Master (MSC) in Artificial Intelligence

• Degree Programme: M.Sc. 120 ECTS credits
• Language: English
• Mode of Study: On campus in Germany
• Accreditation: Accredited in line with German and European standards
• Recognition: Your degree is Internationally recognised and can easily be transferred to another country
• Study Duration: 24 months

Our Master's in Artificial Intelligence programme at IU, with its emphasis on cutting-edge research, practical applications, and collaboration with industry partners, is designed to provide you with the best return on your investment. It will prepare you to:

• Understand advanced concepts of Artificial Intelligence
• Analyse and solve complex AI-based problems
• Develop life-long skills in AI, Data Engineering, and Technical Leadership
• Work with real-world AI applications

From the very first semester, you'll delve into sophisticated AI topics, encompassing both the technical and societal aspects of Artificial Intelligence. By the end of the programme, you'll have a comprehensive understanding of AI and its related fields, and will be ready to tackle real-world challenges in the ever-evolving technological landscape.

Semester 1

1. Artificial Intelligence — 5 ECTS
2. Advanced Mathematics — 5 ECTS
3. Use Case and Evaluation — 5 ECTS
4. Seminar: AI and Society — 5 ECTS
5. Advanced Statistics — 5 ECTS
6. Project: AI Use Case — 5 ECTS

Semester 2

1. Programming with Python — 5 ECTS
2. Machine Learning — 5 ECTS
3. Deep Learning — 5 ECTS
4. NLP and Computer Vision — 5 ECTS
5. Inference and Causality — 5 ECTS
6. Reinforcement Learning — 5 ECTS

Semester 3

1. Software Engineering for Data Intensive Sciences — 5 ECTS
2. Seminar: Current Topics in AI — 5 ECTS
3. Electives A* — 10 ECTS
4. Electives B* — 10 ECTS

Semester 4

1. Master Thesis — 30 ECTS

Electives A

1. User Interface and Experience — 5 ECTS
2. Project: Human Computer Interaction* — 5 ECTS
3. IT Project Management — 5 ECTS
4. Project: Technical Project Planning* — 5 ECTS
5. Advanced NLP and Computer Vision* — 5 ECTS
6. Project: NLP and Computer Vision* — 5 ECTS
7. Data Engineering — 5 ECTS
8. Project: Data Engineering* — 5 ECTS
9. Concepts of FinTechs and Artificial Intelligence — 5 ECTS
10. Fraud Detection FinTechs* — 5 ECTS
11. Architectures of Self-Driving Vehicles — 5 ECTS
12. Case Study: Localization, Motion Planning and Sensor Fusion — 5 ECTS
13. Concepts of Artificial Intelligence in Supply Chain Management* — 5 ECTS
14. Multi-Agent Systems* — 5 ECTS
15. AI in Healthcare* — 5 ECTS
16. AI in Medical Imaging and Diagnostics* — 5 ECTS
17. Introduction to AI in E-Commerce and Marketing* — 5 ECTS
18. Demand Forecast and Inventory Control* — 5 ECTS
19. AI in Production* — 5 ECTS
20. Project: Industrial Internet of Things* — 5 ECTS
21. Natural Language Processing* — 5 ECTS
22. Voice Assistants* — 5 ECTS
23. Image Processing and Low Level Vision* — 5 ECTS
24. Mid-Level Vision and Video* — 5 ECTS
25. Internship — 10 ECTS

Electives B

1. Leadership — 5 ECTS
2. Strategic Management — 5 ECTS
3. Global Brand Management — 5 ECTS
4. Sales and Pricing — 5 ECTS
5. International Consumer Behavior — 5 ECTS
6. Applied Marketing Research — 5 ECTS
7. Corporate Finance — 5 ECTS
8. Advanced Corporate Finance — 5 ECTS
9. Change Management — 5 ECTS
10. Innovation and Entrepreneurship — 5 ECTS
11. Industrial and Mobile Robotics — 5 ECTS
12. Project: Collaborative Robotics — 5 ECTS
13. Robo Advisory* — 5 ECTS
14. AI in Fintech* — 5 ECTS
15. Functional Security — 5 ECTS
16. Computer Vision for Autonomous Systems — 5 ECTS
17. Demand Forecast and Inventory Control* — 5 ECTS
18. Artificial Intelligence in Procurement* — 5 ECTS
19. Medical NLP* — 5 ECTS
20. Medical Robotics and Devices* — 5 ECTS
21. AI in Marketing and Analytics* — 5 ECTS
22. Personalization and Recommender Systems* — 5 ECTS
23. Industrial Automation — 5 ECTS
24. Computer Vision for Autonomous Systems — 5 ECTS
25. NLP in Education* — 5 ECTS
26. NLP for Accessibility* — 5 ECTS
27. High-Level Vision* — 5 ECTS
28. Project: Computer Vision* — 5 ECTS
29. Internship — 10 ECTS

With this programme, you’ll have access to human and AI-powered tutoring.

Your tutors will be available to answer any questions, and you’ll have recurring appointments where you can discuss course topics with them and other students.

Syntea, IU’s AI-powered tutor, will be available 24/7 to guide you through your courses and prepare you for exams.

Study your way, and master working with AI at the same time.

AI Specialist

As an AI Specialist, you'll develop advanced AI models and algorithms, defining the course for various industry solutions. You'll play a significant role in AI architecture development, troubleshooting, and deployment, contributing directly to technological advancements.

Data Engineer

Data Engineers handle the development, construction, and maintenance of architectures. You'll be tasked with managing large-scale processing systems and working closely with data-driven applications, ensuring they have timely, accurate information.

Technical Project Lead

In the role of a Technical Project Lead, you'll lead AI projects, supervising the entire project lifecycle. You'll coordinate teams, manage resources, ensure project timelines, and deliver quality solutions as per client requirements.

General admission requirements

• Completed undergraduate degree from a public or officially recognised university/higher education institution.  
• You will need to have 180 ECTS credits.  
• You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree 
• Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies.

Admission Interview

Once your application and documents are submitted, you will be invited to a 15-minute online interview conducted by our admission team. During the interview we will discuss your academic background, reasons for pursuing further study, and career objectives.

Work experience

• Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).
• You can provide us a translation of your employment contract and your pay slip or you can ask your company to fill out this form in English, sign it, apply the company stamp and send it to us

English language skills

• IELTS (at least 6.5 points)
• TOEFL IBT (at least 90 points)
• Cambridge certificate (B2 First with min. score of 176)
• Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.