Master of Data Science

HSE University

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The first fully online Master of Data Science from a top-10 Russian university, featuring applied projects with industry partners like Yandex.

Recently ranked first place in Forbes' "Universities for the Future Elite: 100 Best Russian Universities According to Forbes – 2020" ranking, National Research University Higher School of Economics (HSE University) is a leading university for multidisciplinary research, international cooperation, and digital education in Russia. A dynamic institution serving more than 40,000 students at campuses in Moscow, Saint-Petersburg, Nizhny Novgorod, and Perm, HSE University is a leader in combining Russia’s education traditions with the best international practices in teaching and research.

HSE’s Master of Data Science is the first fully English-taught online data science Master’s from a Russian university. Unlike many online degrees in Russia and the Commonwealth of Independent States, this degree has no on-campus requirements. All meetings, coursework, and live class sessions are taught in English and replicate the practitioner’s work environment of real data scientists using Python, Github, and modern apps like Slack and Zoom.

What makes this data science Master's degree unique?

Collaborate with some of Russia’s best technology companies, like Yandex

HSE has partnerships with some of Russia’s largest and most impressive technology companies, such as Yandex. HSE’s Yandex partnership is a deep collaboration, with several faculty members working concurrently at Yandex and HSE. In this degree, you will complete applied projects designed with HSE in collaboration with its industrial partners.

A degree with multiple tracks for students of all backgrounds

This degree is designed for students with or without prior coding experience. HSE provides a career-relevant curriculum for analysts, data and computer scientists, software engineers, academic researchers, or machine learning engineers by utilizing three distinct tracks: Data Scientist, Machine Learning Engineer, and Researcher in Data Science.

Applied projects with expert faculty guidance

Throughout the degree, students are paired with faculty member advisors and industry experts as they work through their final project, which involves solving a real-world problem with techniques taught in the program. Students benefit by making connections with faculty members and learning from some of the most impressive technology companies in Russia and beyond. In addition, they are encouraged to connect with faculty during live class sessions and weekly office hours with tools like Slack and Zoom.

  • Tuition
    Spring 2021 tuition fees: 675,000 - 1,350,000 RUB

    Depends on geographic location | Subject to change with currency exchange rate | Any currency exchange commissions charged shall be borne by students

  • Program length
    20 - 24 months
  • Brief overview
    18 Courses + 3 Projects
  • Method of study
    100% Online

Application Deadlines

Spring 2021 cohort applications are open!

  • Application deadline: December 10, 2020, 6pm Moscow Time
  • Dates of mandatory entrance exam: December 14 - 18, 2020. Learn more about Entrance Exam.
  • Admissions results: December 28, 2020

To get started, please visit the application page and register for an account.

If you have any questions about the admissions process or the program, please do not hesitate to get in touch via mds@hse.ru.

Start Today

Ready to become an expert in data science? Prospective students can take courses from HSE before they commit to the MDS degree. HSE courses on Coursera will cover topics such as discrete mathematics, calculus, and linear algebra, in the form of video lectures, readings, and quizzes.

The Specialization, Mathematics for Data Science, is now open for enrollment on Coursera. There are four courses in this Specialization – Discrete Math and Analyzing Social Graphs, Calculus and Optimization for Machine Learning, First Steps in Linear Algebra for Machine Learning, and Probability Theory, Statistics and Exploratory Data Analysis.

If you are admitted to the full program, your courses count towards your degree learning. Credit transfers will not be available for the first two cohorts.

Learn more about HSE courses on Coursera

About the Program

Admissions

Admissions

HSE welcomes students with bachelor’s and/or master’s degrees in any field. The admissions process includes an exam that tests basic mathematics proficiency.

Learn more about Admissions
Academics

Academics

This program emphasizes hands-on, project-based training. The curriculum features math, programming, and algorithm-focused courses. Students that do not have a degree in computer science can learn these concepts as they complete the courses.

Learn more about Academics
Careers

Careers

The MDS prepares students for successful careers in fields like analytics, data science, machine learning and artificial intelligence, research, and academia.

Learn more about Careers
Student Experience

Student Experience

Learn more than just theory. Solve real-world DS problems with experts from academia and leading technology companies like Yandex, completely online through live chats and video conferences.

Learn more about Student Experience
About HSE University

About HSE University

Founded in 1992, National Research University Higher School of Economics (HSE University) is one of the largest and most prestigious institutions of higher education in Russia.

Learn more about HSE University
Try a Course

Try a Course

Register for an open course from HSE University to see if the Master of Data Science is right for you.

Learn more about HSE courses on Coursera

Events

Nov26

Educational Process Webinar @ 7pm Moscow Time | Learn about how to be a successful student in the program | Register now

Dec1

Entrance Exam Preparation Webinar @ 7 pm Moscow Time / 8 am Pacific Time | Register Now

Dec10

Spring 2021 applications are due

News

Frequently Asked Questions

Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution.

We encourage you to investigate whether this degree meets your academic and/or professional needs before applying.