M.Sc. Artificial intelligence

Robots, self-propelled cars and autonomous systems are increasingly becoming an important part of our future. The IU Online Master Artificial Intelligence prepares you for an exciting career in which innovations with artificial intelligence can make things happen, that seemed impossible only a few years ago. Graduates of the course can work as AI-specialists, AI-designers or other professions in this industry, to work on the latest technologies in a forward-looking way. With IU, you can study from the comfort of your home, 100% online.

• Completed undergraduate study from a public or officially recognized university/higher education institution (240 ECTS).
• Final grade of at least "Satisfactory" or grade C (as commonly used in the and Canada).

If you are lacking ECTS credits from your previous studies, you can demonstrate professional work experience for your online degree instead:

• To start a 60-ECTS MBA, you can “bridge” up to 60 ECTS by demonstrating 2 additional years of professional experience. This means you can access the One-Year programme already with 180 ECTS (if you prove one additional year of work experience) or 210 ECTS (if you can prove two additional years) from your previous studies.

Work Experience:

• At least one year of work experience before the start of the IU Master program (achieved after previous studies).

English Level:

• Proof of English skills
• If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills
• Speexx Certificate (complimentary when signing up with IU - free of charge)

Semester 1 – Modules

• Artificial Intelligence    
• Advanced Mathematics    
• Use Case and Evaluation   
• Seminar: AI and Society    
• Advanced Statistics    
• Project: AI Use Case
  

Semester 2 - Modules

• Programming with Python    
• Machine Learning    
• Deep Learning    
• NLP and Computer Vision    
• Electives A
  

Semester 3 - Modules

• Inference and Causality    
• Reinforcement Learning    
• Software Engineering for Data Intensive Sciences    
• Electives B   
• Seminar: Current Topics in AI
  

Semester 4 - Modules

• Master Thesis & Colloquium
  

60 ECTS:

Semester 1 - Modules

• Machine Learning    
• Deep Learning    
• Use Case and Evaluation    
• Reinforcement Learning   
• Seminar: Current Topics in AI    
• Project: AI Use Case
  

Semester 2 - Modules

• Electives   
• Master Thesis & Colloquium
  

IU has partnered with London South Bank University to give you the chance to turn your programme into a dual degree. When you choose this option, you'll graduate from IU with both a German degree and a British degree: a major advantage for international career prospects! No extra study courses or travelling required.

To avoid disappointment, students need to sign up for this offer within 4 weeks of enrolment, so don’t miss out!