Year 2
Programme overview for year 2026/2027
AUTUMN TERM
Study period 1
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)Examination 6 credits - Thu 29/10-2026 pm J INSP
- Mon 04/01-2027 am J INSP
- Mon 16/08-2027 pm J INSP
Laboratory 1.5 credits S Project 1.5 credits Examination 6 credits S - Tue 27/10-2026 am J
- Thu 07/01-2027 am J
- Thu 26/08-2027 am J
Study period 2
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)Examination 6 credits 1) - Thu 14/01-2027 pm J INSP
- Wed 31/03-2027 pm J INSP
- Wed 25/08-2027 pm J INSP
Laboratory 1.5 credits S, 1) Design exercise + laboratory 3 credits Examination 4.5 credits S - Tue 12/01-2027 am J
- Thu 01/04-2027 am J
- Wed 18/08-2027 am J
SPRING TERM
Study period 3
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)Examination 6 credits 2), 3) Written and oral assignments 1.5 credits 2), 3) Examination 5 credits 1) Design exercise + laboratory 2.5 credits S, 1)
Study period 4
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)Project 6 credits 2), 3) Written and oral assignments 1.5 credits S, 2), 3) Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2026 - aug 2027)Project 2.5 credits 4), 5) Examination 5 credits S, 4), 5) - Sat 10/10-2026 am J
Examination 6 credits 6), 4), 7), 3) - Fri 09/10-2026 am J INSP
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 Masters programme within the main field of study Mechanical Engineering or another accredited Masters 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 Masters programme or carry out their Bachelors 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.