B.Sc. Applied Artificial Intelligence

Our online B.Sc. in Applied Artificial Intelligence will give students the skills to combine older computing techniques and the psychology of human learning processes with new innovations in artificial intelligence in order to apply computing in challenging applications. Knowledge of UI/UX, machine learning, robotics, software and app development, speech and image processing will make our students perfect candidates to join international leaders in Artificial Intelligence technology. It can be studied anytime and anywhere.

Academic Requirements:

• Higher Secondary School Leaving Certificate such as A-Levels, IB Diploma including your Transcript of Records.
• Proof of eligibility to study a bachelor's degree at university in Germany.

 Depending on your chosen programme, academic level, and background, you might need to also take one of the following to make sure you are ready to study with us: 

• Bachelor Entrance Examination 
•  Pathway Programme 

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 B2.2 Certificate (complimentary when signing up with IU - free of charge) 

Semester 1 – Modules

• Artificial Intelligence   
• Introduction to Academic Work  
• Introduction to Programming with Python  
• Mathematics: Analysis    
• Collaborative Work    
• Statistics – Probability and Descriptive Statistics

Semester 2 - Modules

• Object Oriented and Functional Programming with Python  
• Mathematics: Linear Algebra 
• Intercultural and Ethical Decision-Making  
• Statistics – Inferential Statistics   
• Cloud Computing  
• Cloud Programming

Semester 3 - Modules

• Machine Learning – Supervised Learning  
• Machine Learning – Unsupervised Learning and Feature Engineering 
• Neural Nets and Deep Learning  
• Introduction to Computer Vision   
• Project: Computer Vision   
• Introduction to Reinforcement Learning

Semester 4 - Modules

• Introduction to NLP  
• Project: NLP  
• Introduction to Data Protection and IT Security  
• Data Science Software Engineering  
• Project: From Model to Production  
• Seminar: Ethical Considerations in Data Science

Semester 5 - Modules

• User Experience     
• UX-Project OR Project: Edge AI     
• Introduction to Robotics     
• Agile Project Management     
• Electives A

Semester 6 - Modules

• Electives B     
• Electives C     
• Bachelor Thesis
  

Information on state accreditation

Subject to state accreditation. We expect the Ministry's approval no later than the start of the programme. So far, all of our programmes have been successfully accredited and approved on time.

Online: Official start date 30.11.2021 (English, 180 ECTS)