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		E
      TIN093 Algorithms	Examination 7.5 credits		E

    • 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
      DAT105 Computer architecture	Examination 6 credits		S
      DAT350 Types for programs and proofs	Oral examination 7.5 credits		E, 1)
      DAT441 Advanced topics in machine learning	Written and oral assignments 3.5 credits		1)
      DAT441 Advanced topics in machine learning	Examination 4 credits		S, 1)
      DAT650 Formal methods in software development	Laboratory 2.5 credits		1)
      DAT650 Formal methods in software development	Examination 5 credits		S, 1)

  • 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
      DAT151 Programming language technology	Laboratory 1.5 credits		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
      DAT278 Sustainable computing	Examination 6 credits		S
      DAT415 Computability	Examination 4.5 credits		1)
      DAT415 Computability	Written and oral assignments 3 credits		S, 1)
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits
      DAT566 Introduction to data science and AI	Examination 3.5 credits		S
      DAT615 Neuro-symbolic AI	Examination 7.5 credits		E
      EEN020 Computer vision	Project 3 credits
      EEN020 Computer vision	Written and oral assignments 4.5 credits		S
      TDA251 Algorithms, advanced course	Project 7.5 credits		E, 1)
      TDA352 Cryptography	Laboratory 1.5 credits		1)
      TDA352 Cryptography	Examination 6 credits		S, 1)
      TDA362 Computer graphics	Examination 6 credits
      TDA362 Computer graphics	Laboratory 1.5 credits		S
      TDA452 Functional programming	Laboratory 3 credits
      TDA452 Functional programming	Examination 4.5 credits		S
      TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits		E
      TEK656 Creating technology-based ventures	Examination 7.5 credits		E

• 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		2)
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits		S, 2)
      DAT410 Design of AI systems	Written and oral assignments 7.5 credits		E
      DAT566 Introduction to data science and AI	Written and oral assignments 4 credits
      DAT566 Introduction to data science and AI	Examination 3.5 credits		S
      EDA223 Real time systems	Examination 4.5 credits
      EDA223 Real time systems	Laboratory 3 credits		S
      EDA264 Computer security	Laboratory 1.5 credits
      EDA264 Computer security	Written and oral assignments 6 credits		S
      TDA206 Discrete optimization	Examination 7.5 credits		E, 1)
      TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits		1), 2)
      TDA233 Algorithms for machine learning and inference	Examination 4.5 credits		S, 1), 2)
      TDA342 Advanced functional programming	Laboratory 4.5 credits		1)
      TDA342 Advanced functional programming	Examination 3 credits		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		2)
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits		S, 2)
      DAT471 Computational techniques for large-scale data	Written and oral assignments 4.5 credits
      DAT471 Computational techniques for large-scale data	Examination 3 credits		S
      DAT475 Advanced databases	Written and oral assignments 3 credits
      DAT475 Advanced databases	Examination 4.5 credits		S
      EDA491 Network security	Examination 6 credits
      EDA491 Network security	Laboratory 1.5 credits		S
      TDA283 Compiler construction	Project 7.5 credits		E, 1)
      TDA602 Language-based security	Project 4.5 credits		1)
      TDA602 Language-based security	Laboratory 3 credits		S, 1)
      TME290 Autonomous robots	Examination 7.5 credits		E

• 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.