Master of Science in Data Science
A comprehensive Master's programme integrating computer science and mathematics to master modern data-driven methodologies.
Best for:Best for students with a strong background in mathematics and computer science seeking a rigorous, research-oriented Master's degree.
Overview
The Master of Science in Data Science at the University of Augsburg provides a rigorous education in the core concepts and methods of data science. The curriculum combines advanced training in computer science and mathematics, with a strong emphasis on understanding the theoretical foundations and limitations of analytical methods. Students engage in compulsory coursework, scientific projects, and a final Master's thesis, with opportunities to apply their skills in interdisciplinary fields such as medicine, economics, and physics. The programme is designed for students with a strong background in quantitative disciplines who seek to excel in the modern digital landscape.
What you'll do
- Complete core modules in algorithms, data engineering, and machine learning.
- Select advanced elective modules in mathematics or computer science to specialize.
- Participate in scientific project work to apply theoretical knowledge to practical problems.
- Engage in seminars focusing on mathematics, computer science, and the ethics of data science.
- Conduct independent research and write a Master's thesis.
Requirements
Degree required: Bachelor's degree in Mathematics, Computer Science, or a closely related field.
Degree offered: Master of Science
Language: English; B2 level (e.g., IELTS 5.5, TOEFL iBT 72, or equivalent).
Instruction: English
- Proficiency in multivariate calculus and analysis.
- Strong foundation in linear algebra.
- Experience with higher programming languages.
- Practical programming experience gained through lab courses or projects.
- Knowledge of algorithms or numerical methods.
- Understanding of discrete structures, databases, or data engineering.
- Foundational knowledge in data science or machine learning.
- Must hold or be near completion of a relevant Bachelor's degree.
- Must pass an aptitude assessment.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: 2025-09-01
Applications are submitted via the university's online portal. Non-EU citizens are strongly encouraged to apply by 1 May for the winter semester or 1 December for the summer semester to allow sufficient time for visa processing.
- Bachelor's degree certificate
- Official language proficiency certificate
- Academic transcripts
Contact
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