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

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2024-08-21 00:00:00
- Apply before 2024-01-16 00:00:00

Language

English

IELTS

6.5

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TOEFL^® IBT

90

Credits

120 ECTS

Delivered

On Campus

Disciplines

Statistics Data Science & Big Data Machine Learning View 18 other Masters in Data Science & Big Data in Sweden

Academic requirements

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

English requirements

IELTS

6.5

Start preparing for IELTS today!

TOEFL^® IBT

90

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 now

Starting 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 Linköping University and/or in Sweden, please visit Student Insurance Portal.

Other requirements

General requirements

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.

Tuition Fee

To always see correct tuition fees

International

20550 EUR/year

Tuition Fee

Based on the tuition of 20550 EUR per year during 24 months.
EU/EEA

Free

Tuition Fee

Based on the tuition of 0 EUR per year during 24 months.

SEK 232000

Living costs for Linköping

7140 - 11270 SEK /month

Living 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.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

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.

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Scholarships Information

Below you will find Master's scholarship opportunities for Statistics and 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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