Data Science (MSc)
A research-oriented Master's programme focusing on AI-supported decision-making, causal inference, and modern data analysis techniques.
Best for:Best for students with a strong background in mathematics, computer science, or statistics seeking to specialize in advanced data analysis and AI.
Overview
The Master of Science in Data Science at Technische Universität Ilmenau is an English-language programme designed to bridge the gap between scientific innovation and industrial application. Students engage with advanced topics including reinforcement learning, data assimilation, and Bayesian inference to address complex societal challenges. The curriculum emphasizes both theoretical mathematical foundations and practical IT skills such as cloud computing and data management. Graduates are prepared for professional roles in data-driven sectors, supported by a strong industry network and career-focused training.
What you'll do
- Complete advanced coursework in core Data Science subjects
- Engage in individual research projects throughout the programme
- Develop expertise in AI-supported decision-making models
- Apply state-of-the-art techniques to solve problems in climate, weather, or medical research
- Master IT tools for modern data analysis and cloud infrastructure
- Author a Master's thesis demonstrating independent research capability
Requirements
Degree required: Bachelor's degree in Data Science, Statistics, Mathematics, or Computer Science
Degree offered: MSc
Language: English; C1 level (e.g., IELTS 7.0, TOEFL iBT 95, or equivalent)
Instruction: English
- Strong foundation in Analysis and Linear Algebra
- Proficiency in Probability Theory and Statistics
- Experience with Programming and Algorithms
- Knowledge of Machine Learning fundamentals
- Competence in Database systems
- Must hold a relevant Bachelor's degree
- Must meet specific credit point requirements in mathematics and computer science modules
Funding & terms
Programme and admissions
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- Intake
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- Prerequisites
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- Tuition
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How to apply
Applications must be submitted through the university's online campus portal. Applicants should provide academic transcripts, module descriptions, and proof of English language proficiency for assessment.
- Bachelor's degree certificate
- Academic transcripts
- Detailed module descriptions
- English language proficiency certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.