Master's program
Computational modeling in technology and finance
01.04.02 Applied Mathematics and Computer science
Full-time
Type of study
English
Language
2 years
Duration
Rostov-on-Don campus
Academic mobility option
Further studies at Ph.D. level
Study places available
0
State-funded places
24
Tuition fee-based places
Program description
The courses offered in the master's program cover a wide range of areas. Students will gain fundamental knowledge and skills in mathematical modeling and software (usingPython, C++, R, JavaScript programming languages).
They can apply this knowledge in their future careers in science or industry to solve real-world problems. Modern methods of data analysis and decision making require the use of methods from the fields of probability, statistics, optimization, machine learning, and scientific calculations. The program will present these tools in an accessible way through numerous examples.
They can apply this knowledge in their future careers in science or industry to solve real-world problems. Modern methods of data analysis and decision making require the use of methods from the fields of probability, statistics, optimization, machine learning, and scientific calculations. The program will present these tools in an accessible way through numerous examples.
Top reasons to study
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The graduates of master's program get a Master of Science degree in applied mathematics and computer science. They will be equipped with up-to-date research methods and tools, which help them solving R&D problems in IT companies and industry individually or as a part of an international scientific group -
The master's program offers the student extensive knowledge in areas such as: mathematical modeling in nanomechanics and biomechanics; modeling of financial processes; modern computer technologies and data analysis; machine learning -
The goal of the program is to prepare students for modern problems of modeling of new materials, financial mathematics and machine learning, as well as to give them the knowledge and tools to solve these problems -
Employment not only in Russia, but also in other countries
Core subjects
- Stochastic Modeling and Statistical Data Processing
- Modern Computer Technology
- Modern Problems of Applied Mathematics аnd Informatics
- Research Seminar
- Machine learning: mathematical basis
- Advanced Problems of Mathematical Physics
- Numerical Methods of Linear Algebra
- Modern optimization methods
- Computational finance
- Mathematical modelling in finance
Ways to enter SFEDU
See the application guide
See the application guide
- Portfolio
- Exams
Contact us
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