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Apply with LERNEN26 until June 30th & secure €1,444 discount + iPad.
Apply until June 30th and use the code LERNEN26 to get a €1,444 discount and a free iPad.
Data rules the digital world – and you know how to use it! With your master's in Data Science, you will learn how to collect, evaluate and subsequently draw results from datasets. For this, you will learn how to identify data patterns in areas such as stock analysis, autonomous systems, or language and text recognition. With this knowledge, you qualify for leadership positions in the IT sector.
The 120 ECTS credit master's is available in both German and English – to match your personal needs and goals.
M.Sc., 120, 60 ECTS credits
Language: de, en
Full-time or part-time, 100% flexible
Start today with Comfort Start – or start any time on your preferred date
36, 48, 72 months, depending on model Extension possible free of charge
Study programme independent of time & place, no mandatory attendance, innovative study tools available on online-campus, AI study assistant Syntea, exams online or at nearest examination centre
Starting at 316€/month, depending on model
Current discount campaign
All details on recognition and admission can be found directly on the page of your desired study programme.
Apply now and start today – or choose your starting date flexibly. You can then test IU for 1 month free of charge. Fees only apply if you decide to continue.
The online master's proigramme in Data Science is available as a 60 ECTS or 120 ECTS programme in German or English language.
Your master’s programme in Data Management is as practice-oriented as possible! In the 60 ECTS programme, you choose one of the 3 electives of “Big Data und Software Engineering”, “Produktionsmethoden Industrie 4.0 und Automatisierungstechnik” or “Angewandtes Autonomes Fahren”. In the 120 ECTS programme, you choose two out of 13 electives to prepare for your career. Your options include modules such as “Data Science Specialist”, “Cognitive Computing” and “Business Analyst”.
| Module | ECTS credits |
|---|---|
| Electives A - (Es sind 10 ECTS-Points zu wählen) | |
| IT Project Management | 5 |
| Project: Technical Project Planning | 5 |
| Data Engineering | 5 |
| Project: Data Engineering | 5 |
| Business Intelligence | 5 |
| Project: Business Intelligence | 5 |
| Seminar: Current Topics in Data Science | 5 |
| Explainable and Interpretable Machine Learning Models | 5 |
| Electives B - (Es sind 10 ECTS-Points zu wählen) | |
| Leadership | 5 |
| Strategic Management | 5 |
| Global Brand Management | 5 |
| Sales and Pricing | 5 |
| International Consumer Behavior | 5 |
| Applied Marketing Research | 5 |
| Corporate Finance | 5 |
| Advanced Corporate Finance | 5 |
| Change Management & Organizational Development | 5 |
| Innovation and Entrepreneurship | 5 |
| NLP and Computer Vision | 5 |
| Advanced NLP and Computer Vision | 5 |
| Architectures of Self-Driving Vehicles | 5 |
| Case Study: Localization, Motion Planning and Sensor Fusion | 5 |
| Reinforcement Learning | 5 |
| Inference and Causality | 5 |
| Modeling in Automation Engineering | 5 |
| Internet of Things | 5 |
| Artificial Intelligence | 5 |
| Project: AI Excellence with Creative Prompting Techniques | 5 |
| Manufacturing Methods Industry 4.0 | 5 |
| Project: Data Science for Industry 4.0 | 5 |
| Advanced Requirements Engineering | 5 |
| Seminar: Ethic & Societal Considerations in Data Management | 5 |
| Seminar: Sustainability, Ethics, and Law in Machine Learning | 5 |
| Electives C - (Wenn du dich für das Praktikum entscheidest) | |
| Internship: Master AI, Machine Learning and Data Science | 20 |
| Electives C - (Wenn du dich für die vier Module entscheidest) | |
| Cyber Security and Data Protection | 5 |
| Big Data Technologies | 5 |
| Software Engineering for Data Intensive Sciences | 5 |
| Case Study: Model Engineering | 5 |
| Module | ECTS credits |
|---|---|
| Applied Research | 5 |
| Big Data Technologies | 5 |
| Seminar: Current Topics in Data Science | 5 |
| Master Thesis | 15 |
Do you need help with your decision? Your personal study advisor is happy to help you!
Apply now and start today – or choose your starting date flexibly. You can then test IU for 1 month free of charge. Fees only apply if you decide to continue.
Study flexible
anytime and anywhere with 24/7 online exams, full- or part-time.
Learn innovatively
on your digital campus with your own AI study assistant and multimedia tools.
State-recognized
Benefit from an accredited degree with excellent career prospects.
Information on study content & electives
Information on career prospects
Information on financing options

You’re a natural at managing data? Perfect! As a senior data scientist, you are in charge of collecting data, analysing it and using the results to maximise the potential within your company. In your senior position, you are a mentor for juniors, manage a team and make important decisions.
As a Data Science Developer, you will take the plunge into the world of big data. Your playground will be tools and applications that make the flood of information manageable. You will use machine learning and AI to transform data into intelligent helpers. In cooperation with a creative team of developers, you will give data a voice. Your mission: to create technology solutions that keep pace with the times and drive the business forward. Unleash your potential and become a pioneer of digital change.
