Speciality "Applied Mathematics and Computer Science" implements educational programs of higher education of the second degree (Master's degree), forming the knowledge and skills of scientific-pedagogical and scientific research work.
Professional activities in the field of applied mathematics and computer science include research, development and application of modern software, mathematical methods and models of objects, systems, processes and technologies, designed for calculations, analysis, and training solutions in all areas of the professional, economic, business, social, management activities in science, technology, medicine, education. Master's graduates are specialists in the field of constructing mathematical models in various fields, as well as in the field of computer science.
Individual training plan comprises independent research work under the guidance of the supervisor, which completed the preparation of a thesis. The main areas of research are: artificial intelligence, pattern recognition, image processing and analysis, information and computer technology; investigation of multidimensional stochastic processes describing the operation of the systems and queuing networks; application of queuing theory for the solution of engineering problems and optimize the functioning of telecommunications networks; Robust statistical analysis; stochastic financial analysis; asymptotic theory of differential equations; Computational Mathematics; methods of optimal control.
The content of the training modules has a review and discussion character. The graduate certification program also includes master's exams and tests. The program provides practical training on current research in the field of applied mathematics and computer science.
Duration of training along The Master’s Degree Program is 1 year.
Master specialty comprises the training of high professional qualification specialists focused on interdisciplinary research in the development and research of mathematical models in information systems and distributed heavily loaded networks, as well as specializing in the development of efficient algorithms (parallel, approximate) processing of large volumes of information, on the analysis and searching for dependencies stored in distributed data cluster and cloud systems.
The current level of training of specialists in this master's program provides a good knowledge of basic concepts and methods of mathematical modelling in a concrete subject area, as well as fluency in the latest instrumental methods and tools of complex information systems development.
Master's graduates work for companies whose activities are related to the development of highly services on the Internet, the creation of knowledge-based innovation systems used in commerce, industry and other fields.
Academic plan of the specialty:
| | List of academic disciplines | Total hours | Classroom hours |
| 1 | Modern methods of designing effective large amounts of data processing algorithms | 172 | 68 |
| 2 | Technology and computer systems processing large volumes of data | 172 | 68 |
| 3 | UNIX family Operating Systems | 188 | 68 |
| 4 | Script programming language (Python) | 112 | 54 |
| 5 | Technology design and development of high-oaded web-based systems | 112 | 54 |
| 6 | Word processing algorithms | 170 | 66 |
| 7 | Elective courses: Introduction to Machine Learning / Introduction to Information Retrieval / Introduction to linguistics and automatic text processing | 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:
| | Mathematical Sciences and Computer Science (code 1-31 03) |
| | Computer Science and Engineering (code 1-40) |
Master 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).
The purpose of the "Logistics Analytics" profiling is to train highly professional specialists focused on interdisciplinary research in the effective application of methods and tools for the analysis and planning of complex information and logistics systems. Logistics Analytics is characterized by the need to process large amounts of data to analyze and support decision-making on the formation and management of logistics systems. The level of training of specialists in this master's program provides good knowledge of algorithms, models and methods of developing logistics systems, fluency in the latest methods and technologies of data analysis and decision support tools. Graduates of this specialty will be in demand in organizations associated with solving logistical problems in leading scientific institutions, public and private companies. The curricula have been developed in cooperation with the well-known European Logistics Training Institution Molde University College (Norway) – Specialized University in Logistics under the Diku (Eurasia) International Programme. It is assumed that during the training, undergraduates will be able to complete an internship there. Due to the fact that specialists in this field are in demand not only in the Republic of Belarus, but also abroad, it is planned to teach a number of educational disciplines in English. There is a link to some study courses below.
Spring semester for 1'st year master students at BSU
Study Plan Logistics Analytics BSU