Overview
The Data Science and Artificial Intelligence programme at Munich University of Digital Technologies and Applied Sciences (MUDT) offers a robust combination of advanced theory and applied skills in machine learning, data engineering, ethical AI, and emerging fields such as large language models (LLMs), computer vision, and generative AI.
Students will engage in real-world projects and thesis work in close collaboration with academia or industry, preparing them for cutting-edge roles in tech, business, and research.
Career Opportunities, Salaries & Job Growth in Germany
Graduates of the M.Eng. in Data Science & AI are highly sought after across Germany’s technology, engineering, and industrial sectors. Typical career paths include AI Engineer, Machine Learning Engineer, AI Architect, Cloud & MLOps Engineer, Autonomous Systems Developer, and Data Scientist.
Germany offers one of Europe’s strongest job markets for AI talent, with starting salaries typically between €55,000–€75,000, rising to €90,000–€120,000+ with experience and specialization. Demand continues to grow due to rapid digital transformation, Industry 4.0, automation, and the adoption of AI in manufacturing, healthcare, finance, logistics, and consulting.
The demand for AI talent in Germany is expected to grow by over 25% annually, driven by digital transformation, Industry 4.0, and EU-backed AI investments.
Programme Structure
Courses include:
- Large Language Models: Architecture & Applications
- Architectures of Intelligent Agents
- MLOps & AgentOps: Deploying AI Systems
- Trustworthy AI: Alignment, Ethics & Governance
- Personal Development: Intercultural Communication
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
- 90 or 120 ECTS
Delivered
Campus Location
- München, Germany
Disciplines
Data Science & Big Data Artificial Intelligence View 75 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A recognized Bachelor’s degree (minimum 180 ECTS) in any discipline
- Proficiency in at least one modern programming language (preferably Python or R), Ability to write, debug, and document code for data analysis and algorithmic tasks, Familiarity with common DS/AI tools (e.g., TensorFlow, PyTorch, Scikit-learn, or similar)
- Foundational knowledge of mathematics and statistics (e.g. linear algebra, calculus, probability)
- Basic knowledge of computer systems, operating systems, and network technologies, Awareness of software engineering principles and version control (e.g., Git)
- English proficiency at CEFR B2 level or higher
- Strong motivation and interest in data science, AI, and applied problem-solving
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Munich University of Digital Technologies and Applied Sciences (MUDT) and/or in Germany, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents9600 EUR / year≈ 9600 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals9600 EUR / year≈ 9600 EUR / year
Living costs
München
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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