Master of Science in Applied Statistics
A hands-on MSc programme in applied statistics with specialisations in economics, life sciences, social research, and computer science.
Best for:Best for students with a Bachelor’s degree in statistics, mathematics, computer science, economics, or related fields seeking a practical, interdisciplinary approach to applied statistics with industry collaboration opportunities.
Overview
The Master of Science in Applied Statistics at the University of Göttingen is designed for students from diverse academic backgrounds, including business, economics, psychology, and forestry. This four-semester programme focuses on practical statistical skills, teaching students how to implement data analysis in software like R and present findings clearly. Students can specialise in economics, life sciences, empirical social research, or computer science, and gain real-world experience through internships and collaborative projects with industry partners. The programme is fully taught in English and prepares graduates for careers in industry, research, or further academic study.
What you'll do
- Develop and apply statistical models to solve complex real-world problems in economics, life sciences, social research, or computer science.
- Conduct data analysis using statistical software such as R and present findings in an accessible manner.
- Collaborate with industry partners on practical projects, internships, and thesis work to gain hands-on experience.
- Specialize in one of four fields: economics, life sciences, empirical social research, or computer science.
- Write and defend a Master’s thesis based on original research or industry collaboration.
- Participate in seminars, workshops, and courses focused on advanced statistical techniques and applications.
Requirements
Degree required: Bachelor’s degree or equivalent (minimum 180 ECTS credits) in statistics, mathematics, computer science, economics, agricultural economics, or a closely related discipline (e.g., empirical social sciences, psychology).
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level (e.g., IELTS Academic 5.5, TOEFL iBT 80, PTE Academic 59, UNIcert® II, or equivalent).
Instruction: English
- Proven academic background in statistics, mathematics, or related quantitative fields.
- Completion of at least 150 ECTS credits at the time of application.
- 60 ECTS credits in statistics, mathematics, or computer science, including 24 ECTS in statistics (with at least 12 ECTS at intermediate or advanced level).
- Proficiency in statistical software such as R.
- Strong analytical and problem-solving skills.
- Citizenship from EU/EEA or a Bachelor’s degree from an EU/EEA country: application window from 1 April to 15 May (UTC+2).
- Citizenship from non-EU/non-EEA countries or a Bachelor’s degree from outside EU/EEA: application window from 1 October to 15 November (UTC+1, previous calendar year).
- At least 150 of the 180 required ECTS credits completed at the time of application.
- No minimum German language proficiency required.
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 May (UTC+2) for EU/EEA applicants or 15 November (UTC+1) for non-EU/EEA applicants (previous calendar year) (UTC+2 (Berlin Time Zone) or UTC+1)
Applicants must submit their application through the official university portal. Required documents include a completed application form, proof of degree and transcripts, proof of English proficiency, a CV, a letter of motivation, and any additional documents proving relevance of previous studies. The selection process involves an initial evaluation of the written application followed by personal interviews for shortlisted candidates.
- Completed application form
- Proof of Bachelor’s degree and transcripts
- Proof of English proficiency (B2 level)
- CV
- Letter of motivation
- Additional documents proving relevance of previous studies (e.g., course descriptions, syllabi)
Contact
International Office· Admissions Contact
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