We run into decision problems almost everywhere, and a proper handling of them is fundamental for a well-functioning society. Decisions that are not thought through and made by gut feeling often lead to unfavourable consequences. In this programme you will learn how to handle decision situations in a systematic way so that preferred consequences are probable.

You will be made familiar with all the stages in decision making, from selecting, gathering and processing background information, structuring of the problem and assessing the consequences to making the actual decision based on rational principles.

The programme has two tracks: data science or decision and risk analysis. In the first year you will learn about both subject areas and in the second year you will specialise in either one.

The data science track covers how to extract knowledge from data by, for example, machine learning, big data analytics, data mining and time series. In terms of the decision making process, this is the beginning, where the bases for decisions are found.

The decision and risk analysis track focuses on the later stages such as finding, evaluating and choosing alternatives but also how to deal with uncertain factors such as subjective values and future outcomes. You will also learn to spot the difference between rational and irrational arguments for decisions.

Career | Outline | Requirements | Selection | Application

Career

After having completed the programme you will be qualified to assess and handle risks as well as form strategies. Moreover, you will be able to provide decision makers with well-founded advice in tricky situations.

Apart from academia and Ph.D. studies, graduates may pursue careers in a variety of organisations such as large and mid-size corporations, banks and financial institutes, public sector agencies and non-governmental organisations. 

Programme outline

Programme outline – list of courses

More information about the programme

Credits: 120
Language: English
Duration: 2 years
Study pace: 100%
Study form: Distance
Begins: Autumn
Degree: Degree of Master of Science (120 credits). Main Field of Study: Computer and Systems Sciences. Specialization: Decision Support and Risk Analysis.

Education plan

Programme requirements

A Bachelor’s degree or a degree equal to 180 ECTS, including a 15 ECTS independent degree project or thesis. A minimum of 15 ECTS within programming or mathematics.

Language proficiency

Swedish upper secondary school course English B/English 6 or:

  • IELTS (International English Language Testing Service)- Academic Module: Overall minimum score of 6.5 (with no section below 5.5).
  • TOEFL (Test of English as a Foreign Language)
    Paper Based: Overall minimum score of 575 (with minimum score 4.5 in the written test)
    Internet based: Overall minimum score of 90 (with minimum score 20 in the written test)
  • University of Cambridge and Oxford: Certificate in Advanced English or Diploma of English Studies

Selection

The selection of students is only based on grades of academic courses.

This means that you don’t submit recommendation letters or motivation letter when applying to this specific programme.

Application

DSV’s Master’s Programmes start once a year, in September.

Apply now!

The application round is open from October 16 (2018) to January 15 (2019).

Application online at the University Admission website

The University Admission web site contains all the information you need to be able to apply: key dates, documents you need to upload etc, and the staff will assist you with issues regarding the admission process.

More information regarding application

Late application

If the admission is closed, you are not able to apply. Occasionally some programmes are open for “late admission” and in that case, it is indicated at www.universityadmissions.se