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			Thu 30/10-2025 pm J	Thu 08/01-2026 pm J Fri 28/08-2026 pm J
      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	C+
      DAT038 Data structures and algorithms	Examination 4.5 credits	C+	S	Thu 15/01-2026 pm J	Thu 04/06-2026 pm J Thu 20/08-2026 pm J
      MVE550 Stochastic processes and Bayesian inference	Examination 6 credits	B		Mon 12/01-2026 am J	Fri 10/04-2026 am J Mon 24/08-2026 am J
      MVE550 Stochastic processes and Bayesian inference	Written and oral assignments 1.5 credits	B	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	A	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	B	2)
      DAT566 Introduction to data science and AI	Examination 3.5 credits	B	S, 2)
      EEN071 Introduction to biomedical engineering	Laboratory 1.5 credits	A+	2)
      EEN071 Introduction to biomedical engineering	Project 1.5 credits	A+	2)
      EEN071 Introduction to biomedical engineering	Examination 4.5 credits	A+	S, 2)		Fri 10/10-2025 am J
      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)		Fri 10/10-2025 am J
      SSY310 Automatic control	Project 3 credits		2)
      SSY310 Automatic control	Examination 4.5 credits		S, 2)		Fri 10/10-2025 pm J

• 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.