Master of Science in Data Science
A comprehensive Master's programme focused on advanced data analysis, machine learning, and industrial application.
Best for:Best for graduates in mathematics, computer science, physics, or electrical engineering seeking a career in advanced data analytics.
Overview
The Master of Science in Data Science at Chemnitz University of Technology provides students with rigorous training in extracting actionable insights from large, unstructured datasets. The curriculum integrates sophisticated mathematical foundations with modern computer science methodologies, covering areas such as machine learning, big data analytics, and statistical modeling. Students benefit from strong industrial partnerships, allowing for practical engagement through seminars, thesis projects, and collaborations with major companies. The programme is designed to prepare graduates for high-demand roles in sectors ranging from engineering and medicine to economics and digital humanities.
What you'll do
- Complete core coursework in Data Science, Machine Learning, and Data Modelling.
- Participate in industrial seminars and collaborative projects with partner companies.
- Apply mathematical and computational methods to solve real-world problems in diverse domains.
- Conduct independent research for the Master's thesis, often in collaboration with industry.
- Engage in international data mining competitions and academic projects.
Requirements
Degree required: Bachelor's degree in Mathematics, Computer Science, Physics, or Electrical Engineering with at least 27 ECTS in mathematics-related modules.
Degree offered: Master of Science
Language: German (C1 level required for admission); English (B2 level recommended).
Instruction: English and German
- Strong mathematical background (minimum 27 ECTS credits).
- Proficiency in German at C1 level (telc C1 Hochschule or equivalent).
- Foundational knowledge in computer science or related engineering disciplines.
- Applicants must hold a relevant degree in mathematics, computer science, physics, or electrical engineering.
- Applicants with other backgrounds are evaluated on an individual basis regarding mathematical credit requirements.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2025-07-15
Applications must be submitted through the uni-assist portal. Prospective students should ensure they meet the specific mathematical credit requirements and provide official proof of German language proficiency.
- Academic transcripts
- Degree certificate
- German language certificate (C1)
Contact
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