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Masters Degrees in Applied Statistics, Sweden

We have 2 Masters Degrees in Applied Statistics, Sweden

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With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Read more
With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry.

The master program prepares students for careers as statisticians in both the private and the public sectors. Statistical methods are used all over the world and the students of the master program gain access to the international job market. The program gives the students training for a profession as a statistician. At the same time the program prepares the student for studies at the Ph.D. level. The training covers many areas of statistical theory and practice giving opportunities to work in different fields of application of statistical methodology, although a focus of the program is on applications within the economic and social sciences. The program is particularly well suited for students interested in a career in official statistics. It is the only Swedish master program and one of twelve in total that has been certified by Eurostat (the statistical office of the European Union) to offer a European Master in Official Statistics (EMOS). The program is made up of four semesters of courses. The program starts with a course in mathematics and a course in statistical theory. During the first year students will, in addition, take two courses in econometrics, two courses on the theories and methods in the area of survey methodology and courses in computational statistics and Bayesian statistics. The third and the fourth semesters each includes two courses and one 15 credits master thesis. The students write two master theses in the program, one during the third semester and one during the fourth semester. A European Master in Official Statistics can be obtained by taking courses aimed towards official statistics during the third semester, conducting an internship at Statistics Sweden or another statistical agency during the fourth semester and writing a thesis that is relevant for the production of official statistics. After completion of the program, the student has the training needed to take a leading role in the design and implementation of statistical surveys and analyses as well as the ability to contribute to the developments of statistical methodology.

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Data is the driving force behind today's information-based society. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems. Read more

Data is the driving force behind today's information-based society. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems.

The programme focuses on modern methods from machine learning and database management that use the power of statistics to build efficient models, make reliable predictions and optimal decisions. The programme provides students with unique skills that are among the most valued on the labour market.

The rapid development of information technologies has led to the overwhelming of society with enormous volumes of information generated by large or complex systems. Applications in IT, telecommunications, business, robotics, economics, medicine, and many other fields generate information volumes that challenge professional analysts. Models and algorithms from machine learning, data mining, statistical visualisation, computational statistics and other computer-intensive statistical methods included in the programme are designed to learn from these complex information volumes. These tools are often used to increase the efficiency and productivity of large and complex systems and also to make them smarter and more autonomous. This naturally makes these tools 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 analytics in practice.



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