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Mathematics

2020 08 21 Mathematics

About the programme

FacultyFaculty of Mathematics and InformaticsDuration2 years
Study field groupMathematical SciencesMode of studyFull-time
Study fieldMathematicsCredits120
Qualification degreedegree of Master of Mathematical SciencesAnnual tuition fee6 000 EUR for non-EU students / 5 641 EUR for EU students

* For applicants from non-EU/EFTA countries
** For applicants who do not need a Lithuanian visa and non-EU/EFTA applicants, if there is a Lithuanian embassy in their home country

The purpose of the Mathematics programme is to train qualified specialists who have advanced knowledge of pure and applied mathematics and strong problem-solving skills so that they can successfully tackle challenging scientific, industrial, economic problems. The graduates will be the professionals in modelling and decision making of different processes in industry and research.

Why this programme?

  • The strength of this programme is the universality of mathematics. Acquired methods can be applied in the fields of a wide range. The graduates can easily adapt in various business, trade, enterprise, IT, finance, insurance companies as well as in research, education institutions.

What's after?

  • 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.
  • Graduates can also pursue further studies at the doctoral level in Mathematics or Computer Sciences.
  • At least first level studies leading with a bachelor diploma are required.
  • English language proficiency - the level not lower than B2 (following the Common Framework of Reference for Language approved by the Council of Europe).
  • Foreigners from non-EU/EFTA countries are required to pass the OMPT-E exam with a score of at least 70%. The Admissions Committee evaluates the qualifications of applicants and invites them to a motivational interview only after receiving the OMPT-E exam results (with a score above 70%).

In addition, all applicants have to fulfil general admission requirements.

SubjectCredits
Semester 1 Autumn
Compulsory Courses20.0
Complementary Chapters of Functional Analysis10.0
Function Spaces5.0
Mathematical Writing at Higher Level5.0
Optional Courses10.0
Analytic Number Theory5.0
Integral Equations5.0
Numerical Methods for Differential Equations5.0
Probabilistic Combinatorics5.0
Semester 2 Spring
Compulsory Courses15.0
Abstract Algebra5.0
Partial Differential Equations10.0
Optional Courses15.0
Discrete Market Models5.0
Insurance Probability Risk Models5.0
Mathematics in Modern Finance5.0
Sample Surveys5.0
Stochastic Processes Theory5.0
Variational Methods for Nonlinear Phenomenons5.0
Semester 3 Autumn
Compulsory Courses25.0
Master Thesis Preparation10.0
Packages of Statistics5.0
Probability Theory and Mathematical Statistics10.0
Optional Courses5.0
Asymptotic Methods for Partial Differential Equations5.0
Dynamic Systems5.0
Graph Theory5.0
Mathematical Theory of Navier-Stokes Equations5.0
Stochastic Differential Equations5.0
Weak Convergence of Measures5.0
Semester 4 Spring
Compulsory Courses30.0
Master Final Thesis (Study field: Mathematics)25.0
Master Research Seminar5.0
 

*The supply of elective course might vary depending availability.

Study Programme Committee

Gediminas Stepanauskas

Head of the Study Programme Committee - Assoc. Prof. dr. Jonas Jankauskas

  • Assoc. Prof. Dr. Gintautas Bareikis;
  • Prof. Dr. Paulius Drungilas;
  • Prof. Dr. (HP) Ramūnas Garunkštis;
  • Assoc. Prof. Dr. Andrius Grigutis;
  • Assist. dr. Rita Juodagalvytė;
  • Assoc. Prof. Dr. Kristina Kaulakytė;
  • Prof. Dr. Pranas Katauskis;
  • Senior Researcher Dr. Daniele Ettore Otera;
  • Prof. Dr. (HP) Artūras Štikonas;
  • Marius Dundulis, Social Partner „Euromonitor Lietuva“;
  • Romualdas Zovė, Social Partner „Lietuvos bankas“;
  • Two student representatives.

 

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