Master’s Programme in Computer Science 120 credits

It is no longer possible to apply to this option

  • Period : 2019-September-02 until 2021-June-06
  • Location: Karlskrona
  • Type of instruction: On campus, day, full-time
  • Language of instruction: The teaching language is English.
  • Programme syllabus: Download

The master’s program in computer science is a broad education with the opportunity to read several courses in the computer science field. If you are interested in a specific area, you have the opportunity to profile and deepen your knowledge in this field through elective courses.

The program has three main directions: i) IT security, ii) Distributed and Parallel Systems, and iii) Intelligent Systems.

During the first semester, you will study courses that prepare you for future elective courses within the respective direction. Mandatory courses the first semester is artificial intelligence, Unix programming, cloud computing and network security.
The focus of the IT security area includes courses in safe software development, software security and analysis of malicious software. In the field of parallel and distributed systems, we work a lot with performance issues, parallel programming, virtualization and cloud-based systems. Within the field of intelligent systems, you will learn techniques for how to develop computer based functionals that are capable of complex processing and data analysis. This field includes courses in machine learning, simulation and decision support.

During the latter part of the course you will be able to associate with different areas of application and current research projects. In some courses, you are encouraged to work with current challenges in areas such as pattern recognition, image processing, game development, different decision support systems for resource planning in the energy sector, healthcare and transport sectors.

The education focuses greatly on research preparation and you are studying a course in research methodology, which prepare you for a career in research-intensive industries, such as future research career in academia or business.

Programme manager: Marie Netz