Year 1
Programme overview for year 2026/2027
The programme overview is adopted 2026-02-19 by Dean of Education.
AUTUMN TERM
Study period 1
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)FFR105 Stochastic optimization algorithms Examination 7.5 credits E - Wed 28/10-2026 pm J
- Thu 07/01-2027 am J
- Thu 26/08-2027 am J
FFR135 Artificial neural networks Examination 7.5 credits E - Mon 26/10-2026 am J
- Tue 05/01-2027 am J
- Thu 19/08-2027 pm J
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)EEN100 Statistics and machine learning in high dimensions Oral examination 6 credits 1), 2) EEN100 Statistics and machine learning in high dimensions Project 1.5 credits S, 1), 2) KMG060 Systems biology Examination 7.5 credits S, 1), 2) - Tue 27/10-2026 am J
- Thu 07/01-2027 pm J
- Wed 25/08-2027 pm J
RRY025 Image processing Examination 7.5 credits E, 1), 2) - Thu 29/10-2026 pm J
- Tue 05/01-2027 am J
- Fri 20/08-2027 pm J
TIF160 Humanoid robotics Project 7.5 credits E, 1), 2) TIF295 Experimental methods in modern physics Project 3 credits E, 1), 2) TIF430 Quantum mechanics Oral examination 4.5 credits E, 1), 2) TIN093 Algorithms Examination 7.5 credits E, 1), 2) - Mon 26/10-2026 pm J
- Thu 26/08-2027 pm J
TMA883 High performance computing Written and oral assignments 7.5 credits E, 1), 2) TMA947 Nonlinear optimisation Laboratory 1.5 credits 1), 2) TMA947 Nonlinear optimisation Examination 6 credits S, 1), 2) - Mon 26/10-2026 pm J
- Tue 05/01-2027 am J
TMS165 Stochastic calculus Examination 7.5 credits E, 1), 2) - Tue 27/10-2026 am J
- Tue 05/01-2027 am J
Study period 2
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)FFR120 Simulation of complex systems Project 7.5 credits E TIF155 Dynamical systems Examination 7.5 credits E - Thu 14/01-2027 am J
- Wed 31/03-2027 am J
- Wed 18/08-2027 am J
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)DAT450 Machine learning for natural language processing Written and oral assignments 7.5 credits S ENM140 Game theory and rationality Project 7.5 credits E, 1), 2) FKA122 Computational physics Project 7.5 credits E, 1), 2) MTF073 Computational fluid dynamics: The finite volume method (CFD) Written and oral assignments (part A) 1.5 credits 1), 2) MTF073 Computational fluid dynamics: The finite volume method (CFD) Written and oral assignments (part B) 1.5 credits 1), 2) MTF073 Computational fluid dynamics: The finite volume method (CFD) Written and oral assignments (part C) 1.5 credits 1), 2) MTF073 Computational fluid dynamics: The finite volume method (CFD) Examination 3 credits S, 1), 2) - Fri 15/01-2027 am J
- Fri 02/04-2027 pm J
- Mon 16/08-2027 pm J
MVE095 Options and mathematics Examination 7.5 credits E, 1), 2) - Sat 16/01-2027 am J
- Fri 02/04-2027 pm J
TDA251 Algorithms, advanced course Project 7.5 credits E, 1), 2) TDA507 Computational methods in bioinformatics Written and oral assignments 7.5 credits E, 1), 2) TIF181 Science, innovation and entrepreneurship Project 7.5 credits E, 1), 2)
SPRING TERM
Study period 3
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)FFR110 Computational biology Examination 7.5 credits E Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)DAT675 Artificial intelligence for molecules Written and oral assignments 3 credits DAT675 Artificial intelligence for molecules Project 4.5 credits S MVE155 Statistical inference Examination 7.5 credits E, 1) MVE220 Financial risk Examination 7.5 credits E TDA206 Discrete optimization Examination 7.5 credits E TDA233 Algorithms for machine learning and inference Written and oral assignments 3 credits TDA233 Algorithms for machine learning and inference Examination 4.5 credits S TIF150 Information theory for complex systems Examination 7.5 credits E, 1) TIF320 Computational materials and molecular physics Project 7.5 credits E, 1) TMA285 Financial derivatives and stochastic analysis Examination 7.5 credits E, 1) TME286 Interpretable artificial intelligence Project 7.5 credits E, 1)
Study period 4
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)MTF271 Turbulence modeling Written and oral assignments (part A) 1.5 credits 1) MTF271 Turbulence modeling Written and oral assignments (part B) 1.5 credits 1) MTF271 Turbulence modeling Examination 4.5 credits S, 1) - Contact examiner
MVE166 Linear and integer optimization with applications Examination (part A) 6 credits 1) - Mon 04/01-2027 pm J
MVE166 Linear and integer optimization with applications Project (part B) 1.5 credits S, 1) MVE441 Statistical learning for big data Project 1.5 credits 1) MVE441 Statistical learning for big data Take-home examination 6 credits S, 1) TIF106 Non-equilibrium processes in physics, chemistry and biology Examination 7.5 credits E, 1) - Fri 09/10-2026 am J
TIF360 Advanced machine learning with neural networks Project 7.5 credits E, 1) TME290 Autonomous robots Examination 7.5 credits E, 1) - Contact examiner
TMS016 Spatial statistics and image analysis Examination 7.5 credits S, 1) - Contact examiner
TMS089 Time series analysis with financial applications Examination (part A) 6 credits 1) TMS089 Time series analysis with financial applications Project (part B) 1.5 credits S, 1)
- 1 Compulsory elective: - (EEN100, ENM140, FKA122, KMG060, MTF073, MTF271, MVE095, MVE155, MVE166, MVE441, RRY025, TDA251, TDA507, TIF106, TIF150, TIF160, TIF181, TIF295, TIF320, TIF360, TIF430, TIN093, TMA285, TMA883, TMA947, TME286, TME290, TMS016, TMS089, TMS165) 22.5 credits of stated courses are required for the degree
- 2 Recommendation: The course is normally followed during the second year of the Masters programme (EEN100, ENM140, FKA122, KMG060, MTF073, MVE095, RRY025, TDA251, TDA507, TIF160, TIF181, TIF295, TIF430, TIN093, TMA883, TMA947, TMS165)
- DIG: Digital examination is an examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser.
- E: The only module in the course. Module grade and grade for the course are reported at the same time.
- S: Final grade. All module grades are reported before the final grade for the course can be reported.