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Master's Programme in Computer and Systems Sciences

  • 60 credits

Do you have a Bachelor's degree in Computer Science, Information Systems or similar? Do you want to gain deeper knowledge and find new career opportunities? Then this programme is for you!

Information for admitted students Autumn 2020

Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.

In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.

Follow the instructions on wether you have to reply to your offer or not.


Checklist for admitted students

  1. Activate your university account

    The first step in being able to register and gain access to all the university's IT services.

  2. Register at your department

    Registration can be done in different ways. Read the instructions from your department below.

  3. Read all the information on this page

    Here you will find what you need to know before your course or programme starts.


Your seat may be withdrawn if you do not register according to the instructions provided by your department.

Information from the department - programmes

Welcome to DSV!

The first semester of year 1 on Master's programmes will be given fully online as distance learning, as previously announced.
Here you will find previous information emails from us

Enrolment and introduction

Enrolment for autumn semester 2020 is open from August 10 to August 31. When you enrol, you will confirm your place on the programme. 

To be able to start your studies, you need to:

  • Activate your University Account. Use the one-time code you will receive via email in August 10 to activate your University Account.
  • Enrol in our system Daisy.

Find instructions how to activate your Univeristy Account and enrol here

When you are enrolled in Daisy, you are able to log on to the study platform iLearn

Online information sessions August 27

Here you will find times for your online information sessions at the Department of Computer and Systems Sciences, DSV

Student union DISK

As a student at DSV, you will be offered to join our student union DISK. 
More information about DISK and how to join here


Questions regarding enrolment:
Phone hours and reception hours for the Students Affairs Office

Questions regarding your studies and conditionally acceptance: 
Phone hours and reception hours for the master student counsellors

Welcome activities

Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department. 

Find your way on campus

Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.

Find your way on campus

Read more

New student

During your studies

Student unions

For new international students

Pre-departure information

New in Sweden

This programme is a one-year master’s programme for those who already have a Bachelor's degree in computer science, information systems or similar. The programme suits those who wish to broaden and deepen their skills and knowledge as a preparation for a successful professional career. It is also suitable if you have studied at another university and want to be closer to the labour market in the Stockholm region.

Compared with the Bachelor's level, you get a deeper knowledge of information technology, its role in business and society, and how it interacts with humans. You will also learn about emerging trends in the field and how future information technology will be used. This one-year programme is focused on advanced courses and includes a short thesis.

  • Programme overview

    The 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.

    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

    Elective courses 2 x 7,5 credits
    Two from the following three courses:

    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.

    Advanced Requirements Engineering of IT-systems 7,5 credits
    Requirements engineering (RE) plays a fundamental role within the systems development process. The goal of this course is to bring in the concepts, methods, techniques and practices needed in the eliciting, analysing, documenting, validating and managing requirements for agile information systems. It explains how RE fits a broader systems development process and provides an understanding of the main challenges in requirements engineering nowadays.

    Mandatory course 1 x 7,5 credits

    Empirical Research Methodology for Computer and Systems Sciences 7,5 credits
    The course introduces and provides training in basic aspects of empirical research methodology. These include:

    • to find, summarize, evaluate and compare scientific literature,
    • quote, refer and paraphrase scientific literature,
    • justify a scientific study,
    • quantitative data types, data collection methods and data analysis methods and
    • qualitative data types, data collection methods and data analysis methods.

    Elective course 1 x 7,5 credits

    One from the following four courses:

    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 provide familiarity with the terminology that is relevant to the more specialised security and forensics courses offered by the department.

    Management of Global IT Resources 7,5 credits
    The trend towards globalisation has determined the multinational companies to increase their attention on the role of information technologies in support of their global operations. In this perspective, the course is addressing the important issues and challenges in managing IT resources in multinational companies.

    Big Data with NoSQL Databases 7,5 credits
    In this course you will look at technologies, such as Hadoop, developed to handle huge amounts of data. These amounts of data cannot usually be handled by traditional database management systems due to the volume, variation and speed of the data. Alternative forms of representations of data have therefore evolved within the NoSQL framework. The course also deals with predictive modelling with Big data and typical applications.

    Research topics in Data Science 7,5 credits
    This course introduces current research topics in computer science, which deals with methods and techniques for collecting, organizing and analysing data in order to extract new knowledge. The course provides students with training in identifying and formulating research questions in the area, selecting and applying research methods, planning and carrying out studies, including the collection and analysis of data and reporting results and draw conclusions and relate them to previous work.

    2nd Semester

    Elective courses 2 x 7,5 (15) credits
    From master elective courses spring

    Master Thesis 15 credits
    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.

  • Career opportunities

    The programme is suitable for students aiming to become system designers, system developers, security experts and IT project managers.

    If you are more interested in a research career, we recommend our two-year master's programmes.

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