| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Tutorials: 45 Lecture: 30 |
7 | Exam | Obligatory |
|
Laboratory classes: 30 Lecture: 30 |
6 | Graded assignment | Obligatory |
|
Laboratory classes: 30 Lecture: 30 |
7 | Graded assignment | Obligatory |
| Sum | 195 | 20 |
Study programme Applied Mathematics
Graduates of the second-cycle Applied Mathematics program possess advanced, in-depth, and systematic knowledge of mathematics (including mathematical statistics), enabling a thorough understanding and creative application of mathematical methods in the analysis of complex theoretical and practical problems using IT techniques and tools. During their studies, students choose one of three specializations: Risk Management in Finance and Insurance, Data Analysis, or Applications of Mathematics in the Sciences.
The educational process encompasses not only advanced mathematical theories but also a broad spectrum of their applications in finance, insurance, data analysis, and other fields of study. Graduates can independently and critically select, modify, and integrate advanced mathematical, statistical, and IT methods to solve unique and complex problems, depending on their chosen specialization.
Graduates of the Risk Management in Finance and Insurance program possess in-depth competencies in the analysis and assessment of financial risk, the valuation of financial instruments, the calculation of insurance premiums and reserves, and the construction and optimization of investment portfolios. They understand the principles of financial markets and advanced investment strategies, including advanced concepts of modern ruin theory.
Graduates in the Data Analysis specialization possess in-depth knowledge and skills in extracting knowledge from data, including the use of advanced statistical methods, machine learning algorithms, and IT tools for analyzing large and complex data sets. They can independently formulate analytical and decision-making conclusions relevant to business, research, and decision-making processes.
Graduates in the Applications of Mathematics in the Exact Sciences specialization possess in-depth knowledge and skills in conducting advanced mathematical reasoning, as well as correctly formulating and solving problems related to modeling phenomena considered in the exact and natural sciences. This mathematical knowledge is complemented by a wide range of applications, including the ability to use IT tools to solve theoretical and practical mathematical problems.
Graduates in Applied Mathematics demonstrate a high level of independence, responsibility, and awareness of the limitations of the methods used. They can critically evaluate obtained results, interpret them in a broader context, and communicate them precisely and clearly, even in an interdisciplinary environment. Graduates are prepared to work in project teams, including taking on roles requiring initiative, independence and responsibility for the tasks carried out.
Chair of the Programme Board: dr Artur Wachowicz, prof. uczelni
View full programme description
The programme was approved by Senate Resolution No. 29/2026 of 25 February 2026.
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Tutorials: 45 |
2 | Graded assignment | Obligatory subjects to choose from |
|
Tutorials: 30 Lecture: 30 |
6 | Exam | Obligatory |
|
Tutorials: 40 Lecture: 30 |
7 | Exam | Obligatory |
|
Laboratory classes: 30 Lecture: 30 |
5 | Graded assignment | Obligatory |
| Sum | 235 | 20 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Laboratory classes: 30 Lecture: 25 |
5 | Graded assignment | Obligatory |
|
Laboratory classes: 30 Lecture: 30 |
7 | Graded assignment | Obligatory |
|
Tutorials: 30 Lecture: 30 |
6 | Exam | Obligatory |
|
Lecture: 30 |
2 | Graded assignment | Obligatory |
| Sum | 205 | 20 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Project work: 90 Lecture: 25 |
10 | Graded assignment | Obligatory specialization courses |
| Sum | 115 | 10 |
| Course | Number of hours | ECTS points | Form of verification | Obligatory |
|---|---|---|---|---|
|
Seminar: 45 |
3 | Graded assignment + exam | Obligatory |
|
Lecture: 20 |
2 | Graded assignment | Obligatory |
|
Lecture: 30 |
3 | Graded assignment | Obligatory |
|
Lecture: 20 |
2 | Graded assignment | Obligatory |
|
Diploma Thesis: 0 |
20 | Pass | Obligatory subjects to choose from |
| Sum | 115 | 30 |