Applied Statistics (MSc)
Georg August Universitat Gottingen · Göttingen, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Göttingen
- Apply by
- <p>Berlin Time Zone: UTC+2 / UTC+1</p> <p><strong>Applications are accepted only for the winter semester.</strong></p> <ul> <li>Application window for <strong>citizens from the EU/EEA (European Economic Area) OR applicants with a Bachelor’s degree from an EU/EEA country</strong> beginning in the winter semester: <strong>1 April to 15 May of the same calendar year (until 11:59pm UTC+2)</strong></li> <li>Application window for <strong>citizens from non-EU/non-EEA (European Economic Area) countries AND a Bachelor’s degree from outside an EU/EEA country</strong> beginning in the winter semester: <strong>1 October to 15 November of the previous calendar year (until 11:59pm UTC+1)</strong></li> </ul>
- Starts
- Winter semester
Georg August Universitat Gottingen does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Admission to the Master’s programme in Applied Statistics is competitive. Admission into the programme is based on proof of relevance of previous studies. Proof of relevance of previous studies 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. Completed 60 ECTS credits and course work in statistics, mathematics, computer sciences, or another quantitative subject including 24 ECTS credits in statistics, and a minimum of 12 ECTS from the modules must be from coursework that is of intermediate or advanced levels. Proof of relevant language skills English language skills For a list of accepted documents, see the required application documents . Please note If you have not completed your degree at the time of application, the current average score will be calculated
- English language requirement
- B2 required, please provide an official language certificate, e.g.: PTE Academic: 59 UNIcert® English: UNIcert® II TOEFL iBT (before 2026): 80 IELTS Academic: 5.5 Cambridge English Qualifications: B2 First
- German language requirement
- No minimum language level required
- Application period
- Berlin Time Zone: UTC+2 / UTC+1 Applications are accepted only for the winter semester. Application window for citizens from the EU/EEA (European Economic Area) OR applicants with a Bachelor’s degree from an EU/EEA country beginning in the winter semester: 1 April to 15 May of the same calendar year (until 11:59pm UTC+2) Application window for citizens from non-EU/non-EEA (European Economic Area) countries AND a Bachelor’s degree from outside an EU/EEA country beginning in the winter semester: 1 October to 15 November of the previous calendar year (until 11:59pm UTC+1)
- Apply through
- Please check this website .
About this programme
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.
Applied Statistics (MSc) at other universities
- Applied Statistics — Dartmouth College
- Applied Statistics — University at Albany - State University of New York
- Applied Statistics — Rochester Institute of Technology RIT
- Applied Statistics — Baylor University
- Applied Statistics — California Baptist University
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