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Learning Opportunity: Mathematics and its Application

Mathematics and its Application

Course Information

Objective(s) of a study programme:

The aim of the Mathematics and its Application programme is to prepare broad-minded specialists with strong background and adequate skills for solving various practical tasks, optimization and data analysis issues for industry and business, as well as the skills for energy systems analysis and other areas.
Learning outcomes:

Graduates of the programme will be able to deal with simulation, optimization, data analysis issues; develop mathematical models; apply information technology; perform statistical analysis, cost optimization, process forecasting or risk assessments.
Graduates of Finance and Insurance Mathematics specialization will know the basic insurance and financial mathematics principles and techniques; will be able to meet the challenges arising from the economic and social fields; work with the basic statistical computer packages.
Graduates of Statistics in Biomedicine specialization will know and understand data analysis methods of biomedical research and be able to operate mathematical software packages.
Graduates of Mathematics in Power Engineering specialization will be able to apply mathematical models for solving issues in energy security, system reliability, and networked systems fields.
Graduates of Mathematics Teaching specialization will have a good mathematical background and know mathematical teaching methods.

Activities of teaching and learning:

Lectures, practical work, seminars, laboratory work, individual work, reading literature, solving problem tasks, preparation for lab work, midterm and exams.
Methods of assessment of learning achievements:
Knowledge and skills are evaluated using criteria-based study achievement assessment system of a 10 mark scale. Study results are evaluated during the semester through the intermediate exams (mid-term exams, practical, laboratory work) and the final exam. Final exams and mid-term exams are performed in the written form. The final evaluation consists of weighting marks of each assessment.


1. Financial and Insurance Mathematics;
2. Statistics in Biomedicine;
3. Mathematics in Power Engineering;
4. Teaching of Mathematics
Optional courses:

It is possible:
to deepen subject areas knowledge, choosing a specialized field of study subjects;
to choose a variety of related studies offered by university;
to choose free additional general subjects.

Distinctive features of a study programme:
It is possible to obtain a certificate of completion of related studies.

Reference Data

Education Level:
Thematic area:
Teaching Language:
Study Type:
Access requirements: 

Minimum education - Secondary



Provider Information

Provider Name: 
Vytautas Magnus University
Provider Type: 
Provider Contact Info: 

Provider phone number: +370-37-222739 Provider email: info@vdu.lt Provider URL: http://www.vdu.lt

Qualifications Awarded

Reference Data

Qualification Awarded:
Bachelor of Mathematics
Awarding body:

Vytautas Magnus University

Awarding body contact info:

Provider phone number: +370-37-222739 Provider email: info@vdu.lt Provider URL: http://www.vdu.lt

Course Locations

Reference Data

Course address:

Kauno m. sav. Kauno m. K. Donelaičio g. 58