Studyportals Study cover for Data Science and Mathematical Modeling

Data Science and Mathematical Modeling

24 months
3630 EUR/year
3630 EUR/year
Tuition fee
Apply date
Start date


The program is designed for students with a background in Mathematics, Physics, Natural Sciences, Computer Science or Engineering. The main goal is to train highly-skilled professionals in the field of Data Science and Mathematical Modeling. The graduates of this program will be very competitive at the international labor market.

Visit the official programme website for more information


The main objectives of the program are the following:
  • to provide students with advanced knowledge in the field of Mathematical Modeling, Analysis,
  • to emphasise the need of using cutting-edge technologies
  • to differentiate between modern programming techniques needed for working with data (such as preparation, pre-processing, processing, and analytics)
  • to solve data analysis problems in various applied fields;
  • to develop soft skills (systemic and critical thinking, teamwork skills, self-management, interaction skills).

To ensure the learning outcomes are achieved, we have brought together highly professional academic staff with good command of English language and experienced researches in the filed of applied data analysis.

Learning outcomes (knowledge, skills, competence)

Working in close cooperation with IT and Engineering enterprises, which provides students with applied tasks and helps them to develop their project management, teamwork, and client interaction skills.

Modern training techniques to increase the efficiency of the study, including:

  • interdisciplinary approach
  • case study
  • blended learning
  • teamwork projects
  • active involvement in research activity.

Programme Structure

1 semester - 27 ECTS credits:

  • Mathematical Modeling
  • Numerical Linear Algebra 6
  • Foreign Language for Business and Professional Communication
  • Data Storage and Management Systems
  • The Basics of Machine Learning
  • Optional course: Python Language for Scientific Research
2 semester - 33 ECTS credits
  • Simulation Modeling
  • Numerical Analysis and Optimization
  • Advanced Methods of Data Analysis
  • Foreign Language for Business and Professional Communication
  • Bioinformatics Algorithms
  • The Basics of Cryptography
  • Optional course: Julia Language for Scientific Research
3 semester - 29 ECTS credits
  • Multi-Agent Systems
  • Statistical Modeling
  • Applied Data Analysis
  • Big Data 3 ECTS credits
  • Bioinformatics Algorithms
  • Applications of Machine Learning in Cryptography

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


IELTS or TOEFL needed


120 ECTS



Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • Bachelor's degree in Mathematics, Physics, Computer Science or equivalent (a copy of your diplomas from previous university studies and transcripts of completed courses and grades)
  • good command of English (certificate or other official document , English level B1 (European Framework of Reference of Communicative Skills)
  • Skype interview
  • a motivation letter and letters of recommendation may also be required

Tuition Fee

  • International

    3630 EUR/year
    Tuition Fee
    Based on the original amount of 3630 EUR per year and a duration of 24 months.
  • National

    3630 EUR/year
    Tuition Fee
    Based on the original amount of 3630 EUR per year and a duration of 24 months.
  • 250,000 rubles / year; 
  • The cost does not include accommodation and living expenses. The price could change at the time of signing a learning agreement.


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.

Our partners

Data Science and Mathematical Modeling
Siberian Federal University