Mode of studies and duration: full-time (2 years)
Study programme volume: 120 credits
Language(s) of instruction: Lithuanian/ English
Tuition Fees:
Qualification degree awarded: Master of Mathematical Sciences in Mathematics
Admission requirements: Bachelor's degree or equivalent qualification
The purpose of Mathematics programme is to train qualified specialists who have advanced knowledge in pure and applied mathematics as well as strong problem solving skills so that they can successfully tackle challenging scientific, industrial, economic problems.
Why Mathematics?
Career opportunities
Graduates will be able to work in science and education institutions, high-technology industries, agencies of data analysis and social investigations, management institutions. Graduates will also be able to pursue a career in any other sphere, where their mathematical knowledge, analytical skills and ability to use specialized software are needed
International mobility
Students can participate in ERASMUS+ mobility programme which gives an opportunity to study at VU’s Partner University or do internship abroad.
ADMISSION REQUIREMENTS AND ADMISSION CRITERIA
COURSE INFORMATION
Course units (modules) |
Credits |
YEAR I |
60 |
SEMESTER 1 |
30 |
Compulsory subjects (units) |
18 |
Supplementary Chapters in Functional Analysis |
6 |
Mathematical Writing at Higher Level |
6 |
Function Spaces |
6 |
Optional subjects (units) |
12 |
Probabilistic Combinatorics |
6 |
Analytic Number Theory |
6 |
Integral Equations |
6 |
Mathematics in modern finance |
6 |
SEMESTER 2 |
30 |
Compulsory subjects (units) |
18 |
Partial Differential Equations |
6 |
Probability Theory and Mathematical Statistics |
6 |
Parallel Computing |
6 |
Optional subjects (units) |
12 |
Dynamical Systems |
6 |
Stochastic Processes Theory |
6 |
Stochastic Differential Equations |
6 |
Numerical Methods for Differential Equations |
6 |
YEAR II |
60 |
SEMESTER 3 |
30 |
Compulsory subjects (units) |
12 |
Packages of Statistics |
6 |
Abstract Algebra |
6 |
Optional Courses |
18 |
Fundamentals of Scientific Research. Problems of Number Theory and Probability Theory |
6 |
Fundamentals of Scientific Research. Models of Mathematical Physics |
6 |
Insurance Probability Risk Models |
6 |
Weak Convergence of Measures |
6 |
Graph Theory |
6 |
Mathematical Theory of Navier-Stokes Equations |
6 |
Variational Methods for Nonlinear Phenomenons |
6 |
Asymptotic Methods for Partial Differential equations |
6 |
SEMESTER 4 |
30 |
Compulsory subjects (units) |
25 |
Master’s Thesis |
25 |
Optional Courses |
5 |
Master’s Thesis Seminar in Probability Theory and Number Theory |
5 |
Master’s Thesis Seminar in Differential Equations |
5 |
Study Programme Description: will be available soon.
Key learning outcomes
A holder of a Master's degree in Mathematics has a good insight into mathematical propositions, is able to prove them and analyze their logical relations. He/she has good working abilities to create deterministic or stochastic mathematical model of a real process, to analyze and interpret it and present conclusions. He/she has skills in using computer facilities and information technologies. He/she is able to work creatively and is open to further education and development of his/her skills.
To be uploaded.
Do you have more questions? Please contact us:
Study Programme Committee
Chair of the study Programme Committee - prof. dr. Artūras Štikonas
Study programme is implemented by: