Master Programme in Computer and Systems Sciences, 120 credits

This programme offers you the opportunity to expand your knowledge in IT Systems. You will not only learn the theories, methods and tools but also learn how to practice.

You will learn how to efficiently develop advanced computer systems and software systems using both agile and standard system development methods.

The programme helps you to develop soft skills along with technical skills such as understanding the needs of users, practicing in group dynamics and project management. The Programme is to a large extent project and problem oriented.

This programme is very diverse and offers you the opportunity to select from a variety of courses. Among the elective courses you will find courses in data mining, IT management, information security, business intelligence, decision analysis and IT project management. Additionally, you learn about scientific communication and research methodology. 

Programme overview

You will find detailed course information, list of course literature, schedule and start date at courses and timetables. Select semester in the drop-down menu and search by course name.

Year 1

1st Semester

Mandatory courses 4 x 7,5 credits

Enterprise Computing and ERP Systems 7,5 credits
The course discusses how enterprise information systems support organizations in value chains and supply chains. The course introduces a number of modern enterprise modelling techniques based on linguistic instruments and economic ontologies. It is shown how these techniques support requirements elicitation for enterprise information systems design.

Data mining in Computer and System Sciences 7,5 credits
As data is becoming more and more readily available, the need to analyse and make use of these large amounts of data is rapidly growing. Data mining deals with techniques that can find interesting and useful patterns in large volumes of data. This course covers basic concepts, techniques and algorithms in data mining combined with hands-on experimentation.

Introduction to Information Security 7,5 credits
The course is primarily an introductory course that prepares students for advanced studies in the field of information security and digital security. The course therefore provides a general conceptual framework for the subject area and provides familiarity with the terminology that is relevant to the more specialised security and forensics courses offered by the department.

Scientific Communication & Research Methodology 7,5 credits
Computing as a discipline combines three academic traditions: the theoretical tradition, the scientific (experimental) tradition and the engineering tradition. Due to that combination, there is no clear methodological tradition in computer science. This course introduces how to design, implement and report a research study. The main focus of this course is research design and reporting. Students will learn how to align problem statement, aims, objectives, research questions, data collection and analysis, and reporting into a coherent and logically flowing whole.

2nd Semester

Elective courses 4 x 7,5 (22.5) credit
From master elective courses spring

Year 2

3rd Semester

Mandatory course 7,5 credits

Research Methodology for Computer and Systems Sciences 7,5 credits
The course deals with research strategies (case studies, experiments and survey), methods for data collection (questionnaires, interviews and observations) and software-based analysis (thematic, conversation and interaction analysis). Statistical and mathematical methods include descriptive and inferential statistics. Evaluation of data is included.

Elective courses 3 x 7,5 (30) credits 

From master elective courses autumn or exchange studies information regarding exchange studies

4th Semester

Master thesis 30 credits

More information about master thesis

How to apply

FAQ - DSV application

Selection process

Additional 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. Upload the form along with your supporting documentation at universityadmissions.se

Please note!

  • If you are an applicant with a Swedish degree and courses visible in Ladok, you are not required to submit this form when you apply for this programme.
  • 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 requirements. You must apply via the central admission’s web platform (universityadmissions.se) and upload documents for the admission board to review.
  • You need to fill out one form for each of the programmes you are applying for.

Tip: You are able to fill out the form online if you use Acrobat reader.

Download form:   Specific entry req Computer and Systems Sciences 120 (158 Kb)

Please use Example_form.pdf for reference:   Example_form (175 Kb)

Career opportunities

The programme is suitable for students aiming to become system designers, system developers, security experts and IT project managers. Graduates may also enter Ph.D. programmes to pursue career in research.

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