Programme curriculum
Many decisions in our day-to-day lives are already supported or automatically made by AI. “Artificial Intelligence” is a term that covers two distinct areas: one is general AI, which behaves similarly to a human, and the other is narrow AI, which actually outperforms humans in specific tasks. While artificial general intelligence has yet to be developed, artificial narrow intelligence has already achieved a number of remarkable successes, e.g. in medicine and merchandise management.
The IU master's in Artificial Intelligence is an ideal opportunity to dive deep into the technical skills step-by-step—with a hands-on approach and expert guidance.
The Master in Artificial Intelligence online is broad in scope and will deepen your knowledge of machine learning. The 60-ECTS credits variant of the study programme gives you the opportunity to acquire specific knowledge in the fields of computer-based language and image processing, smart manufacturing in Industry 4.0, or autonomous vehicles. In addition, the 120-ECTS credits variant offers further opportunities for specialisation.
Semester 1
Semester 2
Semester 3
Semester 4
Electives
The elective courses that are a part of this study programme, are a cluster of courses dedicated to diving deep into a specific topic related to the programme. When choosing an elective, you get to explore a potential future career path, or just develop a strong knowledge base about a topic that particularly interests you. In semesters 2 and 3 of this programme, you will choose three electives, amounting to 20 ECTS credits.
Choose your electives
Choose electives from “Electives A” list*:
- UI/UX Expert
- Technical Project Lead
- AI Specialist
- Data Engineer
- Artificial Intelligence in FinTech
- Applied Autonomous Driving
- Artificial Intelligence in Supply Chain Management
- AI in Healthcare and Medical Imaging
- AI in E-Commerce, Marketing and Demand Forecast
- Industrial AI
- Natural Language Processing and Voice Assistants
- Foundational Computer Vision
- Management
- Corporate Finance
- Sales, Pricing and Brand Management
- Consumer Behaviour Research
- Innovate and Change
- Advanced Robotics 4.0
- Robo Advisory and AI in FinTech
- Functional Security and Computer Vision for Autonomous Systems
- AI and its Application in Demand Forecast and Procurement*
- Medical NLP and Medical Robotics
- AI for Analytics, Personalization and Recommender Systems
- Industrial Automation and Computer Vision for Autonomous Systems
- NLP and Innovative Technologies in Education
- Cognitive Computer Vision
*Each elective module can only be chosen once.