• Degree Programme: M.Sc. 120 ECTS credits
• Language: English
• Mode of Study: On campus in Germany
• Accreditation: Accredited in line with German and European standards
• Recognition: Your degree is Internationally recognised and can easily be transferred to another country
• Study Duration: 24 months

Not sure if a specialisation is right for you? With the Master of Science in Computer Science, you can graduate with a comprehensive set of skills across the field all while opting for an internship or add specialist expertise in Artificial Intelligence, Business Analytics, or Data Science - choose the path that fits your ambitions.

The Master’s in Computer Science with a specialisation in Data Science at IU has been carefully designed to equip you with the next generation of analytical and computational expertise, keeping you at the forefront of innovation in today’s data-driven world. Our up-to-date curriculum combines theoretical foundations with hands-on experience, fully aligned with industry needs. Here’s what you will gain:

• In-depth knowledge of machine learning and data engineering techniques for building scalable, data-driven solutions.
• Advanced skills to solve complex computational and analytical problems using real-world datasets.
• Practical proficiency in data engineering workflows, programming with Python, and project-based analytics applications.
• Expertise in explainable and interpretable machine learning models, enabling you to apply AI responsibly and transparently in business contexts.

Fundamental courses

• Advanced Mathematics
• Algorithmics
• Cyber Security and Data Protection
• Seminar: Computer Science and Society
• Software Engineering: Software Processes
• Programming with Python
• Data Science
• Big Data Technologies
• Advanced Statistics
• Artificial Intelligence
• Project: Software Engineering
• Networks and Distributed Systems
• Project: Computer Science Project
• Seminar: Current Topics in Computer Science

Master thesis

• Master's thesis
• Colloquium on the master's thesis

• Machine Learning
• Data Engineering
• Project: Data Engineering
• Explainable and Interpretable Machine Learning Models

Germany’s rapidly growing digital economy offers excellent opportunities for graduates of a Master’s in Computer Science with a specialisation in Data Science. As one of Europe’s leading tech hubs, Germany shows strong demand for professionals who can analyse and leverage data to drive innovation, optimise processes, and support strategic business decisions. Expertise in data engineering, machine learning, and advanced analytics is particularly sought after across industries.

Analytics Consultant

Support organisations in applying data-driven methods to solve business challenges, optimise operations and make informed, strategic decisions.

Business Data Analyst

Identify trends and patterns in business datasets by analysing them, and create actionable insights that inform strategic and operational decisions.

Data Engineer

Ensure the effective collection, storage and processing of large volumes of business data by building and maintaining robust data pipelines and infrastructure.

General admission requirements

• Completed, undergraduate degree with 180 ECTS credits with a focus on Computer Science or computer-related subjects 
• Your degree must be from a state or state-recognised higher education institution/university  
• You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree

English language skills

We accept the following English language skills certificates*: 

• IELTS (at least 6.0 points)
• TOEFL IBT (at least 80 points)
• Cambridge certificate (B2 First with min. score of 169)

*Proof must not be older than two years. 

Alternative ways to prove your English language skills: 

Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.