This type of self-learning programs are behind much of the recent breakthroughs in artificial intelligence.
University of Bergen's Machine Learning degree gives the candidate a good understanding on the theoretical aspects of machine learning as well as practical application of machine learning methods.Programme profile
The machine learning group concentrates on core of machine learning: development of new methods and better algorithms for machine learning tools. Our master programme gives a good understanding on the theoretical aspects of machine learning as well as practical application of machine learning methods.
Get more detailsVisit official programme website
- understands theoretical basis of machine learning
- knows strengths and weaknesses of the main types of machine learning methods and can choose an appropriate one for problems at hand.
- 24 months
Start dates & application deadlines
- Apply before , National
- Apply before , EEA/EU
DisciplinesInformatics & Information Sciences Machine Learning View 3 other Masters in Machine Learning in Norway
We are not aware of any academic requirements for this programme.
- Bachelor degree in Computing from HVL (Western Norway University of Applied Sciences)
- Bachelor degree in Information Technology from HVL
- Bachelor degree in Communication Systems from HVL
InternationalFreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
The semester fee is NOK 590
Living costs for Bergen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.