Master's programme
M.Sc. Applied AI
Shaping the future with intelligence.
Fast Track available: complete this Master's in one year (60 ECTS) if you hold a STEM bachelor's with 240 ECTS or equivalent. How Fast Track works →
Overview
The Master in Applied Artificial Intelligence is a two-year programme that covers the theoretical aspects of AI with an emphasis on concrete applications in industry, services, health and education. Students take required and elective courses, working in teams to solve complex real-world problems. The programme covers symbolic AI, neural networks and deep learning, advanced logic systems, language models, and the coding of complex systems — including the ethical and security implications of AI from the start of a project.
Why this programme
India's AI product, services and GCC market is hiring at scale. This M.Sc. lets you upskill from home, keep your current job, and graduate with a German-accredited AI Master's that you can use when applying in Bengaluru, Hyderabad, Pune, Europe or remotely.
Programme objectives
- State-of-the-art knowledge in symbolic, sub-symbolic, probabilistic and language-model AI
- Ability to code complex applications using big-data systems and AI libraries
- Skills to adapt generic AI models to industry, healthcare, education and services
- Independent Master's thesis and final project (30 ECTS combined)
Curriculum
1st quarter
- Rootcamp I: Complex Problem Solving (5 ECTS)
- Logic and Symbolic AI (5 ECTS)
- Coding Camp I: Fundamentals (5 ECTS)
2nd quarter
- Rootcamp II: Design Thinking (5 ECTS)
- Machine Learning & Analytics (5 ECTS)
- Coding Camp II: Interactivity (5 ECTS)
3rd quarter
- Big Data, Software Systems, Cloud Computing (5 ECTS)
- Deep Learning (5 ECTS)
- Applications of AI (5 ECTS)
4th quarter
- Experiment I: Group Challenge AI (15 ECTS)
5th–6th quarter
- Six electives (5 ECTS each) from the AI and open pool
7th–8th quarter
- Experiment II: Master's Challenge (15 ECTS)
- Master Thesis (15 ECTS)
Electives
- Advanced Deep Learning
- Probabilistic Graphical Models
- AI Ethics in the Digital Economy
- Natural Language Processing
- Explainability in AI Systems
- Reinforcement Learning
Career outlook
- AI developer, AI system designer or AI officer
- Roles in product, research and applied machine learning teams
- Foundation for entrepreneurial AI ventures
Graduation confers a German university degree. It does not guarantee a job, salary or visa. Graduates are eligible to apply for roles that require a recognised Master's or MBA.
Next step
Start from home. Graduate German-accredited.
Book a Student Affairs session or begin your application for the next April or October intake.