Norwegian version of this page Master

Master in Applied Computer Science (120 ECTS)

Would you like to solve important challenges in today's society and shape the technology of the future? This master’s programme offers advanced knowledge and practical skills in artificial intelligence, cyber security management, interaction design, or Internet of Things, which make you prepared for a rapidly evolving digital world.

ECTS Credits:
120
Study duration:
2 years
Organisation:
Full-time
Start of studies:
Autumn 2026
Term fee:
NOK 810
Teaching language:
English
Campus:
Halden
Application opens:
February 1st
Application deadline:
15th of April.

What does the programme offer?

The Master in Applied Computer Science is a two-year full-time programme (120 ECTS) taught in English. You choose one of four specialisations:

  • Artificial Intelligence
  • Cyber Security Management
  • Interaction Design
  • Internet of Things (IoT)

The programme equips you with deep scientific and technical knowledge, critical thinking, and the ability to solve complex problems in real-world settings, e.g. within health, industry, public administration, and education. You will work on interdisciplinary projects, collaborate with industry, and gain hands-on experience in advanced labs. The IoT specialisation also qualifies for the protected Norwegian title sivilingeniør, which will be stated in the diploma.

Graduates are prepared for leading positions within application development, web development, consulting, and project management in IT companies in Norway and abroad. They are also qualified for work in the public sector, for instance in the fields of research, health, and education.

Programme structure

The programme includes compulsory courses in scientific methods, ethics and writing, one interdisiplinary project course, specialisation-specific courses and a master’s thesis. In addition, the students also have an elective course. Students work on real-world problems and collaborate with industry and research environments.

Teaching is research-based and practice-oriented, with focus on innovation, critical thinking, and interdisciplinary collaboration.

Learning methods include lectures, labs, workshops, reading circles, and student-led seminars. Students have access to cutting-edge facilities like:

  • Makerspace
  • VR Lab
  • Robotics Lab
  • Machine Learning Cluster
  • Data Security Lab

Contact

Student adviser: Terese Engedahl

Telefon: +47 69608136

E-post: tee@hiof.no

Programme Coordinator

Faculty of Computer Sciences, Engineering and Economics.
Head of Department, Monica Kristiansen Holone