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The programme 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. Depending on your interests, you will work towards your thesis at a company, a governmental institution or a research unit at LiU. There you can apply your knowledge to a real problem and meet people who use advanced data analytics in practice or you can go deeper into the research.
Programme overview
Main Subject
Engineering - General
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The programme 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. Depending on your interests, you will work towards your thesis at a company, a governmental institution or a research unit at LiU. There you can apply your knowledge to a real problem and meet people who use advanced data analytics in practice or you can go deeper into the research.
Admission Requirements
6+
3+
90+
Bachelor's degree equivalent to a Swedish Kandidatexamen within statistics, mathematics, applied mathematics, computer science, engineering or a similar degree. Completed courses with passing grade in following subjects: - calculus - linear algebra - statistics - programming English corresponding to the level of English in Swedish upper secondary education (English 6/B). Exemption from Swedish 3.
2 Years
Aug
Tuition fees
International
232,000 SEK
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Statistics and Machine Learning
Campus Valla, Linköping, Sweden
24 monthsProgramme duration
232,000 SEKTuition Fee/year
Engineering - GeneralMain Subject Area
Programme overview
Main Subject
Engineering - General
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Engineering - General
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Admission Requirements
- calculus
- linear algebra
- statistics
- programming English corresponding to the level of English in Swedish upper secondary education (English 6/B). Exemption from Swedish 3.
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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