Data Science
The Master of Science in Data Science at RWTH Aachen University is an interdisciplinary graduate program designed to equip students with advanced skills in data analysis, systems engineering, and information systems development. Offered entirely in English, this full-time program spans two years and is structured to provide both foundational knowledge and specialized expertise. Students have the opportunity to specialize in one of several application areas, including Computer Science, Mathematics, Business Analytics, Computational Life Science, Computational Social Science, and Physics. This flexibility allows graduates to pursue diverse career paths in various sectors, such as technology, healthcare, finance, and research.
Located in Aachen, Germany, RWTH Aachen University is renowned for its academic excellence and strong industry connections, providing students with access to cutting-edge research facilities and a vibrant academic community. The program emphasizes a hands-on approach, preparing students to tackle complex data challenges in a rapidly evolving global landscape.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Aachen, Germany
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Data Science, Machine Learning, Artificial Intelligence, Big Data, Computational Analytics
- Admission modus: Without admission restriction
- Main language: English
Program Structure
- Semester 1 – Foundations of Data Science
- Introduction to Data Science and Analytics
- Probability, Statistics, and Mathematical Foundations
- Programming for Data Science (Python, R)
- Introduction to Machine Learning
- Semester 2 – Advanced Analytical Methods
- Deep Learning and Artificial Intelligence
- Big Data Technologies and Data Management
- Optimization and Simulation Techniques
- Collaborative Project I (industry-oriented case study)
- Semester 3 – Specialization & Applied Analytics
- Computational Statistics and Predictive Analytics
- Operations Research and Decision Science
- Data-driven Applications in Business, Health, or Science
- Collaborative Project II (industry-partnered project)
- Semester 4 – Master’s Thesis & Final Project
- Independent Research or Applied Thesis
- Development of a Data Science Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of this program are prepared for a wide range of roles in the global data and technology industry. Career paths include data scientist, machine learning engineer, business intelligence analyst, AI consultant, and computational researcher. With RWTH Aachen’s strong industry partnerships and research networks, students gain excellent opportunities to collaborate with companies, innovation labs, and international professional communities.
Why Choose This Program
Choosing the Master of Science in Data Science at RWTH Aachen University means joining a program that combines academic rigor with practical, real-world applications. The program provides students with access to leading faculty, state-of-the-art computational facilities, and a strong professional network.
The program’s unique strength lies in its integration of theoretical foundations with applied data science, focus on cutting-edge technologies, and close collaboration with industry partners. Students not only master advanced analytics and machine learning techniques but also develop problem-solving, critical thinking, and project management skills needed to thrive in competitive global markets.
Contact Information
RWTH Aachen University – Student Advisory Service
Templergraben 55
52062 Aachen, Germany
Tel: +49 241 80-90674
Fax: +49 241 80-92155
Email: int-zugang@rwth-aachen.de
Department of Data Science – Programme Contact
Campus-Boulevard 30
52074 Aachen, Germany
Tel: +49 241 80-22222
Email: data-science@rwth-aachen.de
International Office – RWTH Aachen University
Templergraben 57
52062 Aachen, Germany
Tel: +49 241 80-90833
Fax: +49 241 80-92155
Email: international@rwth-aachen.de
