Master's degree program “Applied Computing in Engineering and Science”

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”.

Rapid development of computational methods enabled to implement new approaches in different areas, e.g. engineering, economics, bioinformatics, environment sciences, social sciences, etc. In research and development, as well as in management, we can see the trends to:

  • creating mathematical models for descriptions and simulation of real systems, their properties and behavior;
  • using complex statistical methods in order to evaluate the chances of certain cases and reliability, e.g. in quality assurance, setting up parameters of social security systems, cancer research, etc.

Therefore, specialists having good knowledge and skills in computing are rather required by the labor market in all developed countries.

This program was developed in the framework of the EU Tempus program in cooperation with:

  • Technische Universitat Wien (Austria),
  • Bergische Universitat Wuppertal (Germany),
  • Katholieke Universiteit Leuven (Belgium) and other universities.

It focuses on mathematical methods in applied sciences (simulation of complex mechanical and physical systems), numerical methods and symbolic computation.

The program curriculum and research projects proposed for our students are based on more than 20 years long cooperation with the leading producer of Russian GLONASS navigation satellites — Reshetnev center situated near Krasnoyarsk. Many of our courses are aimed at application of navigation signal processing. Our local supercomputing cluster provides the necessary research and training facilities.

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Professor Sergey P. Tsarev

After graduation from Lomonosov Moscow State University in 1976 and Ph.D. studies (the same University, 1984) S.P.Tsarev got D.Sc. in Mathematics from Steklov Mathematical Institute (Moscow) in 1993. Professor of Applied Mathematics (Siberian Federal University).

Author and co-author of 56 scientific publications. Project leader of 6 research projects of RFBR (Russian Foundation of Basic Research), research associate in 8 other RBFR projects. Project leader of 2 European (INTAS) projects in 1995-1997.

Research rating (ISI Web of Science): 508 citations. Please visit his web-pages in professional academic networks: Scholar Google Citations, ResearchGate.

Research interests: Computer Algebra, Integrability of Differential Equations, Satellite Navigation Data Processing Algorithms.

Actively uses Russian, English and German languages.

Alexey Kytmanov

Department of Applied Mathematics and Computer Security, Siberian Federal University

Education and Academic Degrees:

  • 2010 — Siberian Federal University, D.Sc. in Applied Mathematics
  • 2002–2005 Missouri University of Science and Technology, Ph.D. in Mathematics
  • 2000–2003 Krasnoyarsk State University, Ph.D. in Mathematics
  • 1995–2000 Moscow State University, M.Sc. in Mechanics and Applied Mathematics

Research Interests: Algorithms, Computer Algebra, Algebraic Geometry, Several Complex Variables, Mathematics Education.

CV (.pdf)

Duration: 2 years (120 ECTS)
Starting date: October, 1
Language: English
Entry requirements:
  • BSc or MSc degree in Mathematics, Physics or Computer Science (transcript of records)
  • good command of English (certificate or other document)
Application deadline: July, 29
Tuition fee: 190,000 rubles. The cost does not include accommodation and living expenses.
The price could change at the time of signing a learning agreement.
Accommodation: On-campus accommodation is available in double and triple-occupancy rooms (€ 20 per month).
Practicalities: Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University.

The curriculum contains the following thematically connected main topics, which cover the most important issues for solving mathematically and computationally oriented problems in practice:

  • Scientific computing (14 ECTS): computer algebra, computer aided differential geometry, functional analysis, etc.
  • Numerical Analysis and Optimization (5 ECTS): numerical simulation techniques, efficient coding methods, discretization techniques, etc.
  • Mathematical Modeling (11 ECTS): model building and simulation, partial differential equations and dynamical systems, etc.
  • Statistical Modeling and Computing (10 ECTS):
    • descriptive statistics, multivariate statistics, advanced regression and classification, clustering and pattern recognition, etc.
    • software environment, large memory data analysis, data visualization techniques, high-dimensional data analysis, etc.

This curriculum combines different areas of mathematics, statistics, and information technologies into a modern interdisciplinary study program focused on applied computing. The aim will be to educate highly qualified and skilled graduates, who:

  • will able to understand the theoretical background and the scientific foundations;
  • will be familiar with the tools to apply the theoretical framework in practice;
  • will have experience with practical applications and interpretations of the outcome.
Part of curriculum Code of the course
or course module
Title of the course
or course module
Term 1
basic B1 Scientific Computing I (.pdf) 6
basic B2 Numerical Linear Algebra (.pdf) 6
basic B3 Mathematical Modeling (.pdf) 6
variational V1 Research seminar 2
practice P Research 10
Total 30
Term 2
basic B4 Scientific Computing II (.pdf) 6
variational V2 Numerical Analysis and Optimization (.pdf) 6
variational V3 Statistical Computing (.pdf) 6
variational V1 Research seminar 2
practice P Research 10
Total 30
Term 3
variational V4 Scientific Computing III (.pdf) 6
elective E1-1 Number Theory, Finite Fields and Their Applications (.pdf) 6
E1-2 Statistical Modeling (.pdf)
elective E2-1 Mathematical Models of Continua (.pdf) 3
E2-2 Data Compression (.pdf)
elective E3-1 Solving Polynomial Equations. Foundations and Algorithms (.pdf) 3
E3-2 Computer Algebra Algorithms for ODE's and PDE's
variational V1 Statistical Modeling (.pdf) 2
practice P Research 10
Total 30
Term 4
practice P Research 24
basic F Master’s Thesis defence 6
Total 30

More information?

Please contact our Department of International Educational Programs, SibFU

e-mail: study [at] sfu-kras [dot] ru
phone: +7 391 206-39-28
fax: +7 391 206-21-66
address: 79 Svobodny pr., room Б1-19, Krasnoyarsk, 660041 Russia

Skype: StudyatSibFU

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The University

Today Siberian Federal University (SibFU) with over 35,000 students enrolled in its programmes is one of the most actively developing universities in Russia. Annually more than 200 visiting professors – leading scientists from UK, Germany, Spain and USA – deliver their lectures at SibFU.

The University is a winner of the Russian Government grants supporting research projects under the guidance of top-level scholars from Russia and all over the world.

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The City of Krasnoyarsk

Krasnoyarsk is the administrative capital of Krasnoyarsky kray – second largest region of Russia. It is a big industrial and educational centre with a population of more than 1 million people, and also an important junction of the Trans-Siberian Railway.

The city is located on the banks of the Yenisey River in the valley formed by the Eastern Sayan Mountains. Nature reserve Stolby ("pillars") has become the city’s visiting card.

Among the famous people born in Krasnoyarsk are artist Vasily Surikov, opera singer Dmitri Hvorostovsky, biathlete Evgeny Ustyugov, skeletonist Alexander Tretyakov and ice-hockey player Alexander Semin.

In 2019 Krasnoyarsk will proudly host the XXIX Winter Universiade.

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