Master’s Programme in Decision analysis and Data science
120 credits cr.
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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 a “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.
After the programme you will be 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.
Two tracks: data science and 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.
This programme is a full-time (100% study pace) online distance learning programme with no meetings on campus.
Information about online distance studies at DSV
You will find detailed course information, list of course literature, schedule and start date on the course information page at "Courses and timetables". Select semester in the drop-down menu and search by course name.
Courses and timetables
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.
Mandatory courses 4 x 7,5 credits
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
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
How to apply
This program starts each autumn semester.
Please note that it is only possible to apply for this programme in the first admission round (mid-October to mid-January). The programme does not open for admission in the second admission round.
Find answers to the most common questions regarding application, requirements and study format (distance or campus). FAQ Master's programmes
Selection processAdditional eligibility criteria
The selection of students is based on grades of academic courses.
This means that you don’t have to submit recommendation letters or motivation letter when applying to this specific programme.
Required supporting documentation
Along with your supporting documents at univeristyadmissions.se, you are required to submit a separate form with a list of proof of specific entry requirements. Download the form below.
- List the courses, from your uploaded transcript of courses, that you want to use to meet the specific requirements for this programme.
- Submit links to the course description and learning outcomes (and/or objectives) of each course stated on your University’s website. Or link to an official descriptive document of the course (for example a pdf).
- Upload the form along with your supporting documentation at universityadmissions.se
- This form is for specific requirements only, to assist the admission board to navigate in your uploaded supporting documents. You need to submit all your supporting documentation, including general entry requirements (Bachelor’s degree, English proficiency etc.), as instructed, at universityadmissons.se
- The department is not able to give advance notice regarding special requirements. Please, apply via universityadmissions.se and submit documents for the admission board to review.
Courses that meet the requirements
Special requirements for this programme: 15 ECTS credits in Mathematics or Programming.
In order to fulfil the entry requirement of 15 credits/ECTS in mathematics/programming, you need to have obtained at least 15 credits/ECTS in these subjects (combination of either or both), either as part of your previous education or independent courses.
Note: If you wish to include independent courses, remember that they need to be offered by an accredited University. Courses offered by online learning platforms (Coursera, Udemy etc.) are not counted in.
Mathematics: any mathematics course including mathematical reasoning and calculations, i.e. mathematical analysis, calculus, algebra, geometry, discrete mathematics, probability theory, differential equations.
Please note that we only count in Mathematical statistics and not regular statistics (i.e. statistics that only involve the use of statistical tools and representation).
Applicants with a bachelor’s degree certificate on Economics fulfil the eligibility criterion of 15 credits/ECTS in mathematics, as long as the whole degree is an Economics degree and not partially/consisting of independent courses in Economics.
Please note again that the course needs to involve code implementation so courses which only include mark-up languages (i.e. HTML, XML), style sheet languages (i.e. CSS) are not counted in.
In addition, Database-related courses are acceptable as long as they involve implementation and not only using the database (i.e. queries).
Download form: Specific entry req. Decision analysis and Data science 120 credits (357 Kb)
Find the degree awarded for this programme in the syllabus, either in the right sidebar (desktop) or below (mobile device).
Please note that a student can only be awarded one bachelor’s degree, one master’s degree (60 credits) and one master’s degree (120 credits) within a specific main field of study.
After graduation, you will be qualified to assess and handle risks as well as form strategies. 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.