Master’s Degree Program Data Science and Mathematical Modeling

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.

The program is aimed at providing students with fundamental data science education and developing strong mathematical, statistical, modeling and programming skills.

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.

The minimum requirements for admission in Master’s Degree Program Data Science and Mathematical Modeling at Siberian Federal University for all applicants (Domestic or International) are:

• program specific academic requirment set by Siberian Federal University.
• English Language OR any other language requirments as set by Siberian Federal University as pre-requiste for admission in Master’s Degree Program Data Science and Mathematical Modeling.

Note: Please check the university website in the link below.

You need to complete 120 credit hours to successfully obtain this degree. Please check detail of study units at http://www.sfu-kras.ru/en/masters/data-science#tab1

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

We use modern training techniques to increase the efficiency of the study, including:

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

You can join one of the following careers:

• Data Scientist
• Data Science Developer
• Data Science Consultant
• Mathematician