Programme structure
The master programme is a two year programme, consisting of a thesis and theoretical course work. The thesis is an independent scientific work, carried out under supervision.
You can choose between a long thesis (60 credits thesis, 60 credits course work) a short thesis (30 credits thesis, 90 credits course work).
All 4000- and 5000-courses are considered master level courses. Choice of thesis and curriculum is made in accordance to the programme option of your choice and together with your supervisor.
The programme has three areas of specializations:
- Scientific computing
- Image and signal processing
- Bio-medical programming
Long master thesis
| 4. semester | Thesis work | |||||||||||||||||||||||||||||
| 3. semester | Master courses | Thesis work | ||||||||||||||||||||||||||||
| 2. semester | Master course | Master course | Thesis work | |||||||||||||||||||||||||||
| 1. semester | Master course | Master course | Master course | |||||||||||||||||||||||||||
| 10 ECTS credits | 10 ECTS credits | 10 ECTS credits | ||||||||||||||||||||||||||||
Short master thesis
| 4. semester | Thesis | |||||||||||||||||||||||||||||
| 3. semester | Master courses | |||||||||||||||||||||||||||||
| 2. semester | Master courses | |||||||||||||||||||||||||||||
| 1. semester | Master courses | |||||||||||||||||||||||||||||
| 10 ECTS credits | 10 ECTS credits | 10 ECTS credits | ||||||||||||||||||||||||||||
Relevant courses
Autum courses
INF5610 - Mathematical modeling in medicine
INF5620 - Numerical methods for partial differential equations
INF4300 - Digital image analysis
STK4030 - Modern data analysis
INF4470 - Digital signalbehandling
INF-MAT4350 - Numerical linear algebra (discontinued)
MAT-INF4300 - Partial differential equations and Sobolev spaces I
INF-MAT5360 - Mathematical optimization (discontinued)
Spring courses
INF5600 - Iterative methods and multigrid (discontinued)
INF5670 - Numeriske metoder for Navier-Stokes likninger
INF4350 - Grunnkurs i bioinformatikk
MAT-INF4310 - Partial differential equations and Sobolev spaces II
INF-MAT5340 - Spline methods
INF-MAT5350 - Numerical analysis
Recommended courses for Master students - Biomedical Informatics
Background from Programming and networks and similar
Autumn courses
INF4490 - Biologically inspired computing
INF4820 - Algorithms for artificial intelligence and natural language processing
INF5750 - Open source software development
INF5780 - Open source, open collaboration and innovation
Spring courses
INF3380 - Parallellprogrammering for naturvitenskapelige problemer
INF3800 - Søketeknologi
INF4350 - Grunnkurs i bioinformatikk
INF5270 - Design av interaktive nettsteder
INF5390 - Kunstig intelligens
Background from Mathematics, informatics and technology (MIT), or similar
Autumn courses
INF4490 - Biologically inspired computing
INF4820 - Algorithms for artificial intelligence and natural language processing
STK 4020 - Bayesian statistics
STK4030 - Modern data analysis
STK4050 - Statistical simulations and computation
Spring courses
INF3380 - Parallellprogrammering for naturvitenskapelige problemer
INF3800 - Søketeknologi
INF4350 - Grunnkurs i bioinformatikk
INF5390 - Kunstig intelligens
UNIK4590 Mønstergjenkjenning
INF-MAT4350 - Numerical linear algebra
List of courses offered at the Department of Informatics