MATHEMATICAL & COMPUTER MODELLING
BACHELOR’S
Degree
Bachelor of Mathematical and Computer Modelling
Program length
4 years
ECTS
240
Threshold score
100
Level of English
A2 (Pre-Intermediate)
Webinar
The program aims to produce highly qualified specialists in mathematical computer modelling with innovative problem-solving skills in the area of their expertise. Also students will be to apply the acquired knowledge in the analysis of various problems arising in physics, economics, finance, biology, computer science and engineering.
Students will have an opportunity to take part in scientific projects to prepare students for successful entry to local and international Master or PhD programs in mathematical computer modelling or mathematics and statistics.
Final year students can apply for “Beta career” and work as a full-time intern during the fall term.
- Apply the underlying unifying structures of mathematics (i.e. matrices, sets, relations and functions, logical structure, groups, fields, graphs, and etc.) and the relationships among them on paper and oral exams based on theoretical questions;
- Demonstrate logical skills to programming in a variety of languages (i.e. R, Python, MATLAB, etc.) achieved by laboratory works and exams based on problem-solving;
- Reveal deep knowledge in the Differential Equations field by solving applied problems;
- Design different types of mathematical models and simulations including dynamical systems, statistical models, differential equations, game theoretic models by learning fundamental mathematical courses (Calculus, Ordinary differential equations, Numerical Methods, Statistics, etc.) and practical Simulations course;
- Apply methods of mathematical and computer modelling for solving scientific, applied, production and technological problems by using professional software, computer graphics, visualisation, and developing own software packages;
- Show basic knowledge in Financial Mathematics, Applications of Number Theory, Data management and analysis by learning elective courses;
- Analyse collected information and present the results of research achieved through work on individual and group projects.
| Core courses:
Numerical methods | Elective courses:
Number theory |
Graduates can be employed at banks and insurance companies, at consulting firms, at educational and scientific institutions, and other companies using the methods of mathematical modelling, computer simulations and applied mathematics in their work.
The program aims to produce highly qualified specialists in mathematical computer modelling with innovative problem-solving skills in the area of their expertise. Also students will be to apply the acquired knowledge in the analysis of various problems arising in physics, economics, finance, biology, computer science and engineering.
Students will have an opportunity to take part in scientific projects to prepare students for successful entry to local and international Master or PhD programs in mathematical computer modelling or mathematics and statistics.
Final year students can apply for “Beta career” and work as a full-time intern during the fall term.
- Apply the underlying unifying structures of mathematics (i.e. matrices, sets, relations and functions, logical structure, groups, fields, graphs, and etc.) and the relationships among them on paper and oral exams based on theoretical questions;
- Demonstrate logical skills to programming in a variety of languages (i.e. R, Python, MATLAB, etc.) achieved by laboratory works and exams based on problem-solving;
- Reveal deep knowledge in the Differential Equations field by solving applied problems;
- Design different types of mathematical models and simulations including dynamical systems, statistical models, differential equations, game theoretic models by learning fundamental mathematical courses (Calculus, Ordinary differential equations, Numerical Methods, Statistics, etc.) and practical Simulations course;
- Apply methods of mathematical and computer modelling for solving scientific, applied, production and technological problems by using professional software, computer graphics, visualisation, and developing own software packages;
- Show basic knowledge in Financial Mathematics, Applications of Number Theory, Data management and analysis by learning elective courses;
- Analyse collected information and present the results of research achieved through work on individual and group projects.
Core courses: Numerical methods |
Elective courses: Number theory |
Graduates can be employed at banks and insurance companies, at consulting firms, at educational and scientific institutions, and other companies using the methods of mathematical modelling, computer simulations and applied mathematics in their work.
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