M.Sc. On Campus

Data Science

HSE University

24 months
2267 EUR/year
Tuition fee
Apply date
Start date


This programme includes training in the fields of computational models, mathematical modelling and forecasting, computer architecture, advanced programming techniques, as well as data storage and retrieval.


The aim of the Data Science programme from HSE University is to train highly-qualified experts in applied mathematics, information science and data analysis. 

The programme involves an in-depth study of mathematical methods of artificial intelligence models and modern methods of data analysis, mathematical and informational modeling of complex systems as well as computer realization of these methods. Knowledge and skills of graduates from this course are in demand by Russian Federation ministries and institutions, regional administrations and large companies.

The concept and the curriculum of the specialization in Internet Data Analysis have been developed in conjunction with Yandex. This track involves the teaching of special disciplines by the Company staff members, the participation of students, postgraduates and lecturers in projects implementing tasks suggested by Yandex and related to its business operations, vocational training for students in Yandex and joint research carried out together with Yandex staff. 

The programme includes 3 tracks:

  • Internet Data Analysis
  •  Intelligent Systems and Structural Analysis
  • Technologies of Modelling of Complex Systems
  • English-taught track

After the graduation

Graduates of the program will acquire skills and competences in demand on the leading online-platforms, including methods and tools for processing large volumes of data (Big Data), data preprocessing (Extract-Transform-Load), data mining (Data Mining), knowledge extraction (Knowledge Discovery), creating search engines (Search Engines), social network analysis (Social Network Analysis), algorithm scaling (Hadoop and Map-Reduce technologies), and financial time series forecasting.

Programme Structure

Courses included:

  • Modern Methods of Data Analysis
  • Modern Methods of Decision Making
  • Ordered Sets in Data Analysis
  • Network Science
  • Machine Learning and Data Mining
  • Automated Methods for Program Verification
  • Medical Informatics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Application form
  • Bachelor’s (Specialist’s or Master’s) diploma and official transcripts of previous educational studies
  • You need to have a degree in one of the following fields of study: Computer Science, Computer and Information Sciences, Applied Mathematics and Computer Science or at least to have courses in Algorithms and Data Structures, Programming, Databases Theory and Advanced Mathematics 
  • The Admission Committee takes into consideration the number of hours, the final assessments and your university ranking.
  • CV
  • Letter of motivation (~500 words, not more than one page of printed text), describing your reasons for applying in the context of your long-term career goals and background. The quality of your English is also evaluated.
  • At least one letter of recommendation
  • Exam results confirming language proficiency
Portfolio 2021

Tuition Fee

To alway see correct tuition fees
  • International

    2267 EUR/year
    Tuition Fee
    Based on the tuition of 2267 EUR per year during 24 months.

200 000 – 400 000 RUB/year

Living costs for Moscow

41640 - 81437 RUB /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


International students can apply to study at HSE for free through full-tuition scholarships. This merit-based scholarship will completely waive all tuition fees for selected full-degree Master's programmes at HSE. Here is a link to explore:

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science
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