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Master of Science

Data Science

RWTH Aachen University

Aachen, GermanyData Science & AI
Free TuitionAPS Requiredfull-time

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

computer sciencemathematicsbusiness analyticscomputational life sciencecomputational social sciencephysics

Typical job roles

Data scientistQuantitative analystStatisticianRisk analyst

Target industries

TechnologySoftware developmentDigital services

Similar programmes in Data Science & AI

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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