Master's Programme in Computer and Systems Sciences
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.
New selection criteria for the 2024 intake!
The selection is made from the following three criteria:
- Grades of academic courses,
- mandatory motivation letter and
- the relevance of previous studies in relation to the programme.
It is therefore very important to submit a motivation letter.
Find instructions for the motivation letter under “How to apply” below.
Our researchers. Your teachers.
Information for admitted students autumn 2024
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 whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.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!
We hope that you will enjoy your studies with us. Follow the link below for information about how to start your studies at DSV and how and when to enrol.
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.
Read more
For new international students
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.
New selection criteria for the 2024 intake!
The selection is made from the following three criteria:
- Grades of academic courses,
- mandatory motivation letter and
- the relevance of previous studies in relation to the programme.
It is therefore very important to submit a motivation letter.
Find instructions for the motivation letter under “How to apply” below.
Our researchers. Your teachers.
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Programme overview
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 timetablesYear 1
1st Semester
Mandatory courses 4 x 7,5 credits
Enterprise Computing and ERP Systems 7,5 credits
Foundations of Data Science 7,5 credits
Introduction to Information Security 7,5 credits
Internet of Things Services 7,5 credits2nd Semester
Mandatory course 1 x 7,5 credits
Scientific Communication and Research Methodology 7,5 credits
Elective courses 3 x 7,5 credits
Master elective courses spring
Year 2
3rd Semester
For this semester, you have the possibility to apply for exchange studies.
Note that, you must read the course Research Methodology for Computer and Systems Sciences 7,5 credits during your exchange period to be able to write your thesis when you return.
Exchange studiesMandatory course 1 x 7,5 credits
Research Methodology for Computer and Systems Sciences 7,5 credits
Elective courses 3 x 7,5 credits
Master elective courses autumn
4th Semester
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How to apply
Required supporting documentation
Motivation letter
The letter shall include:- Tell us something about yourself. Who are you?
- Motivate why you want to study this programme.
- Describe how you fulfil the entry requirements of 90 ECTS within computer and systems sciences (e.g., computer science, systems science, informatics, information systems etc.)
Maximum one A4 page.
Save the letter as “Motivation letter SCSSO”.
Submit the letter together with your application at universityadmissions.se -
More information
Introducing tracks
How it works
The track is there to help and guide you to select courses for a specialisation and give you the opportunity to write your thesis on the subject. A track is not compulsory to follow through and you do not choose a track. You just select the recommended courses from the track when it is time to read the elective courses in the programme outline. You can still decide later to read other courses in each period of elective courses.From autumn of 2022, you are able to follow a track in Applied distributed Internet of Things (IoT). The track focuses on the next generation of distributed IoT software systems for large-scale decentralized systems.
Courses included in this track:
- Parallel and distributed programming 7,5 credits, 2nd semester.
- Project course Distributed data processing for Ubiquitous computing 15 credits, 3rd semester. To be able to take this course you need to have passed the course Parallel and distributed programming.
- Thesis work on the subject 30 credits, 4th semester.
Admission round
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 is not open for admission in the second admission round.
Degree
Find the degree awarded for this programme in the syllabus, either in the right sidebar (desktop) or below (mobile device).
Please note, that you can only be awarded one bachelor’s degree, one master’s degree (60 credits) and one master’s degree (120 credits) in computer and systems sciences from our department.
Research
Research subjects at the department with relevance to the program:
AI and Data Science
Business Process Management and Enterprise Modelling
Cyber Security
Digital Games and Simulation
Human–Computer Interaction
Language Technology
Risk and Decision Analysis
Technology Enhanced Learning -
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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Contact
Find answers to the most common questions regarding application, requirements and study format (distance or campus). FAQ Master's programmes
Prospective master student
