Applied Statistics

University of Göttingen

M.Sc. On Campus
24 months
Tuition fee
Apply date
Start date


Applied statistics is a key tool to help us navigate the information society, enabling us to effectively collect, integrate, and analyze data. The Master of Science in Applied Statistics is offered by University of Göttingen. 


Applied statistics helps us to develop and apply general methods and tools to analyze large and complex amounts of data from different sources for objective analysis. Applied statistics is also an interdisciplinary area of study that combines the synergies of mathematics, statistics, and computer science. The focus of the Master's programme in Applied Statistics from University of Göttingen. is statistical modeling as well as providing students with a balanced understanding of both mathematics and its practical applications. Students also select a specialization within the programme in either Economic Sciences, Life Sciences, Empirical Social Research and Computer Sciences.

Practical Experience

In particular, a key component of the programme is an internship that provides students the opportunity to apply their theoretical knowledge. The internship can take place at either the university or a business or organisation. Additionally, the programme will also provide special modules pertaining to the different fields of selected concentrations. Lastly, students will also gain practical skills through training in various statistical software packages.

Learning Objectives

The Master of Applied Statistics offers: 

  • A deep understanding of the most important statistical models and analytical tools for practical analysis of complex data, as well as the ability to analyze new types of problems
  • Training in various statistical software packages, including analysis and programming
  • The ability to understand the results of statistical analysis and to convey the information to a lay audience
  • A host of key skills that can be self-elected
  • Knowledge of data protection and data security

Career Perspectives

Employment prospects for statisticians are excellent and remain in high demand for the foreseeable future. Statisticians are needed in any industry where decision-making is based on complex data analysis. The following examples illustrate the wide array of fields in which statisticians are employed: 

  • In medicine, statisticians are often employed in the pharmaceutical sector for planning and implementation of clinical studies, as well as for R&D. Statisticians are also in high demand in the area of public health and general health care management.
  • In the banking and insurance industries, statisticians are employed to evaluate portfolios, conduct risk analysis, evaluate various financial products, and calculate premiums.
  • Marketing and consumer opinion organizations need statisticians to design and execute surveys, as well as to analyze large, complex data sets on consumer behavior (for example, supermarket scanner data, or the purchasing behavior of consumers).
  • Statisticians are employed in general research departments across the public and private sectors, to design experiments, carry out research projects, and analyze the resulting data.
  • Statisticians are even found in the IT sector, working in areas such as search engine optimization, or for planning and managing resources.

Areas in which there is a particularly high demand for statisticians: 

  • Agricultural Sciences
  • Astronomy
  • Survey Methods
  • Survey Design
  • Biology
  • Census
  • Chemistry
  • Demography
  • Epidemiology
  • Education
  • Finance
  • Forestry
  • Genetics
  • Health Sciences
  • Computer science
  • Engineering
  • Clinical studies
  • Marketing
  • Medicine
  • National Security
  • Ecology
  • Pharmacology
  • Physics
  • Political Science
  • Production / Manufacturing
  • Psychology
  • Law
  • Government
  • Sociology
  • Sports Science / Athletics
  • Telecommunications
  • Livestock Management
  • Transportation
  • Insurance
  • Economics
  • Scientific Journalism
  • Zoology

Programme Structure

Courses Include:

  • Mathematical Foundations of Applied Statistics
  • Advanced Statistical Inference
  • Linear Models and their Mathematical Foundations
  • Introduction to R
  • Generalized Regression
  • Practical Statistical Training
  • Advanced Statistical Modelling
  • Statistical Programming with R
  • Specialisation on Application Field
  • Key Skills
  • Master's Thesis

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


Partially taught in English, Partially taught in German


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).

Other requirements

General requirements

Admission to the Master’s degree 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.

Tuition Fee

  • International

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.
  • National

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.

Semester contribution fee: 355 euro


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

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Applied Statistics
University of Göttingen