The programme overview is adopted 2019-02-21 by Dean of Education.

• AUTUMN TERM

  • Study period 1

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT405 Introduction to data science and AI	Written and oral assignments 7.5 credits		E
      TMA947 Nonlinear optimisation	Laboratory 1.5 credits
      TMA947 Nonlinear optimisation	Examination 6 credits		S	Thu 28/10-2021 am J	Tue 04/01-2022 am J Tue 16/08-2022 am J

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT246 Empirical software engineering	Written and oral assignments 2.5 credits	A
      DAT246 Empirical software engineering	Examination 5 credits	A	S	Mon 25/10-2021 pm J	Wed 05/01-2022 am L Tue 23/08-2022 pm J
      DAT465 Causality and causal inference	Written and oral assignments 7.5 credits	A	E, 1)
      FFR105 Stochastic optimization algorithms	Examination 7.5 credits	D	E	Wed 27/10-2021 pm J	Mon 03/01-2022 am J Thu 25/08-2022 am J
      FFR135 Artificial neural networks	Examination 7.5 credits	B+	E	Mon 25/10-2021 am L	Tue 04/01-2022 pm J Thu 18/08-2022 pm J
      MVE187 Computational methods for Bayesian statistics	Project 2 credits
      MVE187 Computational methods for Bayesian statistics	Examination 5.5 credits		S	Sat 30/10-2021 am J	Wed 05/01-2022 pm J Thu 25/08-2022 am J
      RRY025 Image processing	Examination 7.5 credits	C+	E, 1), 2), 3)	Thu 28/10-2021 pm J	Tue 04/01-2022 pm J Fri 19/08-2022 pm J
      SSY340 Deep machine learning	Project 3 credits	A
      SSY340 Deep machine learning	Written and oral assignments 4.5 credits	A	S
      TEK650 Strategic management of technological innovation	Examination 7.5 credits	D	S	Wed 27/10-2021 pm J DIG	Wed 05/01-2022 pm L DIG Wed 17/08-2022 am J DIG
      TIN093 Algorithms	Examination 7.5 credits	A	E, 4)	Sat 23/10-2021 pm L	Thu 25/08-2022 pm J
      TMA265 Numerical linear algebra	Examination 7.5 credits		E	Tue 26/10-2021 pm J	Mon 03/01-2022 pm J Contact examiner
      TMA881 High performance computing	Examination 7.5 credits		E, 1)	Contact examiner	Contact examiner Contact examiner

  • Study period 2

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      MVE550 Stochastic processes and Bayesian inference	Examination 6 credits	B		Sat 08/01-2022 am J	Wed 13/04-2022 am J Mon 22/08-2022 am J
      MVE550 Stochastic processes and Bayesian inference	Written and oral assignments 1.5 credits	B	S

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT450 Machine learning for natural language processing	Written and oral assignments 7.5 credits	A	S, 1), 3)
      EEN020 Computer vision	Project 3 credits	C
      EEN020 Computer vision	Written and oral assignments 4.5 credits	C	S
      MVE095 Options and mathematics	Examination 7.5 credits		E, 4)	Thu 13/01-2022 am J	Wed 13/04-2022 am J Tue 23/08-2022 am J
      MVE172 Basic stochastic processes and financial applications	Laboratory 3 credits		1)
      MVE172 Basic stochastic processes and financial applications	Examination 4.5 credits		S, 1)	Sat 04/12-2021 am J	Mon 11/04-2022 am J Tue 23/08-2022 pm J
      MVE190 Linear statistical models	Examination 7.5 credits		E	Tue 11/01-2022 pm J	Tue 12/04-2022 pm J Thu 18/08-2022 pm J
      SSY130 Applied signal processing	Examination 7.5 credits	D	S	Wed 12/01-2022 pm J	Mon 11/04-2022 pm J Tue 23/08-2022 pm J
      SSY316 Advanced probabilistic machine learning	Project 7.5 credits	B	E, 1)
      TDA251 Algorithms, advanced course	Project 7.5 credits	C	E
      TDA357 Databases	Examination 4.5 credits	D+	4)	Wed 12/01-2022 pm J	Thu 25/08-2022 pm J
      TDA357 Databases	Laboratory 3 credits	D+	S, 4)
      TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	A	E
      TDA596 Distributed systems	Examination 6 credits	C		Tue 11/01-2022 am J	Tue 12/04-2022 pm J Wed 17/08-2022 am J
      TDA596 Distributed systems	Laboratory 1.5 credits	C	S
      TEK656 Creating technology-based ventures	Examination 7.5 credits	B	E	Mon 10/01-2022 am J DIG	Mon 11/04-2022 am J DIG Mon 22/08-2022 pm J DIG
      TMA521 Large scale optimization	Examination 7.5 credits		S, 1)	Fri 14/01-2022 pm J	Tue 12/04-2022 am J Tue 23/08-2022 pm J

• SPRING TERM

  • Study period 3

    • Compulsory courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT410 Design of AI systems	Written and oral assignments 7.5 credits	D	E

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT340 Applied Machine Learning	Examination 4 credits	B	4), 5)	Contact examiner	Contact examiner Contact examiner
      DAT340 Applied Machine Learning	Written and oral assignments 3.5 credits	B	S, 4), 5)
      SSY098 Image analysis	Project 3.5 credits	C	1), 2)
      SSY098 Image analysis	Laboratory 4 credits	C	S, 1), 2)
      TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits	B	4), 5)
      TDA233 Algorithms for machine learning and inference	Examination 4.5 credits	B	S, 4), 5)	Tue 15/03-2022 pm J	Fri 10/06-2022 am J Wed 24/08-2022 am J
      TDA357 Databases	Examination 4.5 credits		4)	Fri 18/03-2022 am J	Thu 25/08-2022 pm J
      TDA357 Databases	Laboratory 3 credits		S, 4)
      TIF150 Information theory for complex systems	Examination 7.5 credits	B+	E	Fri 18/03-2022 pm J	Contact examiner Thu 18/08-2022 am J
      TIN093 Algorithms	Examination 7.5 credits	A+	E, 4)	Wed 16/03-2022 am J	Thu 25/08-2022 pm J

  • Study period 4

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2021 - aug 2022)
      DAT340 Applied Machine Learning	Examination 4 credits	C	4)	Contact examiner	Contact examiner Contact examiner
      DAT340 Applied Machine Learning	Written and oral assignments 3.5 credits	C	S, 4)
      DAT440 Advanced topics in machine learning	Written and oral assignments 3.5 credits	B	1)
      DAT440 Advanced topics in machine learning	Examination 4 credits	B	S, 1)	Tue 31/05-2022 pm J	Fri 07/10-2022 pm J Mon 15/08-2022 pm J
      DAT470 Computational techniques for large-scale data	Written and oral assignments 4.5 credits	A	4)
      DAT470 Computational techniques for large-scale data	Examination 3 credits	A	S, 4)	Fri 03/06-2022 pm J	Sat 08/10-2022 pm J Thu 18/08-2022 pm J
      DAT475 Advanced databases	Written and oral assignments 3 credits	D	4)
      DAT475 Advanced databases	Examination 4.5 credits	D	S, 4)	Wed 01/06-2022 pm J	Fri 07/10-2022 pm J Thu 25/08-2022 am J
      MVE165 Linear and integer optimization with applications	Examination 7.5 credits		S	Thu 02/06-2022 am J	Mon 03/01-2022 am J Thu 25/08-2022 pm J
      MVE441 Statistical learning for big data	Project 1.5 credits		4)
      MVE441 Statistical learning for big data	Take-home examination 6 credits		S, 4)
      SSY115 Health Informatics	Project 7.5 credits	B	E
      TMS016 Spatial statistics and image analysis	Examination 7.5 credits		S, 1)	Wed 01/06-2022 pm J	Contact examiner Wed 24/08-2022 pm J
      TMS088 Financial time series	Examination 7.5 credits		E, 1)	Fri 03/06-2022 pm J	Mon 03/01-2022 am J Mon 22/08-2022 am J

• 1 Compulsory elective: Compulsory elective course. (DAT440, DAT450, DAT465, MVE172, RRY025, SSY098, SSY316, TMA521, TMA881, TMS016, TMS088) 2 of stated courses are required for the degree
• 2 Overlap: Only one of the marked courses can be included in the degree (RRY025, SSY098)
• 3 Recommendation: The course is normally followed during the second year of the Masters programme (DAT450, RRY025)
• 4 Compulsory elective: Compulsory elective course. (DAT340, DAT470, DAT475, MVE095, MVE441, TDA233, TDA357, TIN093) 2 of stated courses are required for the degree
• 5 Overlap: Only one of the marked courses can be included in the degree (DAT340, 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.