Study programme description for students

Computer Science - Master

Facts

Studyprogram code M-DATENG

Credits (ECTS) 120

Level Master's degree (2 years)

Leads to degree Master in Computer Science (datavitenskap)

Full-/Part-time Full-time

Duration 4 semesters

Undergraduate No

Language of instruction English

The master’s programme in Computer Science at the University of Stavanger is open to Norwegian and international students. With a master’s degree in Computer Science the door is open to some of the most challenging and interesting jobs in the field. The study programme gives a broad foundation within the field of computer science. This is an international study programme, and all courses are given in English. The programme is organised under the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science.

Objectives, content, and organisation of the study programme

The master's programme in Computer Science is aimed at students who have completed a 3-year bachelor's degree in computer technology. The two-year master's degree in Computer Science comprises 120 ECTS.

The programme has practical courses that build on mathematics, statistics, and basic computer science courses from the bachelor's degree in Computer Science. The programme contains advanced algorithmic topics, security, networks, distributed systems and machine learning.

The programme offers a variety of study and learning activities, from traditional lecture series and exercises, project work, self-study and laboratory teaching to introduction and practice in the use of modern software.
Which teaching forms are used varies between different courses and topics.

Details on teaching and learning methods, required literature, evaluation methods, and assessment criteria are provided in each course description.

The university of Stavanger aims to offer all the study programmes as planned but must make reservations about sufficient resources and / or students to complete the offer. Over time, it will be natural for the academic content and offering of courses to change due to the general developments in the field of study, the use of technology and changes in society at large.

After admission to the programme, you can apply to take the study programme part-time.

Learning outcome

A graduate should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

K1: Have advanced knowledge in Computer Science including cloud computing, security, networks, distributed systems and generative AI.

K2: Have deep knowledge in the subject areas’ scientific theories and methods.

Skills

S1: Use relevant methods for research and software development in an independent manner.

S2: Analyse and relate in a critical manner to different information sources and apply these to structure and formulate professional reasoning within information technology.

S3: Perform an independent, limited research- or development project under guidance and in line with established ethical norms for research.

S4: Exploit knowledge in wireless communication, sensor networking, distributed communication systems and generative AI.

S5: Design, model, simulate, and develop advanced network-based computer systems with focus on dependability and security.

General competence

G1: Analyse relevant professional and research ethical problems.

G2: Apply one’s knowledge and skills to new areas to conduct complex tasks and projects.

G3: Communicate comprehensively about own work and master the subject area’s form of expression.

G4: Communicate professional problems, analyse, and draw conclusions within the subject area, both with specialists and the general public.

Career prospects

We encounter digital technology everywhere, and researchers and developers in Computer Science are crucial in making information society and digitalization a reality.

Developers in Computer Science are indispensable in almost all industries. Here are some examples of businesses where you can find employment:

  • consulting companies
  • telecommunications companies
  • oil-related businesses
  • hospitals and other public agencies

A degree in Computer Science provides a basis for work with:

  • software security
  • software development
  • design of computer networks and systems
Graduates can qualify for admission to the PhD programme in Science and Technology with relevant specialisation at the University of Stavanger.

Course assessment

Schemes for quality assurance and evaluation of studies are stipulated in the Quality system for education

Studyplan with courses

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Student exchange

Schedule for the exchange
3rd semester

Students can go on a study abroad experience during the 3rd semester of the master's programme in Computer Science. Abroad, you must choose courses that provide an equivalent specialisation in your field of study, and these must be approved before you leave. It is also important that the courses you are going to take abroad do not overlap with courses you have already taken or will take later in your studies. It is recommended to think about your specialisation and/or your field of interest. You must choose at least one non-science/technological course equivalent to 5-10 ECTS (e.g. economics, languages, ethics, project management, green transition or similar).

More opportunities

In addition to the recommended universities listed below, UiS has a number of agreements with universities outside Europe that are applicable to all students at UiS, provided that they find a relevant course offering. Within the Nordic region, all students can use the Nordlys and Nordtek networks.

Find out more

Contact your study adviser at the faculty if you have questions about guidance and pre-approval of courses: Sheryl Josdal

General questions about exchange:
Go to the exchange guide in the Digital student service desk

Contact information

Faculty of Science and Technology, tel 51 83 17 00, E-mail: post-tn@uis.no.

Study Adviser: Sheryl Josdal.