Data Science and Artificial Intelligence (MSc)
A research-oriented Master's programme at the Saarland Informatics Campus focusing on advanced data analysis and autonomous systems.
Best for:Best for students with a strong background in computer science or informatics seeking a research-intensive Master's degree in AI.
Overview
The Master of Science in Data Science and Artificial Intelligence at Saarland University is a comprehensive, research-driven programme situated within the Saarland Informatics Campus. Students benefit from a unique collaborative environment involving the Max Planck Institutes for Informatics and Software Systems, the German Research Center for Artificial Intelligence (DFKI), and the Helmholtz Center for Information Security (CISPA). The curriculum covers a broad spectrum of topics including machine learning, statistical modelling, big data, and autonomous systems. The programme is designed to prepare students for high-level scientific careers through a flexible course structure and a mandatory final research thesis.
What you'll do
- Complete 90 credit points through a combination of core lectures, advanced lectures, and seminars.
- Select specialised courses tailored to individual research interests and career goals.
- Conduct independent research and write a Master's thesis in the fourth semester.
- Engage with interdisciplinary research projects across partner institutes.
- Participate in seminars and academic discussions within the Saarland Informatics Campus.
Requirements
Degree required: Bachelor's degree in computer science, informatics, or a related field (minimum 180 CP).
Degree offered: MSc
Language: English; C1 level (e.g., TOEFL iBT 95, IELTS 7.0, or equivalent).
Instruction: English
- Proficiency in mathematics including discrete mathematics, real analysis, linear algebra, and statistics.
- Foundational knowledge in theoretical informatics such as complexity and computability theory.
- Competence in practical informatics including functional and object-oriented programming, data structures, and algorithms.
- Academic background in machine learning, artificial intelligence, or data mining.
- English language proficiency at C1 level.
- Hold a Bachelor's degree from a German university or an equivalent qualification from a foreign institution.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the official university portal. The process requires a personal statement and two letters of recommendation from academic referees.
- Personal statement
- Two letters of recommendation
- Bachelor's degree certificate
- Official English language certificate
Contact
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