Applied computer data analysisMaster specialty "Applied computer data analysis" with the degree of "Master of Applied Mathematics and Information Technologies" comprises the training of high professional qualification focused on methods of mathematical and computer modelling, information technology and intelligent decision support system for the development and research of models in information systems, as well as specializing in the development of efficient methods, algorithms and software for computer analysis. The level of specialists training in this master's program provides a good knowledge of advanced mathematical and computational methods, as well as specialized software to solve computer data analysis problems in various areas. Preparation of a master's degree program is carried out based on programs and materials, specifically designed by leading European universities from Belgium, Austria, Germany, Portugal, the Czech Republic within the framework of the international project TEMPUS. Master's graduates work for IT-companies whose activities are related to the rapidly developing areas – data mining, as well as in research institutions. Academic plan of the specialty: | List of academic disciplines | Total hours | Classroom hours | 1 | Statistical Methods of Data Analysis | 172 | 68 | 2 | Mathematical modeling and optimization of complex systems | 172 | 68 | 3 | Numerical methods and software for computer modeling and analysis | 188 | 68 | 4 | Computer analysis of the data using the R language | 112 | 54 | 5 | Methods of finding and analyzing data dependencies | 112 | 54 | 6 | The methods of statistical analysis of complex data | 170 | 66 | 7 | Elective courses: Statistical modeling and data analysis in economics and finance / Data Mining | 112 | 54 | | Preparation of Master's thesis | 744 | | | Practice | 162 | | In the 2016-2017 academic year, it is planned to establish a plan of admission to the budget form of training - 20 students on a paid form - 10 students. The Master’s Degree Program requires the first stage of higher education students in the following directions: - 1-31 03 Mathematical Sciences and Computer Science;
- 1-40 01 Software and mathematical tools;
- 1-40 02 01 Computers, systems and networks;
- 1-40 03 01 Artificial Intelligence;
- 1-40 05 01 Information systems and technologies (according to directions);
- 1-45 01 03 Telecommunications Network;
- 1-53 01 02 Automated systems for information processing;
- 1-53 01 03 Automatic control in technical systems;
- 1-53 01 07 Information Technology and Management in technical systems;
- 1-98 01 01-01 Computer security (mathematical methods and software systems).
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