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

• AUTUMN TERM

  • Study period 1

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MTT085 Engineering materials	Examination 6 credits
      MTT085 Engineering materials	Laboratory 1.5 credits		S
      TME031 Dynamics	Project 1.5 credits
      TME031 Dynamics	Examination 6 credits		S

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MEE125 Manufacturing engineering	Examination 6 credits		1)
      MEE125 Manufacturing engineering	Laboratory 1.5 credits		S, 1)
      PPU210 Machine elements	Design exercise + laboratory 3 credits
      PPU210 Machine elements	Examination 4.5 credits		S

• SPRING TERM

  • Study period 3

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MEE130 Sustainable product realisation	Examination 6 credits		2), 3)
      MEE130 Sustainable product realisation	Written and oral assignments 1.5 credits		2), 3)
      MTF042 Thermodynamics and energy technology	Examination 5 credits		1)
      MTF042 Thermodynamics and energy technology	Design exercise + laboratory 2.5 credits		S, 1)

  • Study period 4

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MEE130 Sustainable product realisation	Project 6 credits		2), 3)
      MEE130 Sustainable product realisation	Written and oral assignments 1.5 credits		S, 2), 3)

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      MVE785 Mathematical statistics with machine learning	Project 2.5 credits		4), 5)
      MVE785 Mathematical statistics with machine learning	Examination 5 credits		S, 4), 5)
      TEK441 Industrial management, production and organization	Examination 6 credits		6), 4), 7), 3)
      TEK441 Industrial management, production and organization	Written and oral assignments 1.5 credits		S, 6), 4), 7), 3)

• 1 The course has theme Environment 1.5 credits
• 2 The course has theme Environment 4.5 credits
• 3 The course has theme MTS 2.5 credits
• 4 Recommendation: To fulfil the requirements for the Degree of Master of Science in Engineering, the student must choose either Mathematical statistics with machine learning or Industrial management, production and organization (MVE785, TEK441)
• 5 Recommendation: Students who plan to apply for a Master’s programme within the main field of study Mechanical Engineering or another accredited Master’s programme are recommended to choose Mathematical statistics with machine learning. (MVE785)
• 6 Recommendation: To fulfil the requirements for the Degree of Bachelor of Science in Engineering, the student must complete the course Industrial management, production and organization. (TEK441)
• 7 Recommendation: Students who plan to apply for a Master’s programme or carry out their Bachelor’s thesis in Industrial Engineering and Management are recommended to choose Industrial economics, production and organisation (TEK441)
• 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.