The programme overview is adopted 2026-02-11 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)
      MVE137 Probability and statistical learning using Python	Examination 7.5 credits		E
      SSY121 Introduction to communication engineering	Examination 7.5 credits		E

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EDA387 Computer networks	Laboratory 1.5 credits		1)
      EDA387 Computer networks	Examination 6 credits		S, 1)
      EEN100 Statistics and machine learning in high dimensions	Oral examination 6 credits		1)
      EEN100 Statistics and machine learning in high dimensions	Project 1.5 credits		S, 1)
      RRY025 Image processing	Examination 7.5 credits		E, 1)
      RRY100 Satellite communications	Oral examination 7.5 credits		E, 1)
      SSY340 Deep machine learning	Project 3 credits		1)
      SSY340 Deep machine learning	Written and oral assignments 4.5 credits		S, 1)
      TMA947 Nonlinear optimisation	Laboratory 1.5 credits		1)
      TMA947 Nonlinear optimisation	Examination 6 credits		S, 1)

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      SSY130 Applied signal processing	Examination 7.5 credits		S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EEN020 Computer vision	Project 3 credits		1)
      EEN020 Computer vision	Written and oral assignments 4.5 credits		S, 1)
      MCC100 Fiber optical communication	Examination 7.5 credits		S, 1)
      MCC125 Wireless link project	Project 7.5 credits		E, 1)
      RRY095 Satellite positioning	Written and oral assignments 7.5 credits		E, 1)
      SSY317 Advanced probabilistic machine learning	Examination 7.5 credits		E, 1), 2)
      TDA352 Cryptography	Laboratory 1.5 credits		1)
      TDA352 Cryptography	Examination 6 credits		S, 1)

• SPRING TERM

  • Study period 3

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EEN115 Introduction to communication networks	Examination 7.5 credits		E

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EDA264 Computer security	Laboratory 1.5 credits		1)
      EDA264 Computer security	Written and oral assignments 6 credits		S, 1)
      EEN210 Applied digital health	Project 5 credits		1)
      EEN210 Applied digital health	Oral examination 2.5 credits		S, 1)
      EEN245 Machine learning with graphs	Examination 7.5 credits		E, 1)
      MCC048 Photonics and lasers	Laboratory 1.5 credits		1)
      MCC048 Photonics and lasers	Project 1.5 credits		1)
      MCC048 Photonics and lasers	Examination 4.5 credits		S, 1)
      RRY057 Electromagnetic sensor systems	Examination 6 credits		1), 2)
      RRY057 Electromagnetic sensor systems	Laboratory 1.5 credits		S, 1), 2)
      SSY135 Wireless communications	Examination 7.5 credits		S, 1)
      SSY205 Matrix analysis with applications, advanced level	Project 7.5 credits		E, 1), 2), 3)

  • Study period 4

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EEN240 Information, inference, and coding	Examination 7.5 credits		S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
      EDA491 Network security	Examination 6 credits		1), 2)
      EDA491 Network security	Laboratory 1.5 credits		S, 1), 2)
      MCC142 Integrated photonics	Examples class 4.5 credits		1), 4)
      MCC142 Integrated photonics	Laboratory 1.5 credits		1), 4)
      MCC142 Integrated photonics	Project 1.5 credits		S, 1), 4)
      RRY081 Radar systems and applications	Laboratory 1.5 credits		1), 4)
      RRY081 Radar systems and applications	Examination 6 credits		S, 1), 4)
      SSY099 Image analysis	Project 3.5 credits		1), 2)
      SSY099 Image analysis	Laboratory 4 credits		S, 1), 2)
      SSY100 Antenna engineering	Examination 7.5 credits		E, 1), 4)
      SSY145 Wireless networks	Examination 7.5 credits		S, 1), 2)
      SSY210 Information theory, advanced level	Oral examination 7.5 credits		E, 1), 2), 3)
      SSY345 Sensor fusion and nonlinear filtering	Written and oral assignments 7.5 credits		S, 1), 2)
      TMS016 Spatial statistics and image analysis	Examination 7.5 credits		S, 1)

• 1 Compulsory elective: - (EDA264, EDA387, EDA491, EEN020, EEN100, EEN210, EEN245, MCC048, MCC100, MCC125, MCC142, RRY025, RRY057, RRY081, RRY095, RRY100, SSY099, SSY100, SSY135, SSY145, SSY205, SSY210, SSY317, SSY340, SSY345, TDA352, TMA947, TMS016) 3 of stated courses are required for the degree
• 2 Recommendation: Algorithm-related courses (EDA491, RRY057, SSY099, SSY145, SSY205, SSY210, SSY317, SSY345)
• 3 Is given every other year
• 4 Recommendation: Hardware-related courses (MCC142, RRY081, SSY100)
• 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.