The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2025/2026. For other academic years, different application codes and study periods may apply
General Courses
At least one of the conditionally elective courses SF2832, SF2863 and SF2812 among the general courses has to be studied, and also minimum one of the courses SF2527 and SF2524.
The conditionally elective courses can be studied during the first or second year.
Students from CTMAT who has taken SF1693 cannot take SF2527, and can choose to take SF2524 or not.
Mandatory SF2940 can be replaced by SF2944 (note: only one can be taken within the TTMAM programme).
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| AK2030 Theory and Methodology of Science (Natural and Technological Science) | 51258 | 4.5 credits | 4.5 | |||
| SA2001 Sustainable development and research methodology in mathematics | 51834 | 3.0 credits | 3.0 | |||
| SF2940 Probability Theory | 50309 | 7.5 credits | 7.5 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2527 Numerical Methods for Differential Equations I | 51861 | 7.5 credits | 3.0 | 4.5 | ||
| SF2524 Matrix Computations for Large-scale Systems | 51842 | 7.5 credits | 7.5 | |||
| SF2832 Mathematical Systems Theory | 51194 | 7.5 credits | 7.5 | |||
| SF2863 Systems Engineering | 50594 | 7.5 credits | 7.5 | |||
| SF2812 Applied Linear Optimization | 60860 | 7.5 credits | 7.5 |
Optional courses
Specialisations
Track, Computational Mathematics (COMA)
Courses (COMA)
Minimum 4 conditionally elective trackcourses should be studied during year 1 and 2.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2526 Numerical algorithms for data-intensive science | 61395 | 7.5 credits | 7.5 | |||
| SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning | 61394 | 7.5 credits | 4.0 | 3.5 | ||
| SF2528 Numerical Methods for Differential Equations II | 61393 | 7.5 credits | 3.5 | 4.0 | ||
| DD2365 Advanced Computation in Fluid Mechanics | 60241 | 7.5 credits | 7.5 |
Track, Computer Simulations for Science and Engineering (CSSE)
Courses (CSSE)
The programme is given in cooperation with KTH, TU Delft and TU Berlin.
There is a special application procedure regarding this track.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| AK2030 Theory and Methodology of Science (Natural and Technological Science) | 51258 | 4.5 credits | 4.5 | |||
| SA2001 Sustainable development and research methodology in mathematics | 51834 | 3.0 credits | 3.0 | |||
| SF2940 Probability Theory | 50309 | 7.5 credits | 7.5 | |||
| SF2524 Matrix Computations for Large-scale Systems | 51842 | 7.5 credits | 7.5 |
Conditionally elective course shall be chosen after agreement with the director of the programme.
In the first study year, out of the conditionally elective courses, 3 courses must be selected. In the second study year, at least 30 credits out of the conditionally elective courses must be selected.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2257 Visualization | 50373 | 7.5 credits | 7.5 | |||
| SF2526 Numerical algorithms for data-intensive science | 61395 | 7.5 credits | 7.5 | |||
| SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning | 61394 | 7.5 credits | 4.0 | 3.5 | ||
| SF2822 Applied Nonlinear Optimization | 60873 | 7.5 credits | 7.5 |
Track, Mathematics of Data Science (DAVE)
Courses (DAVE)
Compulsory courses on the track (15 cr) + conditionally elective courses (15 cr) = 30 cr.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2955 Computer Intensive Methods in Mathematical Statistics | 61396 | 7.5 credits | 7.5 |
At least two conditionally elective courses has to be studied on the track. *One of the conditionally elective courses on the track has to be SF2930 or SF2943.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2526 Numerical algorithms for data-intensive science | 61395 | 7.5 credits | 7.5 | |||
| SF2930 Regression Analysis* | 60237 | 7.5 credits | 7.5 | |||
| DD2352 Algorithms and Complexity | 60319 | 7.5 credits | 3.0 | 4.5 | ||
| SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning | 61394 | 7.5 credits | 4.0 | 3.5 | ||
| SF2943 Time Series Analysis* | 60326 | 7.5 credits | 7.5 |
Track, Financial Mathematics (FMIA)
Courses (FMIA)
At least 30 cr need to be studied on the track: 15 cr compulsory courses + 15 cr of the conditionally elective courses.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2701 Financial Mathematics, Basic Course | 61253 | 7.5 credits | 7.5 |
Among the conditionally elective courses at least one course from each year has to be studied. However in year 1 either SF2930 or SF2943 has to be studied. Note that if you plan to study SF2975 in year 2 it is strongly recommended to study SF2971 in year 1.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2930 Regression Analysis | 60237 | 7.5 credits | 7.5 | |||
| SF2971 Martingales and Stochastic IntegralsRequired for SF2975 | 61404 | 7.5 credits | 7.5 | |||
| SF2943 Time Series Analysis | 60326 | 7.5 credits | 7.5 |
Track, Optimization and Systems Theory (OPST)
Courses (OPST)
At least 30 cr of the conditionally elective courses need to be studied in the field optimization and systems theory.
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2866 Applied Systems Engineering | 50555 | 7.5 credits | 7.5 | |||
| SF2832 Mathematical Systems Theory | 51194 | 7.5 credits | 7.5 | |||
| SF2863 Systems Engineering | 50594 | 7.5 credits | 7.5 | |||
| SF2812 Applied Linear Optimization | 60860 | 7.5 credits | 7.5 | |||
| SF2842 Geometric Control Theory | 60934 | 7.5 credits | 7.5 | |||
| SF2822 Applied Nonlinear Optimization | 60873 | 7.5 credits | 7.5 |