The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2020/2021. 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 7.5 hp 7.5
SF2863 Systems Engineering 7.5 hp 7.5

Recommended courses

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

Optional courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2561 The Finite Element Method 7.5 hp 7.5
SF2852 Optimal Control Theory 7.5 hp 7.5
SF2866 Applied Systems Engineering 7.5 hp 7.5
SF2935 Modern Methods of Statistical Learning 7.5 hp 7.5
SF2942 Portfolio Theory and Risk Management 7.5 hp 7.5
SF2956 Topological Data Analysis 7.5 hp 7.5
SF2975 Financial Derivatives 7.5 hp 7.5
SF2567 Project Course in Scientific Computing 7.5 hp 3.7 3.8
SF2524 Matrix Computations for Large-scale Systems 7.5 hp 7.5
SF2957 Statistical Machine Learning 7.5 hp 7.5
SF2980 Risk Management 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 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 7.5 hp 7.5
SF2565 Program Construction in C++ for Scientific Computing 7.5 hp 3.5 4.0
SF2567 Project Course in Scientific Computing 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 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 7.5 hp 7.5
SF2957 Statistical Machine Learning 7.5 hp 7.5

Track, Financial Mathematics (FMIA)

Courses (FMIA)

Mandatory courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2942 Portfolio Theory and Risk Management 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.

At least 30 cr need to be studied on the track: 15 cr compulsory courses + 15 cr of the conditionally elective courses.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
SF2975 Financial Derivatives 7.5 hp 7.5
SF2980 Risk Management 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 7.5 hp 7.5
SF2866 Applied Systems Engineering 7.5 hp 7.5
SF2832 Mathematical Systems Theory 7.5 hp 7.5
SF2863 Systems Engineering 7.5 hp 7.5