The first fully online Master of Data Science from a top-10 Russian university, featuring applied projects and faculty with experience at leading companies.
In just over two decades since its founding, National Research University Higher School of Economics (HSE University) has emerged as 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 hosted on Coursera is the first fully online data science Master’s from a top QS ranked Russian institution. 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 conducted online. Exams and assignments are graded online by HSE faculty to provide feedback and uphold the rigorous standards of a prestigious Russian university.
Start your application today.
Submit your application before the December 6, 2019 deadline to begin the degree in February 2020. If you have questions about the program or the application process, you can reach out to us at msds@hse.ru with inquiries.
A Master of Data Science from a top-ranked Russian university
HSE University is ranked in the top 100 in Mathematics in Shanghai’s Global Ranking of Academic Subjects and in the top 250 in QS Computer Science & Information Systems. In 2019, The Faculty of Computer Science at HSE became home to International Collegiate Programming Contest (ICPC) finalists when its team won Bronze competing with 135 universities from 46 countries.
Learn online from working data science practitioners
Recognizing the importance of practicality in data science education, HSE’s Faculty of Computer Science carefully built a team of professors that are current practitioners in the field. Students in the degree benefit from this practical experience as they connect with faculty during live class sessions or with tools like Slack and Zoom. Each course includes weekly office hours to facilitate for high levels of engagement between faculty and students.
The programme is designed and supervised by leading experts in mathematics, computer science, and data science: Vladimir Podolskii, Senior Research Fellow of the Steklov Mathematical Institute of the Russian Academy of Sciences, Head of HSE’s Big Data and Information Retrieval School, and Senior Research Fellow at the Laboratory of Theoretical Computer Science; Evgeny Sokolov, Deputy Supervisor of the Big Data and Information Retrieval School and Academic Supervisor of the Bachelor’s Programme ‘Applied Mathematics and Information Science’; and Mikhail Gustokashin, Director of the Centre of Student Competitions in the Faculty of Computer Science at HSE University.
Applied projects and industry expertise from leading companies
HSE students benefit from 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. Students work with data science experts and complete projects designed by industry experts. Students are paired with faculty member advisors as they complete their final project. Students will benefit by making connections with faculty members, and by taking advantage of opportunities to practice their job interview skills.
Designed for students of all backgrounds
Designed by leading experts of HSE University’s Faculty of Computer Science, the programme includes 3 tracks: Data Scientist, Machine Learning Engineer, and Researchers in Data Science. The program is distinguished by its emphasis on hands-on, project-based training, and, due to its online format, it offers students many advantages over traditional on-campus programs. Students can enroll in the program from anywhere in the world, complete the courses on their own schedule without having to relocate.
The program curriculum consists of 21 courses divided into four blocks: a mathematics block, a programming block, a professional block, and a project block. Students begin their study with the mathematics and programming blocks. In order to successfully complete the program, students must earn 120 ECTS credits. Successful graduates will receive a Master’s degree in Data Science from HSE University.
Admissions Requirements
To be considered for admission, students must have a bachelor’s degree and fill out a brief application form. They must also pass an online exam that tests their understanding of basic knowledge of mathematics.
The degree features introductory courses on math for data science, programming, and algorithms, so students without a computer science bachelor’s degree can learn basic concepts as they complete the program.
HSE - DS Overview Video
Who is this data science degree for?
This online Master of Data Science is intended to create opportunities for students to become experts in data science. Graduates will be prepared to enter or continue in fields like analytics, data science, machine learning and artificial intelligence, research, and academia. No coding experience is required, and students of all backgrounds are welcome.
In order to apply, students must have a bachelor’s degree and an interest in data science as a career. Some students might have backgrounds as analysts, programmers, or web developers. However, this is not necessary to qualify for the degree.
At a Glance
18-24 months
18 six week courses and 3 capstone projects
577,500 - 1,155,000 rubles depending on grant eligibilityEquivalent to ~$8,250 - $16,500 | Subject to change with currency exchange rate | Any currency exchange commissions charged shall be borne by students
Completely Online
The degree experience is...
The same kind of courses you’ll find on campus, with the flexibility to learn when and where you want.
Collaborate with a global network of classmates, instructors, and alumni.
Innovative courses with lectures from some of the world’s best instructors and hands-on projects.
Practical courses designed to help you master skills that you can start applying to your career right away.
When you graduate, you'll be able to:
Code like an expert in Python
Create machine learning models for both practical or research-based environments
Learn skills to work as a data scientist or machine learning engineer
Leverage lifelong connections made with peers and faculty at HSE
About HSE University
National Research University Higher School of Economics (HSE University) is one of the largest and most prestigious institutions of higher education in Russia, as well as in the CIS and Eastern Europe. HSE University was established in 1992, and in just over two decades it has grown from a specialized institution focused on social and economic sciences to a comprehensive university engaged in multidisciplinary research, international cooperation and digital education. A dynamic university with more than 40,000 students on four campuses in Moscow, Saint-Petersburg, Nizhny Novgorod and Perm, HSE University is a leader in combining Russian education traditions with the best international teaching and research practices. The university offers high quality education at all levels – from a lyceum for school students to post-graduate and MBA programmes. Students can pursue training in a wide range of fields, including the social sciences, economics, humanities, law, engineering, computer science, mathematics, physics, chemistry, biology and biotechnology, as well as the creative disciplines. HSE University has more than 350 international partners from 63 countries with opportunities for students to study in double degree or exchange programmes.
#8
QS-ranked Russian university
#3
QS-ranked Russian university in Mathematics
#1
ranked Russian university in Mathematics by Shanghai’s Global Ranking of Academic Subjects
Frequently Asked Questions
The diploma will be a “Master of Data Science in the Applied Mathematics and Information Science Specialization” from HSE University.
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.
