The programme overview is adopted 2025-02-19 by Dean of Education.

• AUTUMN TERM

  • Study period 1

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT060 Logic in computer science	Examination 7.5 credits	B	E	Thu 30/10-2025 am J	Thu 08/01-2026 am J Wed 26/08-2026 am J
      TIN093 Algorithms	Examination 7.5 credits	A	E	Sat 25/10-2025 pm J	Thu 27/08-2026 pm J

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT105 Computer architecture	Project 1.5 credits	A
      DAT105 Computer architecture	Examination 6 credits	A	S	Mon 27/10-2025 pm J	Wed 07/01-2026 am J Tue 18/08-2026 pm J
      DAT350 Types for programs and proofs	Oral examination 7.5 credits	C	E, 1)
      DAT441 Advanced topics in machine learning	Written and oral assignments 3.5 credits	B	1)
      DAT441 Advanced topics in machine learning	Examination 4 credits	B	S, 1)	Mon 27/10-2025 am J INSP	Thu 08/01-2026 pm J INSP Mon 17/08-2026 pm J INSP
      DAT650 Formal methods in software development	Laboratory 2.5 credits	B	1)
      DAT650 Formal methods in software development	Examination 5 credits	B	S, 1)	Thu 30/10-2025 am J	Thu 08/01-2026 am J Mon 17/08-2026 pm J

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT151 Programming language technology	Examination 6 credits	B		Thu 15/01-2026 am J	Thu 09/04-2026 am J Thu 27/08-2026 pm J
      DAT151 Programming language technology	Laboratory 1.5 credits	B	S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT278 Sustainable computing	Laboratory 1.5 credits	A+
      DAT278 Sustainable computing	Examination 6 credits	A+	S	Wed 14/01-2026 am J INSP	Wed 08/04-2026 am J INSP Thu 20/08-2026 am J INSP
      DAT415 Computability	Examination 4.5 credits	A	1)	Wed 14/01-2026 am J	Fri 10/04-2026 am J Wed 19/08-2026 am J
      DAT415 Computability	Written and oral assignments 3 credits	A	S, 1)
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits	D
      DAT566 Introduction to data science and AI	Examination 3.5 credits	D	S	Tue 13/01-2026 pm J INSP	Fri 10/04-2026 am J INSP Fri 28/08-2026 pm J INSP
      DAT615 Neuro-symbolic AI	Examination 7.5 credits	D	E	Tue 13/01-2026 pm J	Wed 19/08-2026 pm J
      EEN020 Computer vision	Project 3 credits	C
      EEN020 Computer vision	Written and oral assignments 4.5 credits	C	S
      TDA251 Algorithms, advanced course	Project 7.5 credits	C	E, 1)
      TDA352 Cryptography	Laboratory 1.5 credits	D	1)
      TDA352 Cryptography	Examination 6 credits	D	S, 1)	Fri 16/01-2026 am J	Thu 09/04-2026 am J Fri 28/08-2026 am J
      TDA362 Computer graphics	Examination 6 credits	D+		Fri 16/01-2026 am J	Fri 10/04-2026 pm J Tue 25/08-2026 pm J
      TDA362 Computer graphics	Laboratory 1.5 credits	D+	S
      TDA452 Functional programming	Laboratory 3 credits	C
      TDA452 Functional programming	Examination 4.5 credits	C	S	Tue 13/01-2026 am J INSP	Thu 09/04-2026 pm J INSP
      TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	D	E
      TEK656 Creating technology-based ventures	Examination 7.5 credits		E	Thu 15/01-2026 am J INSP	Wed 08/04-2026 am J INSP Mon 24/08-2026 pm J INSP

• SPRING TERM

  • Study period 3

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT341 Applied machine learning	Take-home examination 4 credits	B	2)
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits	B	S, 2)
      DAT410 Design of AI systems	Written and oral assignments 7.5 credits	D	E
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits	B
      DAT566 Introduction to data science and AI	Examination 3.5 credits	B	S
      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+
      EDA264 Computer security	Written and oral assignments 6 credits	C+	S
      TDA206 Discrete optimization	Examination 7.5 credits	A	E, 1)
      TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits	B	1), 2)
      TDA233 Algorithms for machine learning and inference	Examination 4.5 credits	B	S, 1), 2)
      TDA342 Advanced functional programming	Laboratory 4.5 credits	C	1)
      TDA342 Advanced functional programming	Examination 3 credits	C	S, 1)
      TME286 Interpretable artificial intelligence	Project 7.5 credits		E

  • Study period 4

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
      DAT085 Project in computer science	Project 7.5 credits		E
      DAT235 Research-oriented course in Computer Science and Engineering	Project 7.5 credits		E
      DAT341 Applied machine learning	Take-home examination 4 credits	C	2)
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits	C	S, 2)
      DAT471 Computational techniques for large-scale data	Written and oral assignments 4.5 credits	A
      DAT471 Computational techniques for large-scale data	Examination 3 credits	A	S
      DAT475 Advanced databases	Written and oral assignments 3 credits	D
      DAT475 Advanced databases	Examination 4.5 credits	D	S		Sat 11/10-2025 am J
      DAT700 Advanced programming language theory	Project (part A) 5 credits
      DAT700 Advanced programming language theory	Examples class (part A) 2.5 credits		S
      EDA491 Network security	Examination 6 credits	B+			Fri 10/10-2025 pm J INSP
      EDA491 Network security	Laboratory 1.5 credits	B+	S
      TDA283 Compiler construction	Project 7.5 credits		E, 1)
      TDA602 Language-based security	Project 4.5 credits	A+	1)
      TDA602 Language-based security	Laboratory 3 credits	A+	S, 1)
      TME290 Autonomous robots	Examination 7.5 credits	B	E		Contact examiner

• 1 Compulsory elective: Compulsory elective (DAT350, DAT415, DAT441, DAT650, TDA206, TDA233, TDA251, TDA283, TDA342, TDA352, TDA602) 4 of stated courses are required for the degree
• 2 Overlap: Only one of the marked courses can be included in the degree (DAT341, TDA233)
• 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.
• E: The only module in the course. Module grade and grade for the course are reported at the same time.
• S: Final grade. All module grades are reported before the final grade for the course can be reported.