Applied Statistics (M.Sc.)
Programme name: Applied Statistics
Degree: Master of Science (M.Sc.)
Standard period or study: 4 semesters
Starting semester: Winter semester
Admission: Limited admission (application to the Faculty)
Admission requirements: Statistics (B.Sc.) or Mathematics (B.Sc.) or Business Information Systems (B.Sc.) or Applied Computer Science (B.Sc.) or Economics (B.A.) or Business Administration (B.Sc.) or Agricultural economics (B.Sc.) or a degree (B.Sc. or M.Sc.) in a closely related subject
Application deadline: May 15th for winter semester
Application and Admission: Information about the application and admissions procedures
Language of the programme: German and English (sufficient language skills must be proven)
The focus in Göttingen here is on the field of statistical modelling. At a solid mathematical level, this course imparts methodical knowledge while simultaneously keeping the application in mind. Part of the degree consists in a practical statistical course. Students are required to select a field of application in which they attend in-depth classes.
In semesters 1 to 3, the students gain fundamental knowledge of statistical inference, statistical models and statistical modelling in the modules of the compulsory section. In the compulsory elective section, they can deepen their knowledge of statistical modelling and the selected field of application. Economics, Life Sciences, Empirical Social Research and Computer Sciences are currently available as choices for the fields of application.
In addition to this, the students work out statistical solutions to a given issue within the context of a practical statistical course, in cooperation with a practical partner. The Master of Applied Statistics is offered in both German and English. Sufficient competency in both languages will need to be demonstrated as part of the application process. The 4th semester is intended for writing the master's thesis.
Possible employers include, in particular, the insurance and reinsurance sector, banks, the IT sector, corporate consultancies, research and development departments of companies, enterprises in the pharmaceutical industry, public research institutes, colleges and universities, and statistical offices. The career prospects for statisticians are excellent and are set to remain so for the foreseeable future.