Master of Science (ID 277571)
1. Semester
- Advanced Mathematics (5 CP)
- Advanced Statistics (5 CP)
- Artificial Intelligence (5 CP)
- Project: AI Use Case (5 CP)
- Seminar: AI and Society (5 CP)
- Use Case and Evaluation (5 CP)
2. Semester
- Deep Learning (5 CP)
- Inference and Causality (5 CP)
- Machine Learning (5 CP)
- NLP and Computer Vision (5 CP)
- Programming with Python (5 CP)
- Reinforcement Learning (5 CP)
3. Semester
- Elective A (10 CP, W)
- AI Specialist (10 CP, W)
- Data Engineer (10 CP, W)
- Inference and Causality (5 CP, W)
- Reinforcement Learning (5 CP, W)
- Software Engineering for Data Intensive Sciences (5 CP, W)
- Technical Project Lead (10 CP, W)
- UI/UX Expert (10 CP, W)
- Elective B (10 CP, W)
- Advanced Robotics 4.0 (10 CP, W)
- Applied Autonomous Driving (10 CP, W)
- Consumer Behaviour and Research (10 CP, W)
- Corporate Finance (10 CP, W)
- Innovate and Change (10 CP, W)
- Management (10 CP, W)
- Sales, Pricing and Brand Management (10 CP, W)
- Seminar: Current Topics in AI (5 CP)
- Software Engineering for Data Intensive Sciences (5 CP)
4. Semester
- Master Thesis (30 CP)