Data Science
RWTH Aachen University
Degree
Master of Science
Language
English
Tuition
Free
Duration
4 semesters
Programme Overview
This interdisciplinary master's programme combines data analysis and systems engineering with core areas from computer science, mathematics, and statistics. Students can deepen their studies through application fields such as business analytics, computational life science, or physics.
Admission Requirements
- Academic requirements
One of the profiles computer science, mathematics or physics must be fulfilled
- Minimum GPA
- No fixed minimum GPA is published on the current official programme page.
- English requirements
- The official RWTH language-requirements document lists Data Science under English language requirements. Accepted proof includes TOEFL iBT at least 90, IELTS at least 6.0, Cambridge B2 First with grade B, Cambridge C1 Advanced, Cambridge C2 Proficiency, PTE Academic at least 60, UNIcert II or higher, a school certificate showing CEFR B2 English, or an RWTH Language Center placement test at level B2.2.1 or higher.
- Accepted bachelor fields
- The official RWTH pages state applicants need a bachelor's degree in computer science, mathematics, physics, or a closely related field from an internationally recognised university. The application page further specifies profile-based academic expectations and asks applicants to document comparable modules and their contents.
- APS Certificate
- Yes
- Thesis required
- Master's thesis in the fourth semester
Costs & Funding
- Tuition fee
- None
- Semester contribution
- 338.05 EUR total semester fee according to the current official RWTH semester-fee information for 2026.
- ECTS credits
- 120
- Funding info
Tuition: None Semester contribution: 338.05 EUR total semester fee according to the current official RWTH semester-fee information for 2026.
Career Outcomes
The official programme pages state that data-science methods are used broadly in science and industry. They highlight career opportunities in ICT, finance, services, industry, and research for graduates who can extract knowledge from large and heterogeneous data sets.
Specialisations
Typical job roles
Target industries
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Programme details
- Degree
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Mode
- full-time
- Start
- Winter and summer semesters
- Deadline
- Rolling (annual)
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