Big Data and Data Science

Start: September 1, 2023

Degree: Master

Duration: 2 years

ECTS: 120

Language: English

Application deadline:  August 15, 2023


Big data refers to massive amounts of information becoming available with more and more people using the Internet and computers. This data can generate powerful insights in domains ranging from business and entertainment to politics and healthcare. However, the amount of data being captured today is ever-increasing and extends beyond the storage and analyzing capacity of traditional applications.

This master's program is aimed at training specialists in the field of Big Data and Data Science.

Data Science is a rapidly growing field and job market. Successful career in data science starts with obtaining solid knowledge and skill base that can be achieved through a combination of classic education and modern-day practically oriented interactive learning. If you want to start you career path in the exciting new area the right way, you can join our course. Having completed the program, you will be able to apply your skills in research, business, analytics, or design and engineering.

The program Big Data & Data Science includes various branches of data analysis and machine learning and has three academic tracks (Industry 4.0, Bioinformatics and Biomedicine, Social Media).


Industry 4.0

Majors (Core courses):

Digital Signal Processing

High Performance Computing

Research Topics in Industry 4.0 (Industrial Data Analysis)

Research Topics in Industry 4.0 (VR/AR technologies)

Research Topics in Industry 4.0 (Digital Image and Video Processing)


Bioinformatics and Biomedicine

Majors (Core courses):

Fundamentals of Molecular Spectroscopy

Modeling of Molecular Targets for Medical Diagnostics and Therapy

Research Topics in Bioinformatics

Research Topics in Biomedicine


Social Media

Majors (core courses):

Social Network Analysis 1

Data Mining in Social Media 1

Research Topics in Social Media: Methodology of Social Media research

Research Topics in Social Media: Preparation of Research Tools

Institute of Applied Mathematics and Computer Science (IPMC) was formed on the basis of the Faculty of Informatics and the Faculty of Applied Mathematics and Cybernetics on July 10, 2017. Original Faculty of Applied Mathematics was established on July 3, 1970 on the basis of TSU. In the early 1980's, it was renamed to Faculty of Applied Mathematics and Cybernetics. In 1986, the Faculty of Informatics was formed as an educational and scientific complex on the basis of the Department of Programming and Informatics, the Department of Economic Cybernetics, the Laboratory of Computing Systems, and the Computing Center of TSU; in 1992 it was reorganized into the Informatics Department.


There are 114 teaching staff members at the Institute, including 31 professors and 55 associate professors.


Institute staff are actively involved in research. The main areas of research in the field of Big Data & Data Science are:


  • development of theoretical and technological fundamentals of artificial intelligence
  • big data preprocessing and analysis methods and models
  • machine learning and semantic data systems methods and models
  • pattern recognition and classification
  • technologies for automated detection and classification of ground and overwater objects using statistical and neural network algorithms

Required documents  (to be submitted via


1) copy of passport

2) copy of high school certificate/a registrar-issued transcript of grades for the last semester; upon arrival, students must provide the Admission Office with an original document

NOTE! documents received outside of Russia must be endorsed in accordance with the procedure established by the legislation of the Russian Federation, or with an apostille (except when endorsement is not required by the legislation of the Russian Federation and (or) an international treaty)

3) certified translation of the diploma and the passport into the Russian language (can be submitted upon the arrival)

4) completed application form (

5) other diplomas and certificates proving any other achievements (if any)

6) motivation letter

7) entrance exams:

                - interview

Tuition fee per year is 325,000 RUB.       


Scholarships are available via