Overview
The Department of Information Technology facilitates research into an immeasurable number of exciting questions and areas, covering a wide range of areas and methods for applying computers and data analysis in a variety of scientific and educational contexts.
About the programme
learning deals with computer programs that process data, extract useful information, predict unknown variables, and/or suggest decisions. Machine learning automates this data analysis and the computer program used is often the result of learning from the data. Machine Learning at at Uppsala University combines of mathematics and computer programming.
Programme Structure
The cornerstones of the subject consist of:
- data (usually very large data sets, so-called big data)
- mathematical models
- statistical methods
- learning algorithms
- algorithms for decision-making
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Prospective doctoral students apply for vacancies.
Language
Credits
Delivered
Disciplines
Machine Learning View 3 other PhDs in Machine Learning in SwedenAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Uppsala University and/or in Sweden, please visit Student Insurance Portal.
Other requirements
General requirements
A person meets the general entry requirements for PhD Programmes if he or she:
- has been awarded a second-cycle qualification;
- has satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle; or
- has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 SEK per year during 48 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 SEK per year during 48 months.
- PhD programmes are free of charge in Sweden, regardless of citizenship.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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