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Online degree programs from top Data Science schools

  • University of Michigan
    Master of Applied Data Science

    University of Michigan

    University Ranking

    #1 graduate program in Information Systems (Library and Information Schools), U.S. News & World Report (2017)


    An applied, skills-based program in data science developed by world-class faculty at the top-ranked University of Michigan School of Information

    This program is for

    Learners from a broad range of backgrounds including those from the sciences, social sciences, or professional schools.

    Admissions Requirements
    • Bachelor’s degree w/3.0 GPA
    • No GRE required
    • Your full application will be reviewed by the friendly admissions staff at the University of Michigan School of Information
    Application Information

    Next application deadline is June 1st, 2019

    Degree courses & Specializations you can start right now
  • University of Illinois at Urbana-Champaign
    Master in Computer Science

    University of Illinois at Urbana-Champaign

    University Ranking

    #5 ranked CS program in the U.S., U.S. News & World Report (2018)


    A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

    This program is for

    Professionals who want to use big data to understand the world, discover new insights, and optimize their decision-making.

    Admissions Requirements
    • Bachelor’s degree w/3.0 GPA or higher in last 2 years
    • Some background in computer programming, data structures, and algorithms
    Application Information

    Next application deadline is October 15th, 2019

    Degree courses & Specializations you can start right now



    12-36 months

    Courses Required

    8 courses

  • Imperial College London
    MSc in Machine Learning

    Imperial College London

    University Ranking

    #9 ranked university in the world, Times Higher Education (2019)


    One of the world’s first online Master’s in Machine Learning from one of the best-ranked universities in the world.

    This program is for

    This degree meets the needs of students with multiple backgrounds -- both students just starting a career in data science, and those already working in roles such as senior data analysts, bioinformatics scientists, statisticians or business analysts.

  • University of Colorado Boulder
    Master of Science in Data Science

    University of Colorado Boulder

    University Ranking

    #14 ranked Applied Math program in the U.S., U.S. News & World Report (2020)


    An interdisciplinary, applied data science master’s degree with no application.

    This program is for

    Anyone who is interested in the field of data science, no matter your academic background.

    Admissions Requirements

    Performance-based admissions means there are no prerequisites or an application. Take a series of area-specific exams, earn a B average or better, and you will be admitted into the degree. Learn and earn credit without needing to wait 6 months while your application is being completed and reviewed.

Top data science degrees, designed to fit your life

Become a Data Science professional and earn your Master’s degree for a breakthrough price. Data Science degree programs on Coursera feature hands-on learning, peer-to-peer support, and the same professors that teach degree courses on campus. You’ll learn how to derive insights from massive datasets with cutting-edge tools and methods from some of the top faculty in the world.

Learner Profile

Anu A.

University of Illinois MCS-DS Student

Top Quality Learning

We partner with leading universities to deliver the world's best online degree programs. You don't need to quit your job or move to a new city to earn a top university degree. Learn from the same professors and graduate with a high-value credential from the same university.

Breakthrough Pricing

Earn a high-stature degree for much less than similar on-campus programs. We partner with top universities to create affordable learning programs that make degrees more accessible for everyone.

Modular & Stackable

Try your first course risk-free & start working towards your degree today. Start learning right away with an open degree course, Specialization, or MasterTrack™ Certificate and make progress on your own schedule. If you are accepted into the degree program, your completed work can count towards your degree.

Applied, Real-World Learning

Learn on the world’s leading platform for building technical skills. Degrees on Coursera are powered by tools that let you practice the skills you'll need to become a technical expert. The courses are designed to give you lots of opportunities to practice. Learn from in-browser coding assignments and get instant feedback on your work.

What students and faculty say

The cost, the flexibility, and the material — you put all that together, I think it is a phenomenal option.ASHISH KUMAR, MCS-DS GRADUATE
Filled Play
Filled Play
Through developing programming, data analysis, visualization, and machine learning skills, graduates of this program will be able to ask meaningful questions and generate evidence-based solutions.Martin A. PhilbertProvost, University of Michigan
Filled Play
I feel great that I got the opportunity to work with one of the best universities on my own schedule. It will elevate my life, and my family's life overall, to help me grow my career into the latest technology trends.Himanshu ShahMCS-DS Graduate

Join a global learning community

Grant M.

University of Illinois iMBA Student

Average age

35 years

Anu A.

University of Illinois MCS-DS Student

Average work experience

14 years

Students represent

95 countries

Qian Z.

University of Illinois MCS-DS Student

1st year student retention


Ashish K.

University of Illinois MCS-DS Graduate

Led by the same top-ranked professors that lecture on campus

Instructor Spotlight

John C. Hart

University of Illinois at Urbana-Champaign

John C. Hart is a Professor of Computer Science and the Director of Online and Professional Programs at the University of Illinois at Urbana-Champaign. He received his Ph.D. in Electrical Engineering and Computer Science from University of Illinois at Chicago in 1991. He has taught and researched computer graphics and data visualization for over 25 years. His research has been supported by Adobe, DARPA, Intel, Microsoft, NSF, Nokia and NVIDIA, and has resulted in over 125 papers, patents and videos.

Professor Hart teaches the Data Visualization course in the Illinois Master of Computer Science in Data Science.

Instructor Profile