Master of Science in Applied Data Science
Interdisciplinary master’s programme combining mathematics, computer science, statistics, and application-specific domains in data science.
Best for:Best for graduates with a background in data science, computer science, statistics, or mathematics seeking a research-focused master’s programme with interdisciplinary specialisation options.
Overview
The Master of Science in Applied Data Science at the University of Göttingen offers a research-oriented programme that equips students with advanced skills in data science methods from computer science, mathematics, and statistics. Students specialise in one of several application domains, including Computational Neuroscience, Bioinformatics, Medical Data Science, Digital Humanities, Computational Sustainability, Digital Business Administration, or Physical Modelling and Data Analysis. The programme emphasises autonomous research, ethical considerations in data handling, and practical industry exposure through integrated internships or lab rotations. It is designed for graduates with a strong foundation in data science, computer science, statistics, or related fields, aiming to prepare them for careers in research, industry, or further academic study.
What you'll do
- Develop and apply advanced data science methods from computer science, mathematics, and statistics to solve real-world problems.
- Specialize in one of several application domains such as Computational Neuroscience, Bioinformatics, or Digital Business Administration.
- Conduct autonomous research projects as part of the core curriculum and master’s thesis.
- Engage in ethical reflection on data collection, analysis, and automated decision-making processes.
- Participate in a research lab rotation or industry internship to gain practical experience.
- Acquire key competencies in professionalisation, including communication of research insights and intercultural skills.
- Complete elective courses tailored to individual interests and professional ambitions.
Requirements
Degree required: Bachelor’s degree with at least 180 ECTS credits (or a minimum of 135 ECTS for application if the degree is not yet awarded). At least 60 ECTS must be completed in data science, computer science, statistics, mathematics, or a related field.
Degree offered: Master of Science (MSc)
Language: English proficiency at C1 level (IELTS Academic: 6.5, TOEFL iBT: 95, UNIcert® English: UNIcert® III)
Instruction: English (with some elective courses in German, particularly in Digital Business Administration and Physical Modelling and Data Analysis)
- Strong background in data science, computer science, statistics, or mathematics
- Proficiency in applying mathematical and statistical methods to data analysis
- Ability to conduct autonomous research projects
- Familiarity with ethical considerations in data science
- Experience with programming and computational tools relevant to data science
- No German language skills required for admission
- Applicants must meet the ECTS requirements in data science, computer science, statistics, or mathematics
- Open to applicants from all countries with no nationality restrictions
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 1 November (summer semester) / 1 May (winter semester)
Applicants must submit their application through the official university portal. Required documents include a CV, proof of English proficiency, academic transcripts, and a statement of purpose. Shortlisted candidates will be invited for a personal interview conducted via video call.
- CV
- Proof of English proficiency (IELTS, TOEFL, or UNIcert®)
- Academic transcripts and degree certificate (or proof of 135+ ECTS if degree not yet awarded)
- Statement of purpose or research proposal
- Proof of ECTS credits in data science, computer science, statistics, or mathematics (minimum 60 ECTS)
- Passport-sized photo
Contact
International Office· Admissions Contact
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