RWTH Aachen University

Master in MSc Data Analytics and Decision Science (DDS)

Aachen, Germany Taught in English Open to international students

Introduction

RWTH Aachen University is one of Germany’s leading technical universities, founded in 1870 and located in the historic city of Aachen. Known for its strengths in engineering, natural sciences and technology, RWTH blends a long tradition of applied research with close industry partnerships and a clear focus on innovation. With over 47,000 students, including more than 13,000 international learners, the university offers a dynamic environment where practical problem solving meets academic rigor.

The university hosts 51 program areas supported by world-class laboratories and collaborative research centers on the RWTH Campus. Students benefit from project-based coursework, internships with local and global companies, and a culture that encourages entrepreneurship and interdisciplinary work. English-taught master’s degrees and comprehensive student services make RWTH accessible to international applicants seeking research-led study and pathways into Europe’s advanced engineering sectors.

Aachen is compact and student-friendly, offering affordable housing options, efficient transit to nearby German and Dutch cities, and a lively cultural scene that balances history and modern student life. RWTH’s international office, career centers and language courses provide practical guidance on visas, funding and settling in, while numerous student associations support networking and integration. Scholarship and tuition information is available online to help plan finances, making RWTH a strong choice for students who value hands-on engineering education and close industry engagement.

About the Program

The Master's programme in Data Analytics and Decision Science (DDS) at RWTH Aachen University is aimed at students from STEM backgrounds who want to work with data-driven approaches and decision-making under uncertainty. The programme sits at the intersection of data analytics and operations research, drawing on mathematical optimisation, machine learning, heuristic algorithms, and simulation. The full-time programme runs over 4 semesters and starts in the winter semester. Coursework is method-based rather than industry-specific, with the goal of producing graduates who can work across sectors. Practice-oriented modules and real case studies from business partners form a significant part of the curriculum, alongside an internship that bridges theory and application. Elective modules allow students to specialise in areas such as energy and climate analytics, health care analytics and management, or other industry-focused topics. Courses include Machine Learning, Heuristic Optimisation, and Management and Technology Perspectives. The programme carries a yearly tuition fee of 15,000 EUR. An early bird discount of 3,000 EUR applies for complete applications submitted by 15 January. Graduates apply their skills across industries and sectors in roles centred on data and algorithm-driven decision-making. The programme is offered at RWTH Aachen University in Aachen, Germany.

Tuition in Context

This program's tuition is 400% above the typical master's in Germany.

Median tuition for that cohort is 3,428 USD, across 1,085 programs in our catalog.

Compare Germany master's programs

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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