MSc in Statistics and Data Mining

Linköping University

Program Description

MSc in Statistics and Data Mining

Linköping University

There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex datasets to improve analysis, prediction and decision‑making. The programme focusses on modern developments at the intersection of statistics, artificial intelligence and database management, providing students with unique skills that are attractive on the labour market.

With the growth of computer capabilities, databases are becoming larger and more complex, making traditional statistical methods less effective, and in some cases unsuitable. Data from economic transactions, individual health records, internet searches, and environmental data are just a few examples of the content of enormous databases that challenge professional analysts. In these data-rich environments methods from data mining, machine learning, statistical visualisation, computational statistics and other computer-intensive statistical methods included in the programme have become increasingly popular with both governmental agencies and the private sector.

Programme description

There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex databases to improve analysis, prediction and decision‑making. The programme focusses on modern developments in the intersection of statistics, machine learning, artificial intelligence and database management, providing students with unique skills that are attractive on the labour market.

With the growth of computer capabilities, databases are becoming larger and more complex, making traditional statistical methods less effective, and in some cases unsuitable. Data from economic transactions, individual health records, internet searches, and telecommunications are just a few examples of the content of enormous databases that challenge professional analysts. In these data-rich environments, methods from data mining, machine learning, statistical visualisation, computational statistics and other computer-intensive statistical methods included in the programme have become increasingly popular with both governmental agencies and the private sector.

The programme is designed for students who have basic knowledge of mathematics, applied mathematics, statistics and computer science and have a bachelor’s degree in one of these areas, or an engineering degree.

Most of the courses included in the programme provide students with deep theoretical knowledge and practical experience from massive amounts of laboratory work.

Students will be given the opportunity to learn:

  • how to use classification methods to improve a mobile phone’s speech recognition software ability to distinguish vowels in a noisy environment
  • how to improve directed marketing by analysing shopping patterns in supermarkets’ scanner databases
  • how to build a spam filter
  • how to provide early warning of a financial crisis by analysing the frequency of crisis-related words in financial media and internet forums
  • how to estimate the effect that new traffic legislation will have on the number of deaths in road accidents
  • how to use a complex DNA microarray dataset to learn about the determinants of cancer
  • how interactive and dynamic graphics can be used to determine the origin of an olive oil sample.

The programme contains a wide variety of courses that students may choose from. Students willing to complement their studies with courses given at other universities have the possibility to participate in exchange studies during the third term. Our partner programmes were carefully selected in order to cover various methodological perspectives and applied areas.

During the final term of the programme, students receive help in finding a private company or a government institution where they can work towards their thesis. There they can apply their knowledge to a real problem and meet people who use advanced data analysis in practice.

Career opportunities

There is a rapidly increasing demand for specialists able to analyse large and complex systems and databases with the help of modern computer-intensive methods. Business, telecommunications, IT and medicine are just a few examples of areas where our students are in high demand and find advanced analytical positions after graduation.

Students aiming at a scientific career will also find the programme the ideal background for future research. Many of the programme's lecturers are internationally recognised researchers in the fields of statistics, data mining, machine learning, database methodology and computational statistics.

This school offers programs in:
  • English


Last updated November 27, 2016
Duration & Price
This course is Campus based
Start Date
Start date
Aug. 2017
Duration
Duration
2 years
Full time
Price
Price
95,000 SEK
Information
Deadline
Jan. 16, 2017
Late applications might be considered.
Start date Aug. 2017
Place
Sweden Linköping
Application deadline Jan. 16, 2017
Late applications might be considered.
End date Request Info
Duration 2 years
Price 95,000 SEK
All others ( per academic year ) ; Citizens from within the EU/EEA and Switzerland: No tuition fees
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Statistics and Data Mining at Linköping University