Explore 20+ schools with data science master’s programs
Data science is a rapidly-evolving and expanding field, from the explosion of complex chatbots like ChatGPT to more accurate predictive modeling that drives decisions. Businesses will need data science experts: Employment of data scientists is projected to grow 35% between 2022 and 2032 — much faster than the average for all occupations — according to the U.S. Bureau of Labor Statistics (BLS).
If you are looking to pivot towards a new career, or dive deeper into your expertise, a master’s degree in data science could be a good fit for you.
Universities are responding to demand; the number of master’s in data science degrees awarded increased 655% from 2020 to 2022, according to Amstatnews. To help you navigate this growing landscape, we’ve compiled a selection of data science graduate programs below.
Unlock your potential with a sponsored data science degree
The program cards/tables featured on this page were last updated in July 2022. For the most current program information, please refer to the official website of the respective school.
The University of North Carolina at Chapel Hill
Master of Applied Data Science
UNC-Chapel Hill’s online Master of Applied Data Science program gives you a holistic understanding of the data life cycle, preparing you to effectively — and ethically — collect, process, manage and analyze data. Learn to translate your insights into a clear narrative that can be used to drive action. Math and programming skills required.
- Complete in as few as 16 months full time.
- No GRE scores required.
University of Birmingham
Master of Science Applications of Data Science
With University of Birmingham’s online MSc Applications of Data Science, you will learn the essential programming and data management skills necessary for a successful career in data science. You will study topics online with academic experts, from artificial intelligence and statistical modeling to ethical data collection and legal frameworks.
- Complete the programme in three years, part time.
- No application fees or standardised test scores required.
- Built around the United Nations’ sustainability goals, the programme is designed to equip students with the data science skills to analyse, provide critical insight, and communicate conclusions to drive action.
Lancaster University
MSc Data Science
Earn your online MSc Data Science from a globally-recognised university for data science and artificial intelligence. Master in-demand skills that employers value most – AI, Natural Language Processing (NLP), Python, and technologies such as Hadoop, Spark and PyTorch. Whether you’re upskilling existing computer science skills or pivoting into a new career, you’ll emerge ready to transform raw data into actionable strategies that drive growth in today’s data-driven economy.
- 15 hours per week total
- Complete your degree in 28 months, part time
- Learn in a holistic curriculum: Academics from the Data Science Institute, School of Computing and Communications, School of Mathematical Sciences, and the Security Lancaster institute collaborate to deliver coursework that reflects the interconnected nature of data science.
Hawaii Pacific University
Master of Science in Cybersecurity
The online Master of Science in Cybersecurity program from Hawai‘i Pacific University prepares students to defend their organization from cyberattacks and advance their career as responsible leaders in cybersecurity. Students gain foundational skills in computer security, network security, and information security, and prepare for crucial certification exams.
- 12 months to complete full time and 24 months part time
- Standardized test scores not required (No GRE/GMAT)
- Prerequisite courses not required
- Three start dates per year in January, May, and August
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Choosing the best master’s in data science program for you
When selecting the best data science degree for you, there are some factors to consider to ensure that the program meets your career aspirations and equips you with the knowledge and expertise needed to succeed.
- Curriculum: Data scientists use various methods, including machine learning, data analysis, and big data management. Try finding a data science graduate program that provides comprehensive coverage of these topics.
- Faculty and staff: Learning from experts in the data science field can support your data science education through mentorships, guidance, and the applicability of the curriculum.
- Flexibility: Data science degree programs may be offered full-time, part-time, online, and on-campus. With these learning opportunities, be sure your ideal program has options best suited for your goals.
- Real-world capstone project: Many master’s in data science programs have a real-world application project at the conclusion of your degree, allowing for opportunities to apply learned skills to real problems.
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The programs below include some of the following components:
- Machine learning courses
- Databases courses
- Capstone requirements
- Student organization or association for data science students
- Career resources for data science students
- Programs offering related coursework
List of master’s in data science programs
University of California, Berkeley
School of Information
Master of Information and Data Science
Berkeley, California
Designed for data science professionals, the UC Berkeley School of Information’s Master of Information and Data Science (MIDS) prepares students to derive insights from real-world data sets, using the latest tools and analytical methods to interpret and communicate their findings in ways that influence decision-making. The MIDS program features a rigorous, multidisciplinary curriculum focused on problem solving, preparing students to creatively apply methods of data collection, analysis, and presentation to address and solve problems in areas of human interest, government, and business.
Enrollment Type: Full-Time and Part-Time
Length of Program: As few as 12 months
Credits: 27
The University of North Carolina at Chapel Hill
Master of Applied Data Science
Chapel Hill, NC
UNC-Chapel Hill’s online Master of Applied Data Science program gives you a holistic understanding of the data life cycle, preparing you to effectively — and ethically — collect, process, manage and analyze data. Learn to translate your insights into a clear narrative that can be used to drive action. Math and programming skills required.
Enrollment Type: Full-Time and Part-Time
Length of Program: As few as 16 months
Credits: 30
University of Birmingham
Master of Science Applications of Data Science
Birmingham, UK
With University of Birmingham’s online MSc Applications of Data Science, you will learn the essential programming and data management skills necessary for a successful career in data science. You will study topics online with academic experts, from artificial intelligence and statistical modeling to ethical data collection and legal frameworks.
Enrollment Type: Part-Time
Length of Program: 36 months
Credits: 180
Admission Requirements:
To be considered for admission into the online MSc Applications of Data Science, applicants typically should have earned a minimum of an Upper Second Class Honours (2:1) UK undergraduate degree or recognised equivalent international qualification in a STEMM+ discipline. The programme is not designed for recent graduates of Computer Science but could be taken by those returning to study. This programme is specifically designed for those from a numerate discipline. However, applicants from other disciplines who have been working in a related sector involving programming and numerate skills will also be considered.
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Lancaster University
School of Computing and Communications
MSc Data Science
Earn your online MSc Data Science from a globally-recognised university for data science and artificial intelligence. Master in-demand skills that employers value most – AI, Natural Language Processing (NLP), Python, and technologies such as Hadoop, Spark and PyTorch. Whether you’re upskilling existing computer science skills or pivoting into a new career, you’ll emerge ready to transform raw data into actionable strategies that drive growth in today’s data-driven economy.
Enrollment Type: Part-Time
Length of Program: 28 Months
Credits: 180
Hawaii Pacific University
College of Natural and Health Sciences
Master of Science in Data Science
Honolulu, Hawaii
The online MS in Data Science program from Hawai‘i Pacific University prepares students to interpret both conventional and unconventional data, strengthen creative problem-solving skills, and apply cutting-edge data analysis expertise to nearly every industry.
Enrollment Type: Full-Time and Part-Time
Length of Program: 12-24 months
Credits: 36
Admission Requirements:
Applicants to Hawai‘i Pacific University’s MS in Data Science program must have earned a bachelor’s from a regionally accredited institution, and an undergraduate GPA of at least 3.0 in the last 60 credits is strongly preferred. Applicants with a bachelor’s degree in math, computer science, engineering, business, social science, natural sciences — or another discipline that requires quantitative skills — are strongly preferred. However, applicants from all education and professional backgrounds are welcome to apply.
Application requirements:
- Online application
- Transcripts: Transcripts must be submitted from all postsecondary institutions. Unofficial transcripts can be submitted for application review. Official transcripts must be submitted by the time you register for your second term.
- Résumé
- Letters of recommendation (optional)
- Essay (optional)
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Syracuse University
School of Information Studies
Master of Science in Applied Data Science
Syracuse, New York
The online Master of Science in Applied Data Science at Syracuse University is an interdisciplinary program offered by the School of Information Studies and the Martin J. Whitman School of Management. The curriculum requires 36 credits, including electives that allow candidates to develop deep knowledge in their area of specialty. Students must compile a portfolio of projects to submit for faculty review. Online course content focuses on collaboration and includes face-to-face classes, project-based work, and 24/7 access to materials. Applicants must have a bachelor’s degree and must submit transcripts, a personal statement, resume, and two recommendations. No GRE Scores Required.
Enrollment Type: Full-Time and Part-Time
Length of Program: Complete in as few as 18 months
Credits: 34
Southern Methodist University
Dedman College of Humanities and Sciences, Lyle School of Engineering and Meadows School of the Arts
Master of Science in Data Science
Dallas, Texas
DataScience@SMU is an online Master of Science in Data Science program that prepares students with the fundamental skills needed to be sought-after data science leaders in a variety of industries. Our students learn from cross-disciplinary SMU faculty in online classrooms with a small student-to-professor ratio. DataScience@SMU students gain highly in-demand skills in working with unstructured data, big data processing, statistical analysis, text mining, machine learning, and business analytics.
Enrollment Type: Full-Time and Part-Time
Length of Program: Complete in as few as 20 months
Credits: 33.5
Bay Path University
Master of Science in Data Science
Longmeadow, Massachusetts
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Recommended 3.0 GPA or above
- Two letters of recommendation
- Resume or CV
- Personal statement
Cabrini University
Master of Science in Data Science
Radnor, Pennsylvania
Name of Degree: Master of Science in Data Science
Enrollment Type: Part-Time
Length of Program: 2 years
Credits: 36
Concentrations: N/AAdmission Requirements:
- Undergraduate degree
- 2.75 GPA
- Undergraduate degree in computer science or related field OR coursework in object-oriented programming & database management systems
- Previous coursework in Statistics and college-level math required
- Personal statement
- Two letters of recommendation
- Resume or CV
Carnegie Mellon University
School of Computer Science
Master of Computational Data Science
Pittsburgh, Pennsylvania
Name of Degree: Master of Computational Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1.3+ years
Credits: 144
Concentrations:Systems, Analytics, Human-Centered Data Science
Admission Requirements:
- Bachelor’s degree
- 3.0 GPA
- GRE scores required
- Unofficial transcripts
- Statement of purpose
- Resume or CV
- Three letters of recommendation
Columbia University
Data Science Institute
Master of Science in Data Science
New York, New York
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: 1+ years
Credits: 30
Concentrations: N/AAdmission Requirements:
- Undergraduate degree
- Prior quantitative coursework (calculus, linear algebra, etc.)
- Prior introductory computer programming coursework
- Personal statement
- Uploaded transcripts from every post-secondary institution attended
- Three letters of recommendation
- CV or Resume
Cornell University
Master of Professional Studies in Applied Statistics
Ithaca, New York
Name of Degree: Master of Professional Studies in Applied Statistics
Enrollment Type: Full-Time and Part-Time
Length of Program: 1.5+ years
Credits: 30
Concentrations: N/AAdmission Requirements:
- Undergraduate degree
- Unofficial/Official transcripts
- Resume or CV
- 3.0 GPA
- GRE Scores
- Statement of purpose
- Three letters of recommendation
- TOEFL/IELTS Score for International Students
- Prerequisite courses
Drexel University
Master of Science in Data Science
Philadelphia, Pennsylvania
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 45
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Minimum GPA 3.0
- Official transcripts
- One letter of recommendation
- Essay/statement of purpose
- Resume
Duke University
Social Science Research Institute
Master of Interdisciplinary Data Science
Durham, North Carolina
Name of Degree: Master of Interdisciplinary Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 42
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Transcripts
- Three letters of recommendation
- Statement of purpose
- Resume
- English language proficiency test scores (if English is not your first language)
- Personal Essay
- Submit a 2-minute video in which you describe the problem you are most excited to solve using data science
Harvard University
John A. Paulson School of Engineering and Applied Sciences
Master of Science in Data Science
Cambridge, Massachusetts
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: 1.5+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Transcripts
- Three letters of recommendation
- Statement of purpose
- Resume
- English language proficiency test scores (if English is not your first language)
- Complete Supplemental Data Form
Illinois Institute of Technology
College of Computing
Master of Data Science
Chicago, Illinois
Name of Degree: Master of Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 33
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Minimum GPA 3.0
- Official transcripts
- GRE scores
- One letter of recommendation
- Essay/statement of purpose
- Resume
- Completion of prerequisite coursework
Indiana University
Luddy School of Informatics, Computing, and Engineering
Master of Science in Data Science
Bloomington, Indiana
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 30
Concentrations:Data analytics and visualization, Intelligent systems engineering, Cybersecurity
Admission Requirements:
- Bachelor’s degree
- 3.0 GPA
- Prior mathematical knowledge, object-oriented programming knowledge, communication and critical thinking skills
- CV or Resume
- Personal statement
- Contact information for one professional and/or academic recommendation
Northeastern University
Khoury College of Computer Science
Master of Science in Data Science
Boston, Massachusetts
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 32
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Unofficial transcripts
- Statement of purpose
- CV or Resume
- Three letters of recommendation
- Completion of prerequisite courses or placement exams
University of California – Santa Barbara
Master of Arts in Statistics – Data Science Track
Santa Barbara, California
Name of Degree: Master of Arts in Statistics – Data Science Track
Enrollment Type: Full-Time and Part-Time
Length of Program: N/A
Credits: 42
Concentrations: N/AAdmission Requirements:
- Undergraduate degree
- 3.0 GPA
- Unofficial/Official transcripts
- TOEFL/IELTS Score for International Students
- “B” or better in previously completed statistics courses
University of California San Diego
Jacobs School of Engineering
Master of Advanced Study in Data Science and Engineering
San Diego, California
Name of Degree: Master of Advanced Study in Data Science and Engineering
Enrollment Type: Part-Time
Length of Program: 2 years
Credits: 38
Concentrations: N/AAdmission Requirements:
- Undergraduate degree in Engineering, Math, Physics, or other Science field preferred
- A minimum 3.0 GPA
- Two years of relevant work experience or equivalent post Bachelor’s degree required
- Resume or CV
- Statement of purpose
- Letters of Recommendation: minimum of two required, three recommended
University of Michigan
College of Literature, Science and Arts
Master of Science in Data Science
Ann Arbor, Michigan
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2 years
Credits: 25+
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- Official transcripts
- Statement of purpose
- Personal statement
- Resume or CV
- Completion of prerequisite courses
University of Missouri
Master of Science in Data Science and Analytics
Columbia, Missouri
Name of Degree: Master of Science in Data Science and Analytics
Enrollment Type: Full-Time and Part-Time
Length of Program: 2 years
Credits: 34
Concentrations:Geospatial, BioHealth Analytics, High Performance Computing, Human-Centered Science Design, Data Journalism/Strategic Communication
Admission Requirements:
- Bachelor’s degree
- Unofficial transcripts
- Resume
- Personal Statement
University of Virginia
School of Data Science
Master of Science in Data Science
Charlottesville, Virginia
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: Less than 1 year
Credits: 32
Concentrations: N/AAdmission Requirements:
- Bachelor’s Degree
- Unofficial transcripts
- Completion of prerequisite courses
- Statement of purpose
- Two letters of recommendation
- Resume or CV
University of Wisconsin
Master of Science in Data Science
Madison, Wisconsin
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
- Bachelor’s degree
- 3.0 GPA
- Completion of prerequisite courses
- Two letters of recommendation
- Resume or CV
- Personal statement
Questions to consider in choosing the best data science program for you
Can you work a data science degree into your schedule?
Although plenty of universities offer a blend of evening, weekend, and online classes, some of the programs mentioned here still require you to be present on-campus to complete your data science master’s degree. There are many hybrid and online master’s in data science programs to consider.
Are there internships or real-world practicums available for data science students?
Having field experience can be a valuable investment for your career. Look for data science programs that connect you to different industries and offer a variety of mentorship opportunities and numerous networking events.
Will a data science degree help to start my career?
When considering a data science degree program, it’s important to evaluate its effectiveness in preparing students for the job market. You could contact the university’s data science program about the percentage of graduates who have received employment offers or promotions in data science or related fields.
There are many other degrees related to data science you may want to consider:
Benefits of earning a data science degree
- Versatility and flexibility: With a data science degree, you can work in a wide range of industries, including healthcare, finance, retail, technology, and government. Data scientists are employed in a variety of sectors, offering you the flexibility to choose a STEM career path that aligns with your interests and passions.
- Develop valuable skills: A data science degree equips you with a diverse set of skills, including machine learning, data analysis, programming, and statistical modeling.
- Make an impact: Data scientists play a role in solving complex problems and driving innovation across multiple domains. By earning a data science degree, you can help develop new technologies and help shape the future.
- Networking opportunities: Pursuing a data science degree provides you with the chance to connect with like-minded professionals, industry experts, and potential employers. These connections can lead to job opportunities, collaborations, and lasting professional relationships.
- Lifelong learning: New techniques, tools, and technologies emerge regularly. Earning a data science degree can instill a love for lifelong learning and provide you with the foundation to stay ahead of the curve in this dynamic field.
FAQs
How can I find the best data science master’s programs?
When searching for the best data science master’s programs, you might want to consider factors such as curriculum comprehensiveness, faculty expertise, program reputation, alumni success, and the balance between theoretical knowledge and hands-on experience. These programs provide a strong foundation in data analysis, machine learning, data visualization, and other essential data science skills.
What skills will I learn once I complete a data science degree?
In a data science degree program, you learn data science skills such as data analysis, data mining, machine learning methods, statistical modeling, data management, and data ethics. These skills can help prepare you to become a data scientist capable of handling complex data-driven tasks across various industries.
How do data scientists use machine learning in their work?
Data scientists use machine learning to develop algorithms that enable computers to learn from data and improve their performance over time. By employing machine learning methods, data scientists can make predictions, identify patterns, and automate decision-making processes based on vast amounts of data.
Can I specialize in a specific area, such as machine learning, while earning a data science degree?
Yes, many data science graduate programs offer specialization options, such as machine learning, which allow you to focus on a specific area of interest and develop advanced expertise. This can be advantageous in preparing you for specialized roles within the data science field.
What is the role of data mining in a data science degree?
Data mining is a useful aspect of a data science degree, as it involves extracting information from large datasets. Students learn various data mining techniques to discover hidden patterns, correlations, and trends, which can be used to make data-driven decisions and predictions.
How is statistical modeling used in data science?
Statistical modeling is a key component of data science, as it helps data scientists create mathematical representations of real-world processes. By employing statistical modeling techniques, a data scientist can analyze and interpret data, make predictions, and identify relationships between variables.
Is a master’s in data science worth it?
Whether or not a masters degree in data science is worth it will depend on your specific goals and circumstances. A master’s degree can be a significant time and financial commitment, but it is also an opportunity to learn everything from technical skills to the theory and mathematics behind them. They also provide a highly structured, expert-led learning experience.
Some people may find that they would benefit more from a shorter, specialized program such as a short course or boot camp. It is also important to consider your potential earnings and the cost of the program. Ultimately, it will require careful and honest consideration about the gaps between what you know and what you don’t, how you learn best, and the resources you are able to devote to the experience.
Last updated August 2024.