Year 1

Programme overview for year 2026/2027

The programme overview is adopted 2026-02-17 by Dean of Education.

AUTUMN TERM

Study period 1

Compulsory courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT695 Introduction to data science	Written and oral assignments 4 credits
DAT695 Introduction to data science	Examination 3.5 credits	S	Tue 27/10-2026 am J INSP	Tue 12/01-2027 pm J INSP Fri 27/08-2027 pm J INSP
TMA947 Nonlinear optimisation	Laboratory 1.5 credits
TMA947 Nonlinear optimisation	Examination 6 credits	S	Mon 26/10-2026 pm J	Tue 05/01-2027 am J

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT060 Logic in computer science	Examination 7.5 credits	E	Thu 29/10-2026 am J	Tue 05/01-2027 am J Wed 25/08-2027 am J
DAT246 Empirical software engineering	Written and oral assignments 2.5 credits
DAT246 Empirical software engineering	Examination 5 credits	S	Mon 26/10-2026 pm J INSP	Mon 04/01-2027 pm J INSP Tue 24/08-2027 am J INSP
DAT300 Data-driven support for cyber-physical systems	Project 7.5 credits	E
DAT400 High-performance parallel programming	Laboratory 3 credits
DAT400 High-performance parallel programming	Examination 4.5 credits	S	Thu 29/10-2026 am J	Mon 04/01-2027 am J Mon 23/08-2027 am J
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)	Mon 26/10-2026 am J INSP	Tue 05/01-2027 am J INSP Mon 16/08-2027 pm J INSP
DAT625 Structured machine learning	Written and oral assignments 7.5 credits	E, 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)
FFR105 Stochastic optimization algorithms	Examination 7.5 credits	E	Wed 28/10-2026 pm J	Thu 07/01-2027 am J Thu 26/08-2027 am J
FFR135 Artificial neural networks	Examination 7.5 credits	E	Mon 26/10-2026 am J	Tue 05/01-2027 am J Thu 19/08-2027 pm J
MVE188 Computational methods for Bayesian statistics	Project 2 credits
MVE188 Computational methods for Bayesian statistics	Examination 5.5 credits	S	Sat 24/10-2026 am J	Thu 07/01-2027 am J
RRY025 Image processing	Examination 7.5 credits	E, 1), 2)	Thu 29/10-2026 pm J	Tue 05/01-2027 am J Fri 20/08-2027 pm J
SSY340 Deep machine learning	Project 3 credits	1)
SSY340 Deep machine learning	Written and oral assignments 4.5 credits	S, 1)
TIN093 Algorithms	Examination 7.5 credits	E, 3)	Mon 26/10-2026 pm J	Thu 26/08-2027 pm J
TMA265 Numerical linear algebra	Examination 7.5 credits	E	Tue 27/10-2026 pm J	Thu 07/01-2027 pm J
TMA883 High performance computing	Written and oral assignments 7.5 credits	E, 1)
TMS150 Stochastic data processing and simulation	Project 7.5 credits	E

Study period 2

Compulsory courses

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
MVE550 Stochastic processes and Bayesian inference	Examination 6 credits			Mon 11/01-2027 am J	Fri 02/04-2027 am J Mon 23/08-2027 am J
MVE550 Stochastic processes and Bayesian inference	Written and oral assignments 1.5 credits		S

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT295 Autonomous and cooperative vehicular systems	Project 7.5 credits	E
DAT315 The computer scientist in society	Written and oral assignments 7.5 credits	E
DAT415 Computability	Examination 4.5 credits		Wed 13/01-2027 am J	Fri 02/04-2027 am J Wed 18/08-2027 am J
DAT415 Computability	Written and oral assignments 3 credits	S
DAT450 Machine learning for natural language processing	Written and oral assignments 7.5 credits	S, 1), 4)
DAT570 Continuous optimization in data science	Written and oral assignments 7.5 credits	E, 3)
DAT615 Neuro-symbolic AI	Examination 7.5 credits	E	Tue 12/01-2027 pm J INSP	Wed 31/03-2027 pm J INSP Wed 18/08-2027 pm J INSP
EEN020 Computer vision	Project 3 credits
EEN020 Computer vision	Written and oral assignments 4.5 credits	S
MVE095 Options and mathematics	Examination 7.5 credits	E, 3)	Sat 16/01-2027 am J	Fri 02/04-2027 pm 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)	Mon 11/01-2027 pm J	Wed 31/03-2027 am J Thu 19/08-2027 am J
MVE190 Statistical learning with regression models	Examination 7.5 credits	E	Tue 12/01-2027 pm J	Thu 01/04-2027 pm J
SSY130 Applied signal processing	Examination 7.5 credits	S	Wed 13/01-2027 pm J	Wed 31/03-2027 pm J Tue 24/08-2027 pm J
SSY317 Advanced probabilistic machine learning	Examination 7.5 credits	E, 1)	Tue 12/01-2027 pm J	Wed 31/03-2027 am J Wed 25/08-2027 am J
TDA251 Algorithms, advanced course	Project 7.5 credits	E
TDA352 Cryptography	Laboratory 1.5 credits
TDA352 Cryptography	Examination 6 credits	S	Fri 15/01-2027 am J	Thu 01/04-2027 am J Fri 27/08-2027 am J
TDA357 Databases	Examination 4.5 credits		Wed 13/01-2027 pm J	Thu 26/08-2027 pm J
TDA357 Databases	Laboratory 3 credits	S
TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	E
TDA596 Distributed systems	Examination 6 credits		Tue 12/01-2027 am J INSP	Thu 01/04-2027 pm J INSP Wed 18/08-2027 pm J INSP
TDA596 Distributed systems	Laboratory 1.5 credits	S
TEK010 Creating new business	Examination 7.5 credits	E	Mon 11/01-2027 am J INSP	Wed 31/03-2027 am J INSP Mon 23/08-2027 pm J INSP
TMA522 Large scale optimization	Examination (part A) 6 credits	1)	Fri 15/01-2027 pm J	Wed 31/03-2027 pm J
TMA522 Large scale optimization	Project (part B) 1.5 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)
DAT410 Design of AI systems
Written and oral assignments 7.5 credits E

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT410 Design of AI systems	Written and oral assignments 7.5 credits		E

Elective courses

Course code and name	Module, credits/period	Note
DAT341 Applied machine learning	Take-home examination 4 credits	3), 5)
DAT341 Applied machine learning	Written and oral assignments 3.5 credits	S, 3), 5)
DAT675 Artificial intelligence for molecules	Written and oral assignments 3 credits
DAT675 Artificial intelligence for molecules	Project 4.5 credits	S
EEN210 Applied digital health	Project 5 credits
EEN210 Applied digital health	Oral examination 2.5 credits	S
TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits	3), 5)
TDA233 Algorithms for machine learning and inference	Examination 4.5 credits	S, 3), 5)
TDA357 Databases	Examination 4.5 credits
TDA357 Databases	Laboratory 3 credits	S
TIN093 Algorithms	Examination 7.5 credits	E, 3)

Study period 4

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT341 Applied machine learning	Take-home examination 4 credits	3), 5)
DAT341 Applied machine learning	Written and oral assignments 3.5 credits	S, 3), 5)
DAT471 Computational techniques for large-scale data	Written and oral assignments 4.5 credits	3)
DAT471 Computational techniques for large-scale data	Examination 3 credits	S, 3)	Wed 02/06-2027 am J	Fri 09/10-2026 am J Mon 16/08-2027 am J
DAT475 Advanced databases	Written and oral assignments 3 credits	3)
DAT475 Advanced databases	Examination 4.5 credits	S, 3)		Sat 10/10-2026 am J
DAT530 Research-oriented course in data science and AI	Project 7.5 credits	E
MVE166 Linear and integer optimization with applications	Examination (part A) 6 credits			Mon 04/01-2027 pm J
MVE166 Linear and integer optimization with applications	Project (part B) 1.5 credits	S
MVE441 Statistical learning for big data	Project 1.5 credits	3)
MVE441 Statistical learning for big data	Take-home examination 6 credits	S, 3)
SSY099 Image analysis	Project 3.5 credits	1), 2)
SSY099 Image analysis	Laboratory 4 credits	S, 1), 2)
TMS016 Spatial statistics and image analysis	Examination 7.5 credits	S, 1)		Contact examiner
TMS089 Time series analysis with financial applications	Examination (part A) 6 credits	1)
TMS089 Time series analysis with financial applications	Project (part B) 1.5 credits	S, 1)

1 Compulsory elective: Compulsory elective course. (DAT441, DAT450, DAT625, EEN100, MVE172, RRY025, SSY099, SSY317, SSY340, TMA522, TMA883, TMS016, TMS089) 2 of stated courses are required for the degree
2 Overlap: Only one of the marked courses can be included in the degree (RRY025, SSY099)
3 Compulsory elective: Compulsory elective course. (DAT341, DAT471, DAT475, DAT570, MVE095, MVE441, TDA233, TIN093) 2 of stated courses are required for the degree
4 Recommendation: The course is normally followed during the second year of the Masters programme (DAT450)
5 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.
S: Final grade. All module grades are reported before the final grade for the course can be reported.
E: The only module in the course. Module grade and grade for the course are reported at the same time.

Data Science and AI

Overview

Year 1

Programme overview for year 2026/2027

AUTUMN TERM

Study period 1

Compulsory courses

Elective courses

Study period 2

Compulsory courses

Elective courses

SPRING TERM

Study period 3

Compulsory courses

Elective courses

Study period 4

Elective courses

Overview