The programme overview is adopted 2025-02-20 by Dean of Education.

• AUTUMN TERM

  • Study period 1

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      MVE295 Complex analysis	Examination 6 credits
      MVE295 Complex analysis	Written and oral assignments 1.5 credits		S
      TMS150 Stochastic data processing and simulation	Project 7.5 credits		E

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT038 Data structures and algorithms	Laboratory 3 credits
      DAT038 Data structures and algorithms	Examination 4.5 credits		S
      MVE550 Stochastic processes and Bayesian inference	Examination 6 credits
      MVE550 Stochastic processes and Bayesian inference	Written and oral assignments 1.5 credits		S

• SPRING TERM

  • Study period 3

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      CTE032 History of technology	Examination 7.5 credits		E, 1)
      MVE290 Fourier methods	Examination 6 credits
      MVE290 Fourier methods	Written and oral assignments 1.5 credits		S

  • Study period 4

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      MVE162 Ordinary differential equations and mathematical modelling	Written and oral assignments 0 credits
      MVE162 Ordinary differential equations and mathematical modelling	Examination 7.5 credits		S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits		2)
      DAT566 Introduction to data science and AI	Examination 3.5 credits		S, 2)
      EEN071 Introduction to biomedical engineering	Laboratory 1.5 credits		2)
      EEN071 Introduction to biomedical engineering	Project 1.5 credits		2)
      EEN071 Introduction to biomedical engineering	Examination 4.5 credits		S, 2)
      MVE166 Linear and integer optimization with applications	Examination (part A) 6 credits
      MVE166 Linear and integer optimization with applications	Project (part B) 1.5 credits		S
      MVE745 Research project in mathematics	Project 7.5 credits		E
      SEE150 Environmental economics	Examination 7.5 credits		E, 2), 3), 4)
      SSY310 Automatic control	Project 3 credits		2)
      SSY310 Automatic control	Examination 4.5 credits		S, 2)

• 1 The course has theme MTS 7.5 credits
• 2 Recommendation: The course can be used to fulfill the requirement on compulsory elective courses during the third year (DAT566, EEN071, SEE150, SSY310)
• 3 The course has theme Environment 3 credits
• 4 The course has theme MTS 3 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.