The programme overview is adopted 2024-02-12 by Dean of Education.

Programme concentration:

• AUTUMN TERM

  • Study period 1

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2024 - aug 2025)
      DAT257 Agile software project management	Project 7.5 credits		E, 1)
      LMA017 Mathematical analysis in several variables	Examination 7.5 credits		E	Thu 31/10-2024 am L	Tue 07/01-2025 am L Thu 21/08-2025 pm L

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2024 - aug 2025)
      DAT068 Project	Project 7.5 credits	A+	E
      DAT565 Introduction to data science and AI	Written and oral assignments 7.5 credits	D	E

• SPRING TERM

  • Study period 3

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2024 - aug 2025)
      DAT341 Applied machine learning	Take-home examination 4 credits	B
      DAT341 Applied machine learning	Written and oral assignments 3.5 credits	B	S
      LSP127 Professional communication	Written and oral assignments 1.5 credits	A+	E

  • Study period 4

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2024 - aug 2025)
      LMU450 Economy and organisation	Examination 6 credits	C+	E		Fri 11/10-2024 am L INSP

• Diploma thesis

  Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2024 - aug 2025)
  EENX20 Degree project in Electrical engineering	Diploma thesis 15 credits		*
  LMTX38 Degree project in Computer science and engineering	Diploma thesis 15 credits		*

• 1 The course has theme MTS 1.5 credits
• 2 Compulsory elective: 3 of stated courses are required for the degree (DAT076, DAT151, DAT326, DAT356, EDA093, EDA264, EDA322, EDA387, LMA017, LMA201, LMA521, SSY011, TDA352, TDA384, TDA452, TDA567, TDA596, TEK486) 3 of stated courses are required for the degree
• 3 Recommendation: Prerequisite MPDSC (One of the courses LMA201/LMA521 and LMA017) (LMA017, LMA201, LMA521)
• 4 Recommendation: Prerequisite MPEES (EDA322, SSY011)
• 5 Compulsory elective: 1 of stated courses are required for the degree (DAT068, EDA234) 1 of stated courses are required for the degree
• 6 Overlap: Only one of the marked courses can be included in the degree (DAT068, EDA234)
• 7 The course has theme Environment 7.5 credits
• 8 The course has theme MTS 7.5 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.
• 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.
• *: The module includes education in another period