Faculty of Applied Mathematics, Informatics, and Mechanics

• One of the best IT departments in Russia
• A unique combination of fundamental education in information technology and training in economics and management
• The largest number of state-funded places at VSU
• A large selection of free courses of specialised extracurricular education
• Free courses in English and German (4-6 hours per week)
• A large number of joint conferences, meetups, hackathons, IT-talks jointly with IT companies
• Additional scholarships: social, incentive, of the VSU Rector’s office, of the governor of the Voronezh Region, of the government of the Russian Federation, of the Potanin Foundation, of the NLMK, LUKOIL, INFORMSVYAZ companies, etc.
• Students at the faculty are trained for employment in the leading regional companies. Accommodation in the dormitory is provided to students from other cities and countries.

The history of the faculty goes back to 1918, when the Faculty of Physics and Mathematics was opened among the first faculties of Voronezh State University. The Faculty of Applied Mathematics and Mechanics was founded in 1969 following the split-off of the Faculty of Applied Mathematics, Informatics, and Mechanics and the Faculty of Mathematics. The faculty was founded mainly thanks to the efforts of the famous scientist, Professor G.I. Bykovtsev, who became its first dean. The faculty was formed as a result the rapid development of computer technology and the growing demand for specialists who were able to apply it in scientific, industrial, and other spheres of human activity.

Bachelor's degree

• 01.03.02 Applied Mathematics and Informatics
  Fields of study:
  • Software Development and Computer Processing Technologies
  • Mathematical and Computer Methods in Applied Projects
  • Information Technologies for Computing Systems
  • Information Analytics and Big Data Processing
  • Dynamical Systems and Control
• 02.03.03 Mathematical Support and Administration of Information Systems
  Field of study: Design and Development of Information Systems
• 01.03.03 Mechanics and Mathematical Modelling
  Field of study: Computer-aided Engineering in Continuum Mechanics
• 02.03.02 Fundamental Informatics and Information Technologies
  Field of study: Software Engineering
• 38.03.05 Business Informatics
  Field of study: Business Analytics and Industrial Automation Systems
• 09.03.03 Applied Computer Science
  Field of study: Applied Computer Science in Jurisprudence
• 15.03.06 Mechatronics and Robotics

Master's degree

• 02.04.03 Mathematical Support and Administration of Information Systems
  Programme: Management of the Design and Development of Information Systems
• 38.04.05 Business Informatics
  Programme: Information Business Analytics
• 01.04.02 Applied Mathematics and Informatics
  Programmes:
  • Information Technologies and Economic Activities
  • Computer Technologies for the Problems of Mathematical Physics, Optimisation, and Management
  • Mathematical Support and Software for Information Systems
  • Mathematical Foundations for Computer Graphics
• 01.04.03 Mechanics and Mathematical Modelling
  Programme: Applied Mechanics and Computer Modelling
• 02.04.02 Fundamental Informatics and Information Technologies
  Programmes:
  • Machine Learning and Intelligent Information Technologies
  • Mobile Applications Development Technologies
• 09.04.03 Applied Computer Science
  Programme: Applied Informatics in Social and Medical Systems

Specialist's degree

• 10.05.01 Computer Security
  Specialisation: Mathematical Methods for Information Security

Postgraduate Training Programmes

• 01.06.01 Mathematics and Mechanics
  Field of study: Solid Mechanics
• 09.06.01 Informatics and Computer Facilities
  Fields of study:
  • System Analysis, Management, and Processing of Information
  • Mathematical Modelling, Numerical Methods, and Program Systems
  • Theory of Informatics
  • Management in Social and Economic Systems

Study options

• Full-time
• Extramural

Duration

• Bachelor’s degree programmes (full-time): 4 years
• Master’s degree programmes (full-time): 2 years
• Master’s degree programmes (extramural): 2 years 5 months
• Specialist’s degree programmes (full-time): 5.5 years
• Postgraduate training programmes (full-time): 3 years
• Postgraduate training programmes (extramural): 4 years

Academic Staff

Academic staff at the faculty consists of 135 people, including 23 professors with a DSc degree, 1 professor with a PhD degree, 55 associate professors with a PhD degree, 7 associate professors with a DSc degree, 6 lecturers with a PhD degree, 7 senior lecturers with a PhD degree, 15 senior lecturers, and 21 lecturers.

Educational facilities / resources

• Centre for Hydraulic Robotics of the Engineering Holding INTECHROS
• AT Consulting training centre (Big Data and Business Analytics)
• Atos (laboratory and Department of ERP-Systems and Business Processes)
• DSR laboratory
• Deutsche Telekom training centre
• Laboratory of artificial intellect and big data analysis opened in collaboration with PAO Sberbank
• Surf mobile application programming laboratory
• RELEKS training centre
• DOM.RF laboratory
• NLMK IT machine learning centre
• Mail.ru Group training centre (Project “Igrosfera”)

Key areas of research

1. Differential and integral equations and their applications
2. Artificial intelligence, machine learning, and data analysis:
   • Computer vision systems
   • Decision support systems
   • Natural language processing, speech recognition
   • Predictive analytics
   • Processing and analysing big data
   • Multi-agent systems and their applications
   • Intelligent information systems and the technologies for their development
3. Software development and professional programming:
   • Parallel programming and concurrent computing
   • Mobile applications development
   • Web development
   • Database programming and design
   • Representation of graphical information and its processing in computer graphics systems
4. Bioinformatics
5. Development of computational methods for solving modern problems in the field of information technology, mechanics, control theory, forecasting, optimisation of complex technical devices and systems of various purposes
6. Robotics and microsystems
7. Adaptive automated systems of information processing and management of technological processes
8. Easily customisable algorithms for constructing robust control systems for uncertain objects, etc.
9. Symbolic information processing, dependency recovery, and clustering for heterogeneous data
10. Fuzzy modelling of complex systems and processes, development of knowledge bases for fuzzy production systems, formalisation of the mechanism of fuzzy inference
11. Functional representation of fuzzy logical operations, new families of triangular norms and conorms

International partner universities

• Tartu University (Estonia)
• Narxoz University (Almaty, Kazakhstan)
• Baylor University (Waco, USA)
• Osh State University (Kyrgyzstan)
• Lille University (France)
• Albert Ludwig University (Freiburg, Germany)
• University of Leon (Spain)
• King Juan Carlos University (Madrid, Spain)
• Ataturk University (Erzurum, Turkey)
• University of Marmara (Istanbul, Turkey)
• Dokuz Eylül University (Izmir, Turkey)
• Eskisehir Osmangazi University (Turkey)
• Akdeniz University (Turkey)
• Katip Celebi University (Izmir, Turkey)
• University of West Attica (Athens, Greece)
• Qingdao University (People's Republic of China)
• Sanya University (People's Republic of China)
• Martin Luther University (Halle-Wittenberg, Germany)
• Carl von Ossietzky University (Oldenburg, Germany), etc.

The faculty participates in joint programmes with the National University of Ireland (Maynooth, Ireland), with German universities in Halle and Oldenburg. In Oldenburg (Germany), employees and students from the Faculty of Applied Mathematics, Informatics, and Mechanics gave presentations at a workshop aimed at establishing new contacts between the two universities.

The Faculty of Applied Mathematics, Informatics, and Mechanics took part in the international E3M Tempus project “Assessment of Cooperation in Education Infrastructure as a Professional Competence Development Mechanism”. The main goal of the project was to facilitate the process of reforming and modernisation of the system of higher education in the Russian Federation.

Using the grants of the Russian Foundation for Basic Research, the faculty holds annually the international conference “Current issues in applied mathematics, informatics, and mechanics”. Among its participants are invited international researchers and lecturers (Poland, Mexico, Colombia, Uzbekistan, Republic of Bashkortostan, Azerbaijan, Turkey, etc.).

Lecturers and researchers from the faculty give lectures at foreign universities (Germany, Poland, Mexico, Bulgaria).

The Head of the Department of ERP-Systems and Business Processes at the Faculty of Applied Mathematics, Informatics, and Mechanics of Voronezh State University, Jörg Becker, is an Honorary Doctor of VSU, Vice-Rector for strategic planning and a Quality Assurance Manager of Westfälische Wilhelms-Universität Münster (Münster, Germany), and Honorary Professor of the Higher School of Economics.

International cooperation in the area of education

• The faculty trains international undergraduate and postgraduate students: 55 international undergraduate and postgraduate students are currently studying at the faculty (Lebanon, Zimbabwe, Congo, Vietnam, Ukraine, Belarus, Turkmenistan, etc.).
• International students complete short-term (1-2 weeks) and long-term (semester or year) internships at the Faculty of Applied Mathematics, Informatics, and Mechanics (Kyrgyz Republic, Greece, Germany, etc.).
• Students from the faculty complete programmes and internships at leading international universities (Austria, Spain, Germany, Ireland, China, USA, Sweden, Estonia, etc.).
• The faculty offers programmes in English (Data Mining, Neural Networks, Linear Algebra, Models and Methods of Decision-making, Computer Systems Engineering, Designing Internet Systems, Technologies of Artificial Life, Artificial Intelligence, Numerical Methods, Basic Knowledge on Fractional Integro-differential Calculus and its Application of Natural Problems, etc.).