The programme overview is adopted 2026-02-19 by Dean of Education.

• AUTUMN TERM

  • Study period 1

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EEN100 Statistics and machine learning in high dimensions	Oral examination 6 credits	A
      EEN100 Statistics and machine learning in high dimensions	Project 1.5 credits	A	S
      FFR105 Stochastic optimization algorithms	Examination 7.5 credits	D	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	B	E	Mon 26/10-2026 am J	Tue 05/01-2027 am J Thu 19/08-2027 pm J
      KMG060 Systems biology	Examination 7.5 credits	C	S	Tue 27/10-2026 am J	Thu 07/01-2027 pm J Wed 25/08-2027 pm J
      MVE066 Topics in engineering mathematics	Written and oral assignments 7.5 credits		E
      MVE188 Computational methods for Bayesian statistics	Project 2 credits
      MVE188 Computational methods for Bayesian statistics	Examination 5.5 credits		S	Sat 24/10-2026 am J	Thu 07/01-2027 am J
      MVE405 Individual project in mathematics and mathematical statistics	Written and oral assignments 15 credits		E
      TMA265 Numerical linear algebra	Examination 7.5 credits		E	Tue 27/10-2026 pm J	Thu 07/01-2027 pm J
      TMA401 Functional analysis	Examination 7.5 credits		E	Wed 28/10-2026 am J	Mon 04/01-2027 pm J
      TME235 Mechanics of solids	Examination 7.5 credits	C+	E	Wed 28/10-2026 pm J_DATA	Mon 04/01-2027 pm J_DATA Thu 26/08-2027 pm J_DATA
      TMS165 Stochastic calculus	Examination 7.5 credits		E	Tue 27/10-2026 am J	Tue 05/01-2027 am J
      TMV101 Integration theory	Oral examination 7.5 credits		E

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MVE386 Project course in mathematical and statistical modelling	Project 7.5 credits		E

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      DAT450 Machine learning for natural language processing	Written and oral assignments 7.5 credits	A	S
      EEN020 Computer vision	Project 3 credits	C
      EEN020 Computer vision	Written and oral assignments 4.5 credits	C	S
      ENM140 Game theory and rationality	Project 7.5 credits	A	E
      MVE080 Scientific visualization	Written and oral assignments 7.5 credits		E
      MVE095 Options and mathematics	Examination 7.5 credits		E	Sat 16/01-2027 am J	Fri 02/04-2027 pm J
      MVE140 Foundations of probability theory	Examination 7.5 credits		E	Sat 16/01-2027 am J	Fri 02/04-2027 am J
      MVE170 Basic stochastic processes	Examination 7.5 credits		E	Mon 11/01-2027 pm J	Wed 31/03-2027 am J
      MVE190 Statistical learning with regression models	Examination 7.5 credits		E	Tue 12/01-2027 pm J	Thu 01/04-2027 pm J
      MVE510 Introduction to bioinformatics	Examination 5 credits	B+		Thu 14/01-2027 am J	Wed 31/03-2027 am J Fri 27/08-2027 am J
      MVE510 Introduction to bioinformatics	Laboratory 2.5 credits	B+	S
      SJO955 Introduction to law	Examination 7.5 credits	A	E	Wed 13/01-2027 am J INSP	Fri 02/04-2027 am J INSP Tue 24/08-2027 pm J INSP
      TIF155 Dynamical systems	Examination 7.5 credits	B	E	Thu 14/01-2027 am J	Wed 31/03-2027 am J Wed 18/08-2027 am J

• Diploma thesis

  Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
  MVEX60 Master's thesis in Mathematics	Diploma thesis (part A) 30 credits		*
  MVEX03 Master's thesis in Mathematics	Diploma thesis 30 credits		*
  MVEX60 Master's thesis in Mathematics	Diploma thesis (part B) 30 credits		*

• 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.
• S: Final grade. All module grades are reported before the final grade for the course can be reported.
• E: The only module in the course. Module grade and grade for the course are reported at the same time.
• *: The module includes education in another period