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 focuses 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.
Statistics and Data Mining, Master´s Programme
Autumn 2017, Full time 100%, Linköping, Campus Valla
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 a 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 the ability of a mobile phone’s speech recognition software 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.