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

You can apply for and start this programme anytime.

More details

Prospective doctoral students apply for vacancies.

Language

English

TOEFL^® IBT

90

Schedule TOEFL®

PTE Academic

62

Schedule a PTE test!

IELTS

6.5

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Credits

240 ECTS

Delivered

On Campus

Campus Location

Visby, Sweden

Disciplines

Machine Learning View 3 other PhDs in Machine Learning in Sweden

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

90

Schedule TOEFL®

PTE Academic

62

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

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.

Student Insurance via Studyportals Partner

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