Master's Programme in Data Science – Machine Learning and Statistics

120 credits

Outline, TDA2M, MAST

A revised version of the outline is available.

The following designations are used:

G1N - First cycle, has only upper-secondary level entry requirements

G1F - First cycle, has less than 60 credits in first-cycle courses as entry requirements

G2F - First cycle, has at least 60 credits in first-cycle courses as entry requirements

A1N - Second cycle, has only first-cycle courses as entry requirements, at least 120 credits

A1F - Second cycle, has second-cycle courses as entry requirements

A2E - Second cycle, degree project for Master of Arts/Master of Science (120 credits)

Semester 1

Introduction to Data Science, 5 of 10 credits (1MS041) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Mathematics A1N
Data, Ethics and Law, 5 credits (1DL002) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N

Eligible courses:

Computer Programming II, 5 credits (1TD722) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
Algorithms and Data Structures I, 5 credits (1DL210) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
Modelling for Combinatorial Optimisation, 5 credits (1DL451) Main field(s) of study and in-depth level: Computer Science A1N
Scientific Computing II, 5 credits (1TD395) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
Linear Algebra II (for Master's Students), 5 credits (1MA323) Main field(s) of study and in-depth level: Mathematics G1F
Probability Theory II, 5 credits (1MS036) Main field(s) of study and in-depth level: Mathematics G2F

Introduction to Data Science, 5 of 10 credits (1MS041) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Mathematics A1N
Statistical Machine Learning, 5 credits (1RT700) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Technology A1N

Eligible courses:

Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
Optimisation, 5 credits (1TD184) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
Several Variable Calculus, Limited Version (for Master's Students), 5 credits (1MA324) Main field(s) of study and in-depth level: Mathematics G1F
Foundations of Mathematical Analysis, 5 credits (1MA322) Main field(s) of study and in-depth level: Mathematics G2F
Inference Theory II, 5 credits (1MS037) Main field(s) of study and in-depth level: Mathematics G2F

Data Engineering I, 7.5 credits (1TD069) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
Theoretical Foundations for Data Science, 7.5 credits (1MS042) Main field(s) of study and in-depth level: Data Science A1N, Mathematics A1N

Eligible courses:

Artificial Intelligence, 7.5 credits (1DL010) Main field(s) of study and in-depth level: Computer Science A1N
Computer-Intensive Statistics and Data Mining DS, 7.5 credits (1MS043) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Mathematics A1N
Bayesian Statistics DS, 7.5 credits (1MS031) Main field(s) of study and in-depth level: Mathematics A1N

1MS043 is given even years

1MS031 is given odd years

Data Engineering II, 7.5 credits (1TD075) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Data Science A1F
Reinforcement Learning, 7.5 credits (1RT747) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Embedded Systems A1N, Image Analysis and Machine Learning A1N

YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022

Project in Data Science, 15 credits

Advanced Probabilistic Machine Learning, 7.5 credits

Theoretical Statistics, 7.5 credits (given only in even years)

Scientific Visualisation, 7.5 credits

YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022

Degree Project E in Data Science, 30 credits