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Overview
The Statistics and Machine Learning programme from Linköping University focusses on modern methods from machine learning and database management that use the power of statistics to build efficient models and make reliable predictions and optimal decisions. You will gain deep theoretical knowledge as well as practical experience from extensive amounts of laboratory work. If you want to complement your studies with courses at other universities, you can participate in exchange studies during the third semester.
This programme is for you if you aspire to learn how to:
- improve the ability of a mobile phone’s speech recognition software to distinguish vowels in a noisy environment
- provide early warning of a financial crisis by analysing the frequency of crisis-related words in financial media and internet forums
- improve directed marketing by analysing shopping patterns in supermarkets’ scanner databases
- build an effective spam filter
- estimate the effect that new traffic legislation will have on the number of deaths in road accidents
- use a complex DNA microarray dataset to learn about the risk factors of cancer
- determine the origin of an olive oil sample with the use of interactive and dynamic graphics
Get more details
Visit official programme websiteProgramme Structure
Courses Included
- Statistical methods
- Advanced R programming
- Advanced Academic studies
- Introduction to Machine Learning
- Advanced Data Mining
- Big Data Analytics
- Introduction to Python
- Philosophy of Science
- Bayesian Learning
- Computational statistics
- Time series analysis
- Multivariate Statistical Methods
- Web Programming
- Neural networks and learning systems
- Visualization
- Advanced Machine Learning
- Probability Theory
- Decision Theory
- Data Mining Project
- Text mining
- Database Technology
- Master's thesis
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
120 ECTS
Delivered
On Campus
Disciplines
Statistics Data Science & Big Data Machine Learning View 4 other Masters in Machine Learning in SwedenAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 90
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6.5
Other requirements
General requirements
- Bachelor's degree equivalent to a Swedish Kandidatexamen within statistics, mathematics, applied mathematics, computer sicence, engineering or a similar degree. Courses in calculus and linear algebra, statistics and programming are also required.
- English corresponding to the level of English in Swedish upper secondary education (English 6/B).
Tuition Fee
-
International
9053 EUR/yearTuition FeeBased on the original amount of 18106 EUR for the full programme and a duration of 24 months. -
EU/EEA
FreeTuition FeeBased on the original amount of 0 EUR for the full programme and a duration of 24 months.
SEK 190000
Funding
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.
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Due for update
Updated over a year ago
Check the official programme website for potential updates.