution — either public or private — with a high standard of academic quality for post-secondary institutions.
We evaluated each school’s program on tuition costs, admission, retention and graduation rates, faculty, reputation, and the student resources provided for online students. We collected data from trusted sources like the National Center for Education Statistics, individual school and program websites, school admissions counselors, and other data sources. Then, we calculated the Intelligent Score on a scale of 0 to 100 based on the following criterion:
Academic Quality:
- Admission rate versus enrollment rate
- Retention rate of students who return after year one
- Accreditation status (regional and programmatic)
- Nonprofit status, both private and public institutions
Graduation Rate
- Overall graduation rate
- Total number of currently enrolled students, including diversity metrics
- Student-to-faculty ratio
Cost and ROI
- In-state and out-of-state per-credit tuition rates and fees
- Required credits to graduate
- Earning potential after graduation
- Availability of federal student loans, scholarships, and other financial aid options
Student Resources
- Available student services for online-only and hybrid programs
- On-campus amenities like tutoring centers and the number of libraries
Read more about our ranking methodology.
Best 42 Accredited Master’s in Data Science Degree Programs
FiltersInstitution Type
Status
- Intelligent Score
- Alphabetically By University Name
- Acceptance Rate
- Enrollment
- In-state Graduate Tuition
- Out-of-state Graduate Tuition
- In-state Undergraduate Tuition
- Out-of-state Undergraduate Tuition
Indiana University - Bloomington
Intelligent Score: 99.46In-state: $9,815
Out-of-state: $36,194
In-state: $9,786
Out-of-state: $9,786
SAT: 1120-1350
ACT: 24-31
Indiana University's low tuition rate - $485/credit for state residents - makes it a solid and affordable choice for those studying data science. Students complete 30 graduate-level credit hours, choosing from four learning tracks: applied data science, computational and analytical, big data systems, and managerial data science. There is also coursework in foundational core areas, including programming, statistics, data analytics, and more, to increase the marketability of graduates in the industry. The program focuses on hands-on learning, research projects, interdisciplinary collaboration, and internships. As an interdisciplinary applied program, international students are STEM eligible. Data science students attend classes in person, and residential facilities are available for those wishing to live on campus.
Resident: $490
Non-Resident: $813
On-Campus, Online
Higher Learning Commission
30
Colorado State University
Intelligent Score: 99.09In-state: $9,426
Out-of-state: $28,147
In-state: $10,520
Out-of-state: $10,520
SAT: 1070-1280
ACT: 23-29
$835
On-Campus
Higher Learning Commission
30
North Carolina State University
Intelligent Score: 98.85In-state: $6,535
Out-of-state: $26,654
In-state: $9,095
Out-of-state: $9,095
SAT: 1230-1410
ACT: 27-32
NC State's well-regarded master's track in data science gives students the skills to identify standard, novel, and differentiated solutions, teaching them to manage, query, analyze, visualize, and extract meaning from large data sets. Students take a total of 18 hours of data science core courses and electives, 12 credits in computer science, and a one-credit orientation course. NC State's Department of Computer Science is one of the oldest degree-granting programs in this field in the nation. Students benefit from excellent research facilities at the school's Centennial Campus and in the Research Triangle. The computer science faculty includes 31 recipients of the National Science Foundation CAREER Awards, given to outstanding young faculty, 12 members of the NC State Academy of Outstanding Teachers, 10 IEEE Fellows, 2 ACM Fellows, a member of the National Academy of Engineering, and a member of the National Inventors Hall of Fame.
Resident: $525
Non-Resident:$1,635
On-Campus
Southern Association of Colleges and Schools Commission on Colleges
31
DePaul University
Intelligent Score: 98.16In-state: $40,551
Out-of-state: $40,551
In-state: $19,370
Out-of-state: $19,370
SAT: N/A
ACT: N/A
DePaul's master's program in data science provides students with technical knowledge and advanced computational skills to handle big data analytics. The program can be taken on-campus or online, and online students have complete access to software, faculty advisors, and other university aids. Those taking the program in person will have access to 30 specialized labs on campus, including research labs with advanced technology, software, and experimental tools. There are four concentrations: computational methods, health care, marketing, and hospitality, all geared toward training professionals in these growing fields. DePaul's Center for Data Science fosters collaborations with industry and nonprofits. The DePaul Data Science Group connects students to industry professionals, alums, and faculty through workshops, panel discussions, skill training, and hackathons. Applicants can enroll for fall, winter, spring, or summer quarters.
$946
On-Campus
Higher Learning Commission
48
Cornell University
Intelligent Score: 97.95In-state: $58,586
Out-of-state: $58,586
In-state: $29,500
Out-of-state: $29,500
SAT: 1400-1540
ACT: 32-35
Cornell offers a Master of Professional Studies (M.P.S.) degree in applied statistics, which prepares students for fields where modern data analysis skills are required. There are two tracks: statistical analysis, and data science, which puts more emphasis on topics in computer science such as high-performance computing, databases, middleware, and scripting. Students participate in required core courses, an in-depth statistical analysis project, and other required and elective coursework selected from offerings in both the Department of Statistics and Data Science and other university departments. The program is designed to be completed in two semesters. Students apply to begin the program in the fall, with an application deadline of February 1. This program qualifies as a STEM program for international students, making them eligible for 36 months of optional practical training (OPT) if requirements are met.
$2,173
On-Campus
Middle States Commission on Higher Education
30
Carnegie Mellon University
Intelligent Score: 97.27In-state: $57,560
Out-of-state: $57,560
In-state: $46,441
Out-of-state: $46,441
SAT: 1460-1560
ACT: 33-35
CMU's M.S. in data analytics for science is designed as a full-time, one-year program beginning in the fall semester, with a rigorous set of courses in applied linear algebra, programming, machine learning, statistical methods, and neural networks. The Mellon College of Science offers courses in conjunction with the Pittsburgh Supercomputing Center, a world leader in high-performance computing and data analytics. The program culminates in a semester-long capstone project where students work with industry partners to gain a hands-on, concrete understanding of how to impact scientific discovery through applied data analytics skills. Elective courses include Fundamentals of Bioinformatics, Computational Genomics, Digital Molecular Design Studio, and Methods of Statistical Learning.
$504
On-Campus
Middle States Commission on Higher Education
48
University of Oklahoma
Intelligent Score: 97.17In-state: $4,788
Out-of-state: $20,169
In-state: $6,943
Out-of-state: $6,943
SAT: 1100-1300
ACT: 23-29
UO's Data Science and Analytics Institute offers certificate, master's, and doctoral-level programs in data science and analytics, with the option to take classes on-site at the Norman campus, online, or in a combination of both. Students may apply to begin the program in spring, summer, or fall and can complete it in as little as 14 months if attending full-time. Prerequisites for the program include calculus I and II, linear algebra, and a year of high language programming. There are 20 credits of required courses, including computing structures, database management systems, and intelligent data analytics. These are followed by nine credit hours of electives and four credits of professional practice, or you can choose a thesis option, which gives you three credits for electives and six for research.
$370
On-Campus
Higher Learning Commission
30-33
University of Central Florida
Intelligent Score: 97.1In-state: $4,478
Out-of-state: $19,810
In-state: $6,916
Out-of-state: $6,916
SAT: 1160-1340
ACT: 25-30
$1,210
On-Campus
Southern Association of Colleges and Schools Commission on Colleges
30
Columbia University in the City of New York
Intelligent Score: 96.41In-state: $57,864
Out-of-state: $57,864
In-state: $49,024
Out-of-state: $49,024
SAT: 1460-1570
ACT: 33-35
$1,970
On-Campus
Middle States Commission on Higher Education
30
University of Virginia
Intelligent Score: 95.64In-state: $15,772
Out-of-state: $49,819
In-state: $17,076
Out-of-state: $17,076
SAT: 1320-1510
ACT: 30-34
UV's residential M.S. in data science takes just under a year and includes 32 credit hours. It covers topics such as natural language processing, machine learning, text analytics, and deep learning. Classes are held at the school's Charlottesville campus, starting in the summer and running for 11 months. UV also offers a 20-month, part-time online version of this program for working professionals who need flexible classes. The residential program features a rich cohort experience that fosters collaboration and network-building, with an integrated curriculum that focuses on hands-on learning. Students take a core set of interdisciplinary courses with two electives included. Large data sets are used between courses, and students work consistently in teams throughout, including a team capstone project that connects them with corporate and government partners.
$1,121
On-Campus
Southern Association of Colleges and Schools Commission on Colleges
32
NYU CDS
Intelligent Score: 94.73In-state: $52,204
Out-of-state: $52,204
In-state: $34,704
Out-of-state: $34,704
SAT: 1370-1540
ACT: 31-34
$2,101
On-Campus
Middle States Commission on Higher Education
36
University of Rochester
Intelligent Score: 94.64In-state: $57,188
Out-of-state: $57,188
In-state: $49,792
Out-of-state: $49,792
SAT: 1330-1510
ACT: 30-34
$1,970
On-Campus
Middle States Commission on Higher Education
30
University of Colorado Boulder
Intelligent Score: 93.88In-state: $33,466
Out-of-state: $60,716
In-state: $59,883
Out-of-state: $59,883
SAT: 1160-1390
ACT: 26-32
Resident: $1,192
Non-Resident: $1,532
On-Campus, Online
Higher Learning Commission
30
University of Michigan
Intelligent Score: 93.14In-state: $16,520
Out-of-state: $53,669
In-state: $24,344
Out-of-state: $24,344
SAT: 1340-1520
ACT: 31-34
Resident: $1,862
Non-Resident: $3,391
On-Campus
Higher Learning Commission
30-35
University of Washington
Intelligent Score: 92.1In-state: $10,629
Out-of-state: $37,998
In-state: $16,278
Out-of-state: $16,278
SAT: 1200-1453
ACT: 27-33
$1,085
On-Campus
Northwest Commission on Colleges and Universities
45
University of Massachusetts - Dartmouth
Intelligent Score: 91.56In-state: $15,791
Out-of-state: $35,779
In-state: $14,014
Out-of-state: $14,014
SAT: 1200-1390
ACT: 27-32
Resident: $682
Non-Resident: $1,232
On-Campus
New England Association of Schools and Colleges
30
Harvard University
Intelligent Score: 91.55In-state: $49,653
Out-of-state: $49,653
In-state: $49,448
Out-of-state: $49,448
SAT: 1460-1580
ACT: 33-35
$1,930
On-Campus
New England Commission of Higher Education
48
Northeastern University
Intelligent Score: 88.85In-state: $54,360
Out-of-state: $54,360
In-state: $25,264
Out-of-state: $25,264
SAT: 1410-1540
ACT: 33-35
$1,794
On-Campus
New England Commission of Higher Education
32
How to Choose a Master’s in Data Science Degree Program
Choose your area of study
Selecting the right area of study is crucial as it determines the specific data science skills and knowledge you’ll acquire. Consider factors such as your career goals, interests, and strengths when choosing between specializations like machine learning, data engineering, data visualization, business analytics, or artificial intelligence. Research the curriculum and faculty expertise within each specialization to ensure it aligns with your aspirations. Setting clear goals and expectations for your area of study will help you make informed decisions throughout and prepare you for a successful career in the data science industry.
Research schools and programs
Thoroughly researching data science programs is essential to find the best fit for your educational and career goals. Look for accredited institutions with strong reputations in data science education. You can determine if your chosen data science program is accredited by reviewing the list of institutions on the Council for Higher Education Accreditation website. Evaluate factors such as program curriculum, faculty expertise, research opportunities, and industry connections. Utilize resources like school websites, rankings, and student testimonials to gather comprehensive information about each data science program. Engage with admissions counselors, attend information sessions, and explore campus or virtual tours to gain insights into the program’s culture and resources.
Prepare for tests and applications
Gather required materials such as transcripts, letters of recommendation, and standardized test scores (such as the GRE). Invest time in crafting a compelling personal statement or statement of purpose that highlights your academic achievements, professional experience, and motivation for pursuing data science. Consider enrolling in test preparation courses to enhance your standardized test scores and increase your chances of admission. Stay organized and ensure all application materials are submitted before the deadline to present yourself as a strong candidate for admission.
Select your program
Choosing the right data science master’s degree program requires careful consideration of various factors. Review program offerings, faculty expertise, and research opportunities to ensure they align with your academic and career goals. Evaluate logistical factors such as program format (online or in-person), enrollment status (full-time or part-time), and class structure (synchronous or asynchronous) to determine the best fit for your needs and preferences. Compare tuition costs, financial aid options, and available resources to make an informed decision. By selecting the right data science master’s program, you can maximize your learning experience and position yourself for success.
Determine how you’ll pay for your degree
Complete the Free Application for Federal Student Aid (FAFSA) to access federal aid and need-based assistance. Investigate scholarship opportunities, grants, and employer tuition reimbursement programs to help offset tuition costs. Consider part-time employment or online work opportunities to supplement your income while pursuing your data science degree. Additionally, explore payment plans and loan options to cover remaining expenses. By carefully planning and exploring financial resources, you can make pursuing your master’s in data science financially feasible and minimize the burden of student debt.
What Can You Expect From a Master’s in Data Science Degree Program?
In a master’s degree program in data science, prospective students can expect a rigorous curriculum designed to develop advanced data science skills in machine learning, programming, data analysis, data engineering, and statistical modeling. Data science courses typically cover topics such as data visualization, predictive modeling, data management, and big data analytics. Students learn to apply various analytical techniques to extract insights from complex datasets and make data-driven decisions.
The program duration typically ranges from one and a half to two years, depending on enrollment status and program requirements. Some data science programs may include practical components such as in-person labs, internships, or capstone projects to provide hands-on experience and real-world application of learned concepts.
In addition, students may have opportunities to collaborate with industry partners or participate in research projects to further enhance their skills and data science expertise. Graduates emerge prepared for diverse roles in data science, with the ability to address complex analytical challenges and drive innovation in their respective fields.
Potential courses you’ll take in a master’s in data science degree program
- Data Mining and Machine Learning. Introduces data science students to algorithms and techniques for extracting valuable insights from large datasets. Topics include classification, clustering, regression, and neural networks, with an emphasis on practical applications in areas such as predictive modeling and pattern recognition.
- Statistical Analysis and Data Visualization. Covers advanced statistical methods and tools for analyzing data and communicating findings effectively. Students learn techniques for exploratory data analysis, hypothesis testing, and regression analysis, as well as visualization techniques using tools like R, Python, and Tableau to present data insights visually.
- Big Data Analytics. Explores strategies and technologies for processing and analyzing large-scale datasets. Topics include distributed computing frameworks like Hadoop and Spark, data preprocessing techniques, and scalable machine learning algorithms for handling big data challenges in real-world applications.
- Database Management and SQL. Provides data science students with a comprehensive understanding of database management systems and SQL programming. Students learn to design, implement, and query relational databases, as well as perform data manipulation and optimization tasks to support data-driven decision-making processes.
- Applied Data Science Capstone. Students work on a hands-on project or research study to apply their skills and knowledge to real-world problems in data science. Working in teams or individually, students identify a problem, collect and analyze relevant data, and present their findings and recommendations to stakeholders. This course allows students to demonstrate their proficiency in data science and gain practical experience in solving complex analytical challenges.
Master’s in Data Science Degree Frequently Asked Questions
How do I apply to a master's in data science degree program?
To apply, review the specific admission requirements outlined by each program, which typically include submitting transcripts, letters of recommendation, a resume or curriculum vitae (CV), and a statement of purpose outlining your motivations and goals. Some programs may also require standardized test scores, such as the GRE. Ensure that all application materials are submitted by the stated deadlines. It’s essential to communicate with admissions counselors to clarify any questions and ensure a complete and competitive application.
How much does a master's in data science degree cost?
The cost of a master’s degree in data science varies depending on factors such as the institution, program format (online or on-campus), and residency status. On average, tuition for a master’s in data science ranges from $12,000 to $30,000, based on information collected by the National Center for Education Statistics. However, additional expenses such as textbooks, technology fees, and living expenses should also be considered. It’s essential to research and compare tuition rates across different institutions and consider financial aid options, scholarships, and employer tuition reimbursement programs to help offset the cost of tuition.
How long does it take to earn a master's in data science degree?
The length of time to complete a master’s degree in data science typically ranges from one to two years for full-time students. Part-time students may take longer, typically around two to three years, depending on their course load and program structure. Online programs often offer flexibility, allowing students to pace their studies according to their schedule, which may affect the overall completion time. Additionally, the number of required credits and any prerequisite courses can impact program length.