The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2021/2022. For other academic years, different application codes and study periods may apply.

General courses

At least one of the conditionally elective courses among the general courses has to be studied.

The list of recommended courses is those that we think you will need for your future career.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2832 Mathematical Systems Theory 50171 7.5 hp 7.5
SF2863 Systems Engineering 50411 7.5 hp 7.5

Recommended courses

Course code and name Appl.code Scope P1 P2 P3 P4
DD2257 Visualization 50478 7.5 hp 7.5
DD2421 Machine Learning 50490 7.5 hp 7.5
DD2435 Mathematical Modelling of Biological Systems 50494 9.0 hp 6.0 3.0
SF2565 Program Construction in C++ for Scientific Computing 50486 7.5 hp 3.5 4.0
DD2434 Machine Learning, Advanced Course 50172 7.5 hp 7.5
SF1811 Optimization 50106 6.0 hp 6.0

Optional courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2561 The Finite Element Method 50480 7.5 hp 7.5
SF2852 Optimal Control Theory 50214 7.5 hp 7.5
SF2866 Applied Systems Engineering 50428 7.5 hp 7.5
SF2935 Modern Methods of Statistical Learning 50348 7.5 hp 7.5
SF2942 Portfolio Theory and Risk Management 50488 7.5 hp 7.5
SF2956 Topological Data Analysis 50489 7.5 hp 7.5
SF2975 Financial Derivatives 50558 7.5 hp 7.5
SF2567 Project Course in Scientific Computing 50484 7.5 hp 3.7 3.8
SF2524 Matrix Computations for Large-scale Systems 50477 7.5 hp 7.5
SF2957 Statistical Machine Learning 50604 7.5 hp 7.5
SF2980 Risk Management 50481 7.5 hp 7.5

Specialisations

Track, Computational Mathematics (COMA)

Courses (COMA)

Mandatory courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2524 Matrix Computations for Large-scale Systems 50477 7.5 hp 7.5

At least 3 conditionally elective course on the track have to be studied.
Among these 3 courses SF2521 or SF2561 need to be studied.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2561 The Finite Element Method 50480 7.5 hp 7.5
SF2565 Program Construction in C++ for Scientific Computing 50486 7.5 hp 3.5 4.0
SF2567 Project Course in Scientific Computing 50484 7.5 hp 3.7 3.8

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
SF2935 Modern Methods of Statistical Learning 50348 7.5 hp 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
SF2956 Topological Data Analysis 50489 7.5 hp 7.5
SF2957 Statistical Machine Learning 50604 7.5 hp 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
SF2942 Portfolio Theory and Risk Management 50488 7.5 hp 7.5

Among the conditionally elective courses at least one course from each year has to be studied: SF2943 or SF2930 and SF2975 or SF2980.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2975 Financial Derivatives 50558 7.5 hp 7.5
SF2980 Risk Management 50481 7.5 hp 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:
At least 7,5 cr of the conditionally elective courses among the general courses + at least 22,5 cr of the conditionally elective courses on the track = 30 cr.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2852 Optimal Control Theory 50214 7.5 hp 7.5
SF2866 Applied Systems Engineering 50428 7.5 hp 7.5
SF2832 Mathematical Systems Theory 50171 7.5 hp 7.5
SF2863 Systems Engineering 50411 7.5 hp 7.5