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. At least 30 credits must be from the program structure.

The programme has three programme options

Long master thesis

4. semester Thesis work
3. semester Master course 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 course Master course Master course
2. semester Master course Master course Master course
1. semester Master course Master course Master course
  10 ECTS credits 10 ECTS credits 10 ECTS credits

Recommended courses

Nanoelectronics:
Autumn courses
INF4411 – Analog microelectronics (discontinued)
INF4431 – Digital systemkonstruksjon (continued)
INF5442 – Image Sensor Circuits and Systems (continued)
INF5481 – RF-kretser, teori og design (continued)
UNIK4170 – Digital communications (continued)

Spring courses
INF4420 – Microelectronics Design Project (discontinued)
INF5300 – Utvalgte emner i digital bildeanalyse (discontinued)
INF5430 – Advanced digital systems design (continued)
INF5460 – Electrical noise – counter measures and calculation (continued)
MAT-INF4310 – Partial differential equations and Sobolev spaces II (continued)
MNKOM4000 – Formidling og vitenskapsjournalistikk
FYS4260 – Microsystems and Electronic Packaging and Interconnection Technologies
STK4900 – Statistical Methods and Applications
FYS4310 – Material Science of Semiconductors
UNIK4150 – Antennas and radiowave propagation (continued)
UNIK4330 – Imaging and detection of optical and infrared radiation (continued)
UNIK4690 – Maskinsyn (continued)

Robotics and intelligent systems:
Autumn courses
INF4130 – Algoritmer: Design og effektivitet (discontinued)
INF4300 – Digital image analysis (continued)
INF4431 – Digital systemkonstruksjon (continued)
INF4470 – Digital signalbehandling (continued)
INF4490 – Biologically Inspired Computing (continued)
INF4820 – Algorithms for artificial intelligence and natural language processing (discontinued)
INF5442 – Image Sensor Circuits and Systems (continued)
MUS4831 – Sound analysis (discontinued)
UNIK4490
UNIK4500 – Stochastic systems (continued)
UNIK4590 – Pattern Recognition (continued)
UNIK4950

Spring courses
INF4380 – Introduction to robotics (continued)
INF4500 – Rapid prototyping of robotic systems (continued)
INF5430 – Advanced digital systems design (continued)
INF5860 – Machine Learning for Image Analysis (continued)
FYS4240 – Data Acquisition and Control
FYS4260 – Microsystems and Electronic Packaging and Interconnection Technologies
MUS4218 – Methodological topic: Cognitive musicology (discontinued)
UNIK4690 – Maskinsyn (continued)
STK4900 – Statistical Methods and Applications

Signal processing:
Madatory course:
INF4480 – Digital Signal Processing II (continued)

Autumn courses
INF4300 – Digital image analysis (continued)
MAT-INF4130 – Numerical Linear Algebra (discontinued)

Spring courses
INF4480 – Digital Signal Processing II (continued)
INF5300 – Utvalgte emner i digital bildeanalyse (discontinued)
INF5410 – Signal processing in space and time (continued)
FYS4260 – Microsystems and Electronic Packaging and Interconnection Technologies

Recognition of Master courses from former education

If you are admitted to the Masters Programme and you have completed Master courses outside the University of Oslo, you may apply to have these courses recognised as part of your degree. Please contact the Department of Informatics for more information.

Diploma and degree

This programme leads to the following degree: Master of Science in Informatics: nanoelectronics and robotics

Published June 6, 2012 10:00 AM - Last modified Sep. 26, 2017 10:47 AM