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RWTH Aachen University
Aachen
Data Analytics & Decision Science
Subjects: Data Analytics;Analytics
M.Sc. | Master of Science
Course description
The master's program M.Sc. Data Analytics and Decision Science at RWTH Business School shapes highly sought-after data managers for the industry. Students master the art of merging analytical and business challenges in industrial settings, making smart decisions, and handling complex technical projects. Over four full-time semesters, taught entirely in English, top-tier lecturers deliver cutting-edge knowledge in artificial intelligence and mathematical optimization. This program targets young professionals with at least one year of work experience and a first degree in mathematics, computer science, natural sciences, or technology (STEM). It aims to enhance their profiles, transforming them into future data experts through a unique blend of Data Analytics and Decision Science.
Program Information
| Study Location | Aachen |
| Start Semester | Winter |
| Study Form | Full-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 4 Semesters |
| Tuition Fees per Semester | 4,000 EUR |
| Cost per Semester | 305.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | B2 |
| IELTS | 6 |
| Cambridge (CAE) | No information |
| TOEFL IBT | 90 pts |
TOEFL Internet based minimum of 90 pts. or IELTS (Academic) test minimum overall band 6 pts., For German applicants: A certificate attesting English language skills at level B2 of the Common European Framework of Reference for Languages (CEFR). This proof is provided, for example, by the submission of a German Abitur certificate, which shows that English has been continuously taught with at least sufficient marks. Exemptions for the language requirements are only applicable for nationals or first degree holders from the USA, the UK, Canada, Ireland, New Zealand, and Australia.
Qualification Requirements
degree completed in Engineering or Science in a related STEM field (science, technology, engineering and mathematics) at least 125 credit points mathematics and/or natural sciences (e.g. chemistry and/or physics) and/or computer science and/or engineering including a minimum of 15 credit points in the fields of higher mathematics or statistics, database and information systems, programming, algorithms and data structures, complexity theory, quantitative methods/operations research programming skills are beneficial for admission.at least 1 year of professional work experience
Application Process
| Acceptance Interview | No |
| Acceptance local admission restrictions | Not restricted |
| Application | directly at the University |
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