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Datascience - M.Sc.

The two year masters course in statistics is built on the Data Analysis and Data Management B.Sc. and can be started in either the summer or winter semesters, and is run in cooperation with the Faculty of Information Technology and Faculty of Mathematics. The world of work is always changing and developing, and that's why only necessary methods, knowledge and information are taught, in order for the students to be able to write their theses to specific classifications of scientific knowledge, and act responsibly. Students who have already completed a B.Sc. in Data Analysis and Management or Mathematics can go on to do Masters under certain conditions. Exceptions can also be made on application. All courses are taught in German.

This course offers different Core and Elective Modules. The selection of modules are often chosen from a wide range of different opportunities according to the individual interests of the student. The opportunity to use what has been learned in selected modules, and can be practiced in the Practicals/Case-studies as well as the concluding Thesis. Research will also be done in the following areas: Multivariate and computer supported Statistics, Efficiency Algorythms and Optimisation, Data-security and the application of methods in chosen areas of study (Case-study, Seminars and Electives). Eleven modules, (including a 6 month thesis) all of which are examined during the course of the 2 years of study.

This masters course gives alumni the opportunity, moreso than the Data Analysis and Management B.Sc., to deepen research and broaden competence, as they can develop new methods and, as a specific example, manage large data projects. Experts in this field who have studied masters are highly sought after by many areas of finance, particularly for the independent handling of projects with large amounts of data.

The admission prerequisites for the masters course can be found in paragraph 3 of the masters exam information. Admission is possible through application to the exam office of the Statistics faculty.

Information on the course content can be found in the exam information.






Please take note that the course and exam information is in some cases temporary and therefore is subject to change at any time.