Applied Statistics (M.Sc.)
Features
As a statistician, you are urgently needed in a wide range of industries. Since many students discover their enthusiasm for statistics during their bachelor's degree, our master's programme is designed in such a way that students with bachelor's degrees in a wide range of subjects can also complete it: From business administration and economics to psychology and forestry. The programme focuses on practical relevance. You will not only learn the methodology, but also how to practically implement the analysis of complex data in software packages such as R and finally prepare and present it in a generally understandable way. You can do the internship, the project seminar and the final thesis together with a practice partner from the business world to gain first-hand experience and important contacts. To ensure that you are optimally prepared for your desired career, you have the opportunity to specialise in the subsidiary subjects of economics, life sciences, empirical social research and computer science.
- Name:
- Applied Statistics
- Degree:
- Master of Science (M.Sc.)
- Standard period of study:
- 4 semesters
- Start:
- Winter semester
- Language of the programme:
- German and English
- Admission:
- restricted online application and admission
- Orientation events:
- Orientation events are offered
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Details
The programme is designed so that students with bachelor's degrees in a wide range of subjects can take it up. In particular, you do not need a Bachelor's degree in mathematics or statistics. The only requirement is 60 credits in modules on statistics, mathematics, computer science and quantitative methods, such as those included in the Bachelor's programmes in Business Administration, Economics or Psychology. The basic modules at the beginning ensure that everyone is at the same level of knowledge.
To enable you to optimally adapt your studies to your desired career path, the degree programme gives you great freedom in the choice of content. After the first semester, the proportion of compulsory modules is low. And a minor subject with special courses with a high level of application prepares you for your future career - currently you can choose from economics, life sciences, empirical social research and computer science.
In your seminars and final theses, you will work on current, practice-relevant issues that deal with real challenges from the practical world. The degree programme also includes a statistical internship, in which you carry out a statistical analysis together with a project partner from industry or academia. In addition, you can have a voluntary internship credited in the elective area.
In the economic sphere and in industry, as well as in numerous areas of modern research, there is a high demand for well-qualified young talent with in-depth knowledge of statistics. Generally speaking, statisticians are required wherever decisions have to be made based on complex data structures and in conditions of uncertainty.
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.
Related and consecutive/graduate programmes
Consecutive/graduate programmes
Structure
The Master's Programme in Applied Statistics is designed to take four semesters. 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.
Detailed information on the degree programme and a detailed list of the modules/courses offered can be found on the degree programme website of the Faculty of Business and Economics.
Recommended course of studies
Regulations and module directory
Application
Application deadlines
Please apply from
- April 1 to May 15 to commence studies in the winter semester (October)
Previous Education
- A minimum of six semesters of study culminating in a bachelor’s degree or an equivalent course of study with a minimum of 180 ECTS credits in Statistics, Mathematics, Computer Sciences, Economics, Agricultural Economics or a closely related discipline (e.g. empirical Social Sciences and Psychology).
- Applicants must have completed at least 150 of the 180 ECTS credits at the time of application. Unfortunately, we cannot consider applications that do not meet this requirement.
Language Requirements
- English language skills
- German language skills, if German is not your native language
Impressions
Specialization in 8 master's programmes
After the bachelor's degree you can deepen and expand your knowledge in eight consecutive master's programmes at the faculty. We offer Master's programmes in Business Administration, Economics, Business Information Systems, Business and Human Resource Education, Applied Statistics and History of Global Markets. Some master's programmes even include a double degree programme with renowned universities in Europe, South Africa and China. See in the video (in German) why it is worthwhile to study in Göttingen.
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Platz der Göttinger Sieben 3
Room: 1.135, Oeconomicum, 1. Obergeschoss
37073 Göttingen
Phone: +49-551 39 28800
E-Mail: studienberatung@wiwi.uni-goettingen.de
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