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)
      SSY081 Transforms, signals and systems	Examination 5 credits	B		Fri 30/10-2026 pm J	Mon 04/01-2027 pm J Wed 25/08-2027 am J
      SSY081 Transforms, signals and systems	Laboratory 2.5 credits	B	S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      DAT026 Mathematical modelling and problem solving	Written and oral assignments 7.5 credits	A+	E
      DAT257 Agile software project management	Project 7.5 credits		E, 1)
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits	C	2)
      DAT566 Introduction to data science and AI	Examination 3.5 credits	C	S, 2)	Tue 27/10-2026 am J INSP	Tue 12/01-2027 pm J INSP Fri 27/08-2027 pm J INSP
      LMA017 Mathematical analysis in several variables	Examination 7.5 credits	C+	E, 2), 3)	Thu 29/10-2026 am J	Mon 04/01-2027 am J Thu 19/08-2027 pm J
      TDA384 Principles of Concurrent Programming	Laboratory 3 credits	C	2)
      TDA384 Principles of Concurrent Programming	Examination 4.5 credits	C	S, 2)	Sat 24/10-2026 am J	Fri 19/03-2027 pm J Thu 26/08-2027 am J

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      ENM156 Sustainable development and ethics for computer science	Project 7.5 credits	D	S, 4)

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      DAT278 Sustainable computing	Laboratory 1.5 credits	A+	2)
      DAT278 Sustainable computing	Examination 6 credits	A+	S, 2)	Wed 13/01-2027 am J INSP	Wed 31/03-2027 am J INSP Thu 19/08-2027 am J INSP
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits	D	2)
      DAT566 Introduction to data science and AI	Examination 3.5 credits	D	S, 2)	Tue 12/01-2027 pm J INSP	Thu 18/03-2027 am J INSP Fri 27/08-2027 pm J INSP
      ERE103 Control theory	Laboratory 3 credits	B+	2)
      ERE103 Control theory	Examination 4.5 credits	B+	S, 2)	Fri 15/01-2027 pm J	Wed 31/03-2027 pm J Thu 19/08-2027 am J
      FFY144 Physics 2	Examination 6 credits			Thu 14/01-2027 pm J	Wed 31/03-2027 pm J Tue 24/08-2027 pm J
      FFY144 Physics 2	Laboratory 1.5 credits		S
      MVE370 Mathematics and society	Written and oral assignments 0 credits		*, 5)
      MVE655 Multivariable analysis	Examination 7.5 credits		E, 2), 3)	Wed 13/01-2027 am J	Thu 01/04-2027 am J Fri 20/08-2027 pm J
      TDA357 Databases	Examination 4.5 credits	D+	2)	Wed 13/01-2027 pm J	Thu 26/08-2027 pm J
      TDA357 Databases	Laboratory 3 credits	D+	S, 2)

• SPRING TERM

  • Study period 3

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      CTE033 History of technology	Intermediate test 1.5 credits	A	5)
      CTE033 History of technology	Written and oral assignments 6 credits	A	S, 5)
      DAT076 Web applications	Written and oral assignments 1.5 credits	C+	2)
      DAT076 Web applications	Project 6 credits	C+	S, 2)
      DAT510 Design and construction of digital games	Written and oral assignments 7.5 credits	C	E, 6)
      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)
      DAT600 Functional Programming: continuation course	Written and oral assignments 3.5 credits		2)
      DAT600 Functional Programming: continuation course	Examination 4 credits		S, 2)
      DAT610 Human - computer interaction	Examination 4.5 credits	D	5)
      DAT610 Human - computer interaction	Project 3 credits	D	S, 5)
      EDA223 Real time systems	Examination 4.5 credits	B+
      EDA223 Real time systems	Laboratory 3 credits	B+	S
      EDA264 Computer security	Laboratory 1.5 credits	C+	2)
      EDA264 Computer security	Written and oral assignments 6 credits	C+	S, 2)
      EOE055 Electrical measurement technique	Design exercise 1.5 credits		*
      EOE055 Electrical measurement technique	Examination 2.2 credits		*
      ETI147 Analog electronics	Laboratory 0.7 credits		*
      ETI147 Analog electronics	Examination 3 credits		*
      MVE370 Mathematics and society	Written and oral assignments 3 credits		*, 5)
      TDA342 Advanced functional programming	Laboratory 4.5 credits	C
      TDA342 Advanced functional programming	Examination 3 credits	C	S
      TDA357 Databases	Examination 4.5 credits		2)
      TDA357 Databases	Laboratory 3 credits		S, 2)
      TDA384 Principles of Concurrent Programming	Laboratory 3 credits	A+	2)
      TDA384 Principles of Concurrent Programming	Examination 4.5 credits	A+	S, 2)		Sat 24/10-2026 am J
      TDA553 Object-oriented programming and design	Examination 3 credits		2)
      TDA553 Object-oriented programming and design	Laboratory 3 credits		2)
      TDA553 Object-oriented programming and design	Written and oral assignments 1.5 credits		S, 2)
      TEK226 Technology and society	Written and oral assignments 7.5 credits	C	E, 5)
      TIN093 Algorithms	Examination 7.5 credits	A+	E
      TMV029 Finite automata and formal languages	Written and oral assignments 3 credits		2)
      TMV029 Finite automata and formal languages	Examination 4.5 credits		S, 2)

  • Study period 4

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      DAT216 Design and implementation of graphical interfaces	Project 3.5 credits		6)
      DAT216 Design and implementation of graphical interfaces	Examination 4 credits		S, 6)		Fri 09/10-2026 am J
      DAT341 Applied machine learning	Take-home examination 4 credits	C
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits	C	S
      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 09/10-2026 am J
      EOE055 Electrical measurement technique	Design exercise 0.8 credits		*
      EOE055 Electrical measurement technique	Examination 3 credits		*, S		Contact examiner
      ETI147 Analog electronics	Laboratory 0.8 credits		*
      ETI147 Analog electronics	Examination 3 credits		*, S		Fri 09/10-2026 pm J
      MVE370 Mathematics and society	Written and oral assignments 4.5 credits		*, E, 5)
      MVE420 Emerging technologies, global risk and the future of humanity	Project 7.5 credits		E, 5)
      TEK132 History of science	Written and oral assignments 7.5 credits	A	E, 5)
      TEK571 Ethics and technology	Oral examination 7.5 credits	C	S, 5)

• Diploma thesis

  Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
  DATX11 Bachelor's thesis in Computer science and engineering	Project 15 credits		*
  EENX16 Bachelor's thesis in Electrical engineering	Project 15 credits		*
  ENVX11 Bachelor's thesis in Environmental and energy sciences	Project 15 credits		*

• 1 The course has theme MTS 1.5 credits
• 2 Compulsory elective: Among these courses you have to choose at least 2courses during spring year 2 and autumn- spring year 3 (DAT076, DAT278, DAT566, DAT600, EDA264, EEN071, ERE103, LMA017, MVE655, TDA357, TDA384, TDA553, TMV029) 2 of stated courses are required for the degree
• 3 Overlap: Only one of the marked courses can be included in the degree (LMA017, MVE655)
• 4 The course has theme Environment 7.5 credits
• 5 The course has theme MTS 7.5 credits
• 6 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.
• *: The module includes education in another period