Master Artificial Intelligence

Society and companies are currently facing huge changes. The reason for this is the rapid advance of machine learning and artificial intelligence. 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 online Master in Artificial Intelligence is broad in scope and will deepen your knowledge of machine learning. The 60-ECTS 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 variant offers further opportunities for specialisation.

In order to best prepare you for the international job market, all of our study programmes are offered 100% in English. What are you waiting for?

Have you already completed a training course, studied at a university or gained work experience? At IU International University of Applied Sciences you have the opportunity to get your previous achievements recognised, completely free of charge. By doing so, you can save valuable time and reduce tuition fees.

The 60-ECTS variant is designed as a specialisation and will provide you with skills and in-depth knowledge in the fields of machine learning, neural networks, and reinforcement learning. You will concentrate primarily on the cognitive processes of computer-based language and image processing so that you will later be able to develop sophisticated AI systems and applications.

In the 120-ECTS model you will have the additional opportunity to deepen your knowledge in various practice-oriented courses and specialise, e.g. in human-machine interaction, language and image processing, Industry 4.0 and robotics, autonomous driving, or project management for AI projects.

Course Overview (FS-FI-MAAI-60-01)

Semester 1

  1. Module DLMDSML: Machine Learning
  2. Module DLMDSDL: Deep Learning
  3. Module DLMDSUCE: Use Case and Evaluation
  4. Module DLMAIRIL: Reinforcement Learning
  5. Module DLMAISCTAI: Seminar: Current Topics in AI
  6. Module DLMAIPAIUC: Project: AI Use Case

Semester 2

  1. Module DLMAIIAC: Inference and Causality
  2. Module DLMAIECVN: Computer Vision and NLP
  3. Module DLMAIEAR: Advanced Robotics 4.0
  4. Module DLMAIEFT: Artificial Intelligence in FinTech
  5. Module DLMDSEAAD: Applied Autonomous Driving
  6. Module DLMAIESCM: Artificial Intelligence in Supply Chain Management
  7. Module DLMAIEHCMI: AI in Healthcare and Medical Imaging
  8. Module DLMAIEHMNLP: AI in Healthcare and Medical NLP
  9. Module DLMAIEHMR: AI in Healthcare and Medical Robotics
  10. Module DLMAIEECMDF: AI in E-Commerce, Marketing and Demand Forecast
  11. Module DLMAIEECMA: AI in E-Commerce, Marketing and Analytics
  12. Module DLMAIEECCCM: AI in E-Commerce and Customer-centric Marketing
  13. Module DLMAIEIAI: Industrial AI
  14. Module DLMAIEIPS: Industrial Production Systems
  15. Module DLMAIECVPS: Computer Vision for Production Systems
  16. Module DLMAIENLPAE: NLP and its Application in Education
  17. Module DLMAIWNLPVA: Natural Language Processing and Voice Assistants
  18. Module DLMAIENLPAA: NLP and its Application for Accessibility
  19. Module DLMAIWCVE: Computer Vision Essentials
  20. Module DLMMTHES: Master Thesis

Course Overview (FS-FI-MAAI-120-01)

Semester 1

  1. Module DLMAIAI: Artificial Intelligence
  2. Module DLMDSAM: Advanced Mathematics
  3. Module DLMDSUCE: Use Case and Evaluation
  4. Module DLMAISAIS: Seminar: AI and Society
  5. Module DLMDSAS: Advanced Statistics
  6. Module DLMAIPAIUC: Project: AI Use Case

Semester 2

  1. Module DLMDSPWP: Programming with Python
  2. Module DLMDSML: Machine Learning
  3. Module DLMDSDL: Deep Learning
  4. Module DLMAINLPCV: NLP and Computer Vision
  5. Module DLMAINLPCV: NLP and Computer Vision
  6. Module DLMAIRIL: Reinforcement Learning

Semester 3

  1. Module DLMDSSEDIS: Software Engineering for Data Intensive Sciences
  2. Module DLMAISCTAI: Seminar: Current Topics in AI
  3. Module DLMAIEUIUX: UI/UX Expert
  4. Module DLMDSETPL: Technical Project Lead
  5. Module DLMAIEAIS: AI Specialist
  6. Module DLMDSEDE: Data Engineer
  7. Module DLMAIEFT: Artificial Intelligence in FinTech
  8. Module DLMDSEAAD: Applied Autonomous Driving
  9. Module DLMAIESCM: Artificial Intelligence in Supply Chain Management
  10. Module DLMAIEHCMI: AI in Healthcare and Medical Imaging
  11. Module DLMAIEECMDF: AI in E-Commerce, Marketing and Demand Forecast
  12. Module DLMAIEIAI: Industrial AI
  13. Module DLMAIWNLPVA: Natural Language Processing and Voice Assistants
  14. Module DLMAIWFCV: Foundational Computer Vision
  15. Module DLMMANE: Management
  16. Module DLMBSPBE: Sales, Pricing and Brand Management
  17. Module DLMBCBR: Consumer Behavior and Research
  18. Module DLMBCF: Corporate Finance
  19. Module DLMDSEIAC-01: Innovate and Change
  20. Module DLMAIEAR: Advanced Robotics 4.0
  21. Module DLMAIERAFT: Robo Advisory and AI in FinTech
  22. Module DLMAIEFSCVAS: Functional Security and Computer Vision for Autonomous Systems
  23. Module DLMAIEADFP: AI and its Application in Demand Forecast and Procurement
  24. Module DLMAIEMNMR: Medical NLP and Medical Robotics
  25. Module DLMAIEAPRS: AI for Analytics, Personalization and Recommender Systems
  26. Module DLMAIEIACVAS: Industrial Automation and Computer Vision for Autonomous Systems
  27. Module DLMAIWNLPITE: NLP and Innovative Technologies in Education
  28. Module DLMAIWCCV: Cognitive Computer Vision

Semester 4

Module MMTHE: Master Thesis