This Statistics and Machine Learning programme from Linköping University meets the challenges of learning from these complex volumes by means of models and algorithms from machine learning, data mining and other computer-intensive statistical methods. By joining us, you will increase the efficiency and productivity of the systems and make them smarter and more autonomous.
Statistics and Machine Learning, M.Sc.
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- UnknownApplication Deadline
- 24 monthsDuration
- UnknownTuition Fee8916 EUR/yearTuition FeeFreeTuition Fee
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
Programme 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
Detailed Programme Facts
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Starting in
You can apply until:
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Everyone
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Always verify the dates on the programme website.
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- Programme intensity Full-time
- Full-time duration 24 months
- Credits 120 ECTS
- Languages
- English
- Delivery mode On Campus
English Language Requirements
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Minimum required score:
6.5The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.
Get a free IELTS practice test -
Minimum required score:
90The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.
Schedule TOEFL® -
Minimum required score:
575The TOEFL®PBT is administered in a paper format and measures your ability to use and understand English in a classroom setting at the college or university level. It accurately measures how well you can listen, read and write in English while performing academic tasks. Read more about TOEFL®PBT.
Schedule TOEFL®
Academic Requirements
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This programme does not recognise GRE® scores.
The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. The GRE® General Test contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
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
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International Applies to you
8916 EUR/yearTuition FeeBased on the original amount of 17835 EUR for the full programme and a duration of 24 months. -
EU/EEA Applies to you
FreeTuition FeeBased on the original amount of 0 EUR for the full programme and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
- 190000 kr
Living costs for Linköping
- 7140 - 11270 SEK/monthLiving Costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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Statistics and Machine Learning, M.Sc.
Linköping University
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