Students admitted to the Bachelor´s Programme in Mathematics prior to autumn 2015 are required to study according to the structure below.
Note that all courses marked with * have been replaced by corresponding courses with other course codes. The updated list of courses is available in the left menu.
Compulsory courses, 52.5 credits
| Code | Course | Credits |
|---|---|---|
| MATA14* | Analysis 1 | 15 |
| MATA15* | Algebra 1 | 15 |
| MATB11* | Linear Algebra | 7.5 |
| MATB15* | Analysis in Several Variables | 15 |
Alternative-compulsory courses, 52.5 credits
Courses comprising 52.5 credits should be elected among the following courses (or corresponding):
Mathematics
| Code | Course | Credits |
|---|---|---|
| MATB13* | Discrete Mathematics | 7.5 |
| MATB16* | Linear Analysis | 7.5 |
| MATC12 | Ordinary Differential Equations 1 | 7.5 |
| MATM11* | Algebraic Structures | 7.5 |
| MATM12 | Analytic Functions | 15 |
| MATM15* | Number Theory | 7.5 |
Mathematical Statistics
| Code | Course | Credits |
|---|---|---|
| MASA01* | Mathematical statistics, basic course | 15 |
| MASC01 | Probability Theory | 7.5 |
| MASC02 | Inference Theory | 7.5 |
| MASC03* | Markov Processes | 7.5 |
| MASC04* | Stationary Stochastic Processes | 7.5 |
| MASC05 | Design of Experiments | 7.5 |
Numerical Analysis
| Code | Course | Credits |
|---|---|---|
| NUMA22* | Computational Tools in Mathematics | 7.5 |
| NUMA11* | Numerical Linear Algebra | 7.5 |
| NUMA12* | Numerical Approximation | 7.5 |
Elective courses, 60 credits
Courses comprising at least 30 credits in a subject other than mathematics, mathematical statistics and numerical analysis shall be included in the programme, while the remaining 30 credits are completely optional. Students are recommended to read more courses within the mathematical disciplines and focus on a direction of interest as a preparation for the Bachelor´s thesis.
Bachelor's Degree Project, 15 credits
Depending on courses chosen earlier in the programme, one may write the degree project in mathematics, statistics or numerical analysis:
The course requirements for each course are specified in the official syllabi.
Recommended study path:
Here you can find an overview of the courses/modules in the recommended order.