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RWTH Aachen University

Aachen

Data Analytics and Decision Science

Subjects: Data Analytics and Decision Science,Decision Science,Data

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester
310 EUR

💶  Tuition Fees per Semester
4,000 EUR
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter
01.03.

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 310 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter
01.01.

⏱️ Application Deadline Winter
01.03.

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Application Requirements

Language Requirements

CEFR B2
IELTS 6.0
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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