Master’s Programme in Decision analysis and Data science – no admission
This programme is not available for application any longer. Use this page as reference material if you are a student on this specific version of the programme.
Programme outline
Year 1
1st semester
Mandatory courses 4 x 7,5 credits
Decision Support Methods 7,5 credits
Risk Management 7,5 credits
Decision Theory 7,5 credits
Programming for Data Science 7,5 credits Note that you must have at least the grade C on this course to be able to select the data science track.
2nd Semester
Mandatory courses 4 x 7,5 credits
Scientific Communication and Research Methodology 7,5 credits
Analysis of Bases for Decisions 7,5 credits
Business Analytics 7,5 credits
Logic for Computer Science 7,5 credits
Year 2
3rd Semester
The second year, the student select a track, the decision and risk analysis track or the data science track.
Decision and risk analysis track:
Mandatory courses 2 x 7,5 credits and 1 x 15 credits
Research Methodology for Computer and Systems Sciences 7,5 credits
Methodology of Decision Analysis with Advanced Applications 15 credits
Risk and Decision Analysis: special problems 7,5 credits
Data science track:
Note that you must have at least the grade C on the course Programming for Data Science 7,5 hp to be able to select the data science track.
Mandatory courses 4 x 7,5 credits
Research Methodology for Computer and Systems Sciences 7,5 credits
Data Mining in Computer and Systems Sciences 7,5 credits
Research Topics in Data Science 7,5 credits
Big Data with NoSQL Databases 7,5 credits
4th Semester
Master Thesis 30 credits
Last updated: June 1, 2023
Source: Department of Computer and Systems Sciences, DSV