Home

Education

Master

Master's Programme in Informatics

  • Years2 years
  • ECTS credits120
  • Tuition fee

Presentation

Objectives and content

The candidates who have completed their study shall have substantial founded knowledge and skills in informatics. They shall have obtained a thorough introduction to scientific work methods and training in self-contained work doing extensive and demanding technical tasks. They will have developed special skills within a research field, and a good overview of other research fields.

Within the master program in informatics the candidates are admitted to one of the follwing specializations:

  • Algorithm Theory
  • Visualization
  • Secure and reliable communication
  • Optimization
  • Bioinformatics

For more information regarding learning outcomes and objectives and content, see each specialization.

Semester

Autumn

What you Learn

Required Learning Outcomes

On completion of the programme the candidate should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The candidate

  • has broad knowledge of informatics and deeper insight in the special topic of his master thesis.
  • has thorough knowledge of the theories and methods used in informatics.
  • is able to apply this knowledge to solve problems in new contexts.
  • can analyse problems within informatics on the basis of knowledge, existing technology, and societal relevance.

Skills

The candidate

  • can analyse and deal in a critical manner with various sources of information and use them to structure and formulate arguments.
  • can use appropriate methods for research and development in informatics in an independent manner.
  • can carry out research and development projects complying with norms for research ethics.

General competence

The candidate

  • can analyse professional and research ethical problems related to informatics.
  • can apply knowledge and skills to new areas of informatics in order to carry out advanced assignments and projects.
  • can communicate academic issues, analyses and conclusions in informatics, both to specialists and to the general public.
  • can contribute to new thinking and innovation processes.

Study Period Abroad

Study period abroad

You can plan study periods abroad in consultation with your supervisor as a part of the master agreement.

How to Apply

Admission Requirements

General admission criteria:

You must have obtained a first degree (bachelor's degree) of three or four years duration from an approved institution of higher education.

Your bachelor's degree must include minimum 20 ECTS of Mathematics and minimum 60 ECTS of Informatics/Computer science. If both INF100 and INF109 are part of the Bachelor's degree, the applicant will only get credit for INF100.

Additional credits in Mathematics and/or Informatics can be an advantage.

Documentation of proficiency in English is also necessary if you have an international background.

Note that the master's programme has a limited number of places.

See each programme option/specialization for more information about aims and content.

For international self-financing applicants:

The Master's Degree Programme in Informatics is not available for international applicants residing abroad.

Applicants who reside in Norway:

You apply online through the website soknadsweb.uib.no

Application deadline on soknadsweb.uib.no for students residing in Norway (with Norwegian ID-number):

For study start August: April 15.

For study start January: November 1.

For information about application and admission procedures, see this link.

Semester

Autumn

Programme structure

Master's Programme in Informatics (krav 120 SP)
Specialization
When you apply to the master's programme you can prioritize the different specializations
Algorithms (krav 60 SP)
Compulsory subject (krav 30 SP)
Mandatory course
Course codeCourse titleSPSR
INF234Algorithms101–41
INF235Complexity Theory101–42
INF334Advanced Algorithmic Techniques101–43
Optional subject (krav 30 SP)
Bioinformatics (krav 60 SP)
Compulsory subject (krav 30 SP)
Mandatory course
Course codeCourse titleSPSR
INF234Algorithms101–41
INF282<title>101–42
INF283Introduction to Machine Learning101–41
Elective course
Course codeCourse titleSPSR
MOL301Biomolecules101–41
Optional subject (krav 30 SP)
The subjects MOL301, INF381, MOL310 og STAT200 is highly recommended.
Optimisation (krav 60 SP)
Compulsory subject (krav 20 SP)
Mandatory course
Course codeCourse titleSPSR
INF234Algorithms101–41
INF270Linear Programming101–41
Optional subject (krav 40 SP)
The subjects MAT261, INF271, INF272 and INF237 is highly recommended
Coding theory and cryptograpy (krav 60 SP)
Compulsory subject (krav 20 SP)
Mandatory course
Course codeCourse titleSPSR
INF234Algorithms101–41
INF240Basic Codes101–41
Choices of direction in secure and reliable communication
Specialization in coding theory (krav 40 SP)
Compulsory subject (krav 10 SP)
Mandatory course
Course codeCourse titleSPSR
INF244Graph-Based Coding 101–43
Optional subject (krav 30 SP)
Specialization in cryptography (krav 40 SP)
Compulsory subject (krav 10 SP)
Mandatory course
Course codeCourse titleSPSR
INF247Cryptology101–41
Optional subject (krav 30 SP)
Specialization in computer security (krav 40 SP)
Compulsory subject (krav 10 SP)
Mandatory course
Course codeCourse titleSPSR
INF246Information Network101–42
INF241<title>101–42
Optional subject (krav 30 SP)
Visualization (krav 60 SP)
Compulsory subject (krav 50 SP)
Mandatory course
Course codeCourse titleSPSR
INF234Algorithms101–41
INF251Computer Graphics101–41
INF358Seminar in Visualization101–41
INF252Visualization101–42
INF319Project in informatics II101–42
Optional subject (krav 10 SP)
Master thesis (krav 60 SP)
Mandatory course
Course codeCourse titleSPSR
INF399Master's Thesis in Informatics603
Optional subjects at Høgskolen i Bergen
Elective course
Avansert programvareteknologi (HVL)
Moderne systemutviklingsmetoder (HVL)
Agentteknologier (HVL)
Utvalgte emner i programvareutvikling (HVL)
Modell-basert programvareutvikling (HVL)
SP = ECTS credits, S = Semester, R = Recommended semester

Specializations

Request more Info

Request more information

* indicates required

Where did you hear about us?
Field of interest

More information