MSc Statistics and Data Mining, 120 credits
Degree: Master of Science with a major in statistics (120 credits)
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 focuses on modern developments in the intersection of statistics, artificial intelligence and database management, providing students with unique competence in the labour market.
With the growth of computer capabilities, databases become larger and more complex, making traditional statistical methods less effective or even unsuitable. Data from economic transactions, individual health records, internet search, and environmental data are just a few examples of the content of enormous databases awaiting thorough examination In these data-rich environments methods from data mining, statistical visualisation, computational statistics and other computer-intensive statistical methods included in the programme have become increasingly popular for 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 degree in one of these areas, or an engineering degree.
Students who have finished the bachelor’s programme Statistics and Data Analysis (Statistik och dataanalys) at LiU will find our master’s programme to be the natural continuation of their studies where they can learn more about various data analysis methods, including Bayesian methods, text mining and statistical methods in bioinformatics.
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 an early signal of a financial crisis by analysing the frequency of crisis-related words in financial media and internet forums
- how to estimate the effect that a new legislation on traffic has on the number of deaths
- how to use a complex DNA micro array dataset to learn about the determinants of cancer
- how interactive and dynamic graphics can be used to determine the origin of an olive oil.
Students will receive help in finding a private company or a governmental institution where they can write their thesis. There they will be able to apply their knowledge to a real problem and meet people who work mainly with advanced data analysis.
Employment and career opportunities
There is a rapidly increasing demand for specialists able to analyse large and complex systems and databases with help of modern computer-intensive methods. Do you know for example that Barack Obama’s administration was looking for Data Mining analysts for the elections in 2012?
The master’s programme opens up the opportunity to obtain high-profile jobs as senior data analysts or other advanced positions in private companies or governmental institutions within the technological, financial, medical etc. sectors.
Compared to the bachelor’s degree of the same subject, our master’s degree provides the opportunity to work with the development of methods and search for senior positions or jobs with a more analytical profile.
Students aiming at a scientific career will also find the programme an ideal background for future research. Many of the programme's lecturers are internationally recognised researchers in the fields of data mining, database methodology and computational statistics.
A bachelor’s degree with at least 90 credits, i.e. 18 months of full-time study, in mathematics, applied mathematics, statistics or computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Undergraduate courses in basic statistics and computer science are also required.
Each applicant must enclose a letter of intent written in English, explaining why they want to study this programme, and a summary of their bachelor's essay or project. If applicants hold a degree that does not include a bachelor's essay or project, then their letter of intent should describe previous studies and any other academic activities related to the master's programme.
All supporting documents, including the letter of intent and the specific paper, should be sent to University Admissions in Sweden, FE 1, SE-833 83 Stroemsund, Sweden.
Apply before 15 january
Go to universityadmissions.se
Tuition fees 2014/2015
- Citizens from within the EU/EEA and Switzerland: No tuition fees
- All others: 95,000 SEK (approx. USD14,000/10,400 Euro) per academic year
Oleg Sysoev, Programme Director
+46 13 28 22 63
Get the competitve edge
Last updated: 2013-11-21