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Applied Mathematics
3.113.00
Applied Mathematics
– apply knowledge and understanding to solve problems of synthesis and analysis of simulated systems;
– design, explore, and debug software and network equipment for problems of mathematical modeling. – search for information in various sources for solving specialty problems;
– work effectively both individually and within a team;
– carry out relevant research and apply their skills at research problems.
Qualification awarded
: Master of Science in Applied Mathematics
Entry year: 2017
Program duration: 1 year 9 months
Number of credits: 120 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: Second (Master) level, 8-th level of NQF, EHEA second Cycle
Field(s) of study: Mathematics and statistics
Specific admission requirements: No
Specific arrangements for recognition of prior learning: Given that previous level was obtained in another country, it requires nostrification, which is done by Lviv Polytechnic. There are no recognition rules for non-formal and formal education.
Qualification requirements and regulations, including graduation requirements: Full accomplishment of educational and professional program and qualification thesis
Characteristics of the educational program:
Gained competence: Educational and professional and professional program is based on public position and results of research in area of “Applied Mathematics” and is focused on ability to build and explore complex mathematical models (including specialized) in professional activity; ability to construct and use modern computational methods for study of such models; creation and use of modern software products that are used for collecting and processing information.
– knowledge and understanding of scientific and mathematical principles underlying mathematical modeling;
– professional knowledge of general theory of systems; base of analytical, numerical and stochastic approaches to system model study; information technologies of collecting and storing information; software algorithms and their implementation in studies using computational experiment;
– knowledge and skills for data collection, processing and modeling (including use of computational experiment) processes and phenomena;
– knowledge of current state of new technologies in the field of mathematical modeling.
– ability to impact received assessment and recommended solutions in social, economic, and environmental context;– professional knowledge of general theory of systems; base of analytical, numerical and stochastic approaches to system model study; information technologies of collecting and storing information; software algorithms and their implementation in studies using computational experiment;
– knowledge and skills for data collection, processing and modeling (including use of computational experiment) processes and phenomena;
– knowledge of current state of new technologies in the field of mathematical modeling.
– apply knowledge and understanding to solve problems of synthesis and analysis of simulated systems;
– design, explore, and debug software and network equipment for problems of mathematical modeling. – search for information in various sources for solving specialty problems;
– work effectively both individually and within a team;
– carry out relevant research and apply their skills at research problems.
Mode of study: full
Academic mobility:
Work placement(s):
Programme director: Prof., dr. of science Kosrtobiy Petro Petrovych, cell +38 (067) 679-21-86, email: Petro.Kostrobi@gmail.com
Occupational profiles of graduates: Researcher in Mathematical Modeling and Applied Software
Access to further studies: Possibility of further study to achieve Ph.D.
Other program features:
Institute: Institute of Applied Mathematics and Fundamental Sciences