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15 Best Data Science and Statistics Master Degrees in Russia

Research graph of "Which graduates earn the most?" by the Institute for Fiscal Studies (UK) shows any graduate with Mathematics and Economics earns the most.

The website CareerCast.com publishes annually for 25 years a rating of 200 professions according to the Bureau of Labor Statistics and other US organizations. Evaluation criteria: working environment, income, working conditions and level of stress.
Ranking 2017:

1 - statistician;
3 - operations research analyst;
5 - data scientist;
6 - university professor;
7 - mathematician;
11 - actuary
(2013, 2015 years - ranked at 1st place)

1. Master in Big Data Analysis in Business, Economy, and Society' - Taught in Russian and English

Offers students advanced instruction in probabilistic, statistical and computational methods for working with large datasets. The program combines fundamental training in modern engineering mathematics, statistics and machine learning, as well as methods for analyzing unstructured data (text, networking, images, etc.), with advanced courses in economic models, simulation of complex social systems, and predictive models for marketing and finance. Furthermore, a strong emphasis is placed on practical work with software for distributed data analysis and projects that bring together students of various backgrounds.


2. Master in Big Data Systems - English medium

To train specialists who are able to assess the impact of big data technologies on large enterprises and to suggest effective applications of these technologies, to use large volumes of saved information to create profit and to compensate for costs associated with information storage. The program trains graduates who are able to introduce and evaluate the effectiveness of big data technologies and tools in enterprises; to manage data; to implement and apply tools used for analytics and decision-making around big data, to manage solutions; and to develop new models of information infrastructure, taking into account the capabilities of big data technologies.


3. Master in Statistical Modelling and Actuarial Science - Taught in Russian and English

Unique blend of the core courses in stochastic analysis and the basic actuarial education designed in the traditions of the Institute of Actuaries. Students will be well-prepared to compete for positions in leading Russian and International banks, insurance companies and other financial organizations, or apply for academic positions at universities.

Partner Universities:

4. Master in SMART-Marketing: Data, Analysis, Insight

The Master in Smart Marketing course aims to develop competencies in marketing analysis, modelling and the development of solutions that improve the efficiency of marketing activities.

Key features of the Master’s program:


5. Master in Corporate Intelligence Analysis (Business Intelligence Analyst)

This program trains specialists in Corporate Intelligence Analysis. Students gain an understanding of business intelligence as an integral part of organizational management. They become familiar with the technologies and methods used in intelligence analysis by companies as part of the business intelligence cycle - the foundation for business security in modern-day information confrontation.

All modules of the program are implemented on the basis of a risk-oriented approach, which ensures the unity of methodology and practice of modern business management, the organic coherence of the program with the world's leading schools of management and decision-making.

Among the teachers of the program are doctors and candidates of science, academicians of the Russian Academy of Sciences, leaders and employees of leading world and Russian organizations in the field of fundamental and applied research of information and analytical activities.

The close contacts and connections with the leading world and domestic companies, specializing both in the creation of advanced information and analytical systems and technologies aid in developing the latest methodologies and practical ways of solving problems of business intelligence with their use.

6. Master in Data Analysis in Biology and Medicine - Taught in Russian and English

The program trains bioinformatics leaders of biology and Medicine. Modern experimental techniques in life sciences produce large, constantly accumulating amounts of biological data. The data analysis requires deep knowledge of basic computer science and task-specific algorithms, yielding a high demand for professionals in computational biology. They should have strong mathematical and biomedical skills.


7. Master in Data Mining

The Data Mining Program is aimed at preparing master’s students with a deep fundamental knowledge in many areas of contemporary applied mathematics, including data analysis, language-processing tasks, applied computer and corpus linguistics tasks, machine learning, models and algorithms for solving optimization tasks, game theory, network analysis technology, modern probability theory, and mathematical statistics. Graduates of the Program are given the necessary knowledge to develop new mathematical models and effective algorithms to solve complex tasks that arise in real life.

In one of fastest developing spheres – information and communications technology – the salary of employees proficient in data analysis and algorithm optimization are several times higher than that of ordinary software developers. With that, large companies like Yandex, Google, Intel, Kaspersky Lab, Microsoft, Apple, and Samsung are most interested in these types of employees.

Graduates of the Computational Linguistics specialization will be able to apply their knowledge in areas such as communication modeling and analysis, monitoring mass data using contemporary computational tools for linguistics research, and the development and use of intelligent program systems for finding and analyzing text data on the internet.

The program’s target audience are students with a bachelor’s degree in applied mathematics and informatics, mathematics and computer science, business informatics, fundamental and applied linguistics, as well as other areas related to mathematics and computer science.


8. Master in Data Science - Taught in Russian and English

In order to analyze the growing volume of data generated in all areas of today’s society, the modern IT industry is elevating the issue of Big Data. Likewise, the academic community is establishing the emerging field of Data Science. This program includes training in the fields of computational models, mathematical modelling and forecasting, computer architecture, advanced programming techniques, as well as data storage and retrieval. Graduates of the programme will be able to solve problems concerning data search, collection, storage, preparation and analysis, as well as interpretation of results in the area of specialization.

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, the participation of students, postgraduates and lecturers in projects implementing tasks suggested by and related to its business operations, vocational training for students in Yandex and joint research carried out together with Yandex staff.


9. Master in Applied Statistics with Social Network Analysis - English medium

This program is for students who wish to develop their statistical knowledge and credentials by obtaining a graduate degree in Applied Statistics, regardless of their primary field of study. Given the focus of the ANR-Lab, an emphasis on network analytic methods will further enhance the program’s offering, since networks recently became a popular source of data in a variety of fields.

Who will be interested in this program?

Partner Universities:

10. Master in Statistical Learning Theory - English medium

This joint program trains the next generation of scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory. This field is at the cutting edge of various disciplines of mathematics and computer science. It is one of the most dynamic areas of modern science, encompassing mathematical statistics, machine learning, optimization, and information and complexity theory. From the start of the program, students collaborate in thematic working groups and actively participate in research and learning from leading global specialists in statistics, optimization and machine learning.

This program stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology.

11. Master in Supercomputer Simulations in Science and Engineering - Taught in Russian and English

This program is designed to train specialists in the field of development, research and application of modern methods of supercomputer simulations and processing of large volumes of data in science and engineering. Setting it apart from other courses of study, the curriculum boasts both scientific and design components and involves specialists in Russia and abroad in the fields of supercomputer simulations and high-performance computer systems. Graduates are sought after by IT departments of government corporations, major IT firms and scientific research institutions.

The Program’s key advantages are:


12. Master in Financial Technologies and Data Analysis - Taught in Russian and English

To train future professionals to analyze different data forms (numerical and text data, graphs and images), develop models for machine learning and predictable analytics and, equally important, to create business value using mathematical models.
In partnership with Russia's largest bank "Sberbank"

The advantages of the program are:

What will I learn?

Who will be my future Employers?


13. Master in Information Systems and Human-Computer Interaction

This program is designed to meet the increasing demand for experts in this area and builds competency in cutting-edge methods of mathematical modelling and data analysis, understanding of human behaviour in complex online-systems and design of information systems optimizing user experience and business goals.


14. Master in Mathematical Methods of Modelling and Computer Technologies

This program is to educate highly qualified specialists (Masters of Science) who have the ability to carry out research in a variety of current and advanced technology fields comprising mathematics and its applications. These fields include quantum informatics, bioinformatics and molecular medicine, supercomputer clusters, distributed computations, complex networks and statistical systems, molecular machines, thermal-diffusion waves and phase transitions, nanorobots and nanomechanics, topological electronics, and atomic design of materials. The programme reflects the revolutionary changes taking place in modelling methods and supercomputer technology, making graduates highly competitive and allowing them to take positions at leading scientific centers.


15. Master in Mathematics for Qualified Teachers (plus working with gifted children)

(It is designed for highly qualified teachers of mathematics.
The curriculum draws on both the scientific capabilities of the Faculty of Mathematics as well as the extensive experience of experts at CTE in the field of education. It will provide mathematics specialists with the opportunity to enhance their skills base for teaching in schools, as well as provide teachers of mathematics with the chance to enhance their knowledge of mathematics and understanding of working with gifted children.)

So, get your life going and your career forward. Even students who have had a gap year can apply provided they have had a mathematical, computer science, physics or a statistical background.

For applying to study in Double Degree programs under CFER's guidance in the very few Russian State Universities which offer them go here and learn the step-by-step admission process at the end of the page. Then you may fill in all fields in our Information Request Form and forward it to one of our e-mails: admissions@cferussia.ru or learninginrussia@gmail.com