Master 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.
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
Activate your university account
The first step in being able to register and gain access to all the university's IT services.
Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Your seat may be withdrawn if you do not register according to the instructions provided by your department.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.
When you are enrolled in Daisy, you are able to log on to the study platform iLearn
Online information sessions August 27
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: firstname.lastname@example.org
Phone hours and reception hours for the Students Affairs Office
Questions regarding your studies and conditionally acceptance: email@example.com
Phone hours and reception hours for the master student counsellors
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.
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.
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.
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.
Internet of Things services 7,5 credits
The course covers development of applications, services, and design of communication between clients and interfaces to Internet of Things (IoT) architectures. The course provides an understanding of the design process regarding new communication systems that is specially designed for new context-based IoT applications. The student also get an understanding of the integration of smart objects for IoT.
Mandatory course 1 x 7,5 credits
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.
Elective courses 3 x 7,5 credits
From master elective courses spring
Mandatory course 1 x 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 credits
Master thesis 30 credits
How to apply
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.
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.