International University of Applied Sciences

Bachelor of Science - Applied Artificial Intelligence

Whether it’s making large-scale industry, multinational companies, or even your home smarter, AI is changing the world we live in. IU’s B.Sc. Applied Artificial Intelligence means you can be a driving force behind this change going into the future.

As modern technology develops, artificial intelligence tools are becoming an inextricable part of our life. We might not be aware of it but we are dependent on these tools for our day to day functioning. Whether it’s instructing digital personal assistants, or something extraordinary like designing self-driving cars, Artificial intelligence is a unique, multidisciplinary field. A Bachelor in Applied Artificial Intelligence will give you the skills to combine 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.

BS Applied Artificial Intelligence

Your Degree Summed Up


Bachelor of Science (B.Sc.)
All 6 semesters online or 2 semesters online and 4 semesters on-campus


180 ECTS (European Credit Transfer System). Accredited in line with German and European standards


6 semesters – 36 months


High School/College Certificate
Intermediate, A Levels, IB Diploma, or equivalent. English Skills (IELTS, TOEFL, Cambridge, etc.)


Euros 5,784 total for full degree


Online Assignments and Exams

Course Overview

Artificial Intelligence 5
Introduction to Academic Work 5
Introduction to Programming with Python 5
Mathematics: Analysis 5
Collaborative Work 5
Statistics – Probability and Descriptive Statistics 5
Object Oriented and Functional Programming with Python 5
Mathematics: Linear Algebra 5
Intercultural and Ethical Decision-Making 5
Statistics – Inferential Statistics 5
Cloud Computing 5
Cloud Programming 5
Machine Learning – Supervised Learning 5
Machine Learning – Unsupervised Learning and Feature Engineering 5
Neural Nets and Deep Learning 5
Introduction to Computer Vision 5
Project: Computer Vision 5
Introduction to Reinforcement Learning 5
Introduction to NLP 5
Project: NLP 5
Introduction to Data Protection and IT Security 5
Data Science Software Engineering 5
Project: From Model to Production 5
Seminar: Ethical Considerations in Data Science 5
User Experience 5
UX-Project OR Project: Edge AI 5
Introduction to Robotics 5
Agile Project Management 5
Electives A 10
Electives B 10
Electives C 10
Bachelor Thesis 10


In your fifth and sixth semesters you get to choose elective modules equalling 30-ECTS. Choose from AI-specific modules such as augmented, mixed and virtual reality, autonomous dirving or automation and robotics as well as more business-focused modules such as applied sales, international marketing and branding and supply chain management. This gives you the option to really hone in on your preferences and get knowledge of how to use them in the business world.

Augmented, mixed and virtual reality (AR, MR and VR) technologies are becoming increasingly important in a variety of application areas. New types of hardware devices and forms of interaction are used here. In addition to the technical features, this course deals with aspects of human perception and approaches to the development of AR/VR applications.

The definition and delimitation of the terms augmented, mixed and virtual reality as well as the demonstration of application examples initially give students an understanding of the field.

In order to suggest the existence of a virtual world or virtual objects to users, aspects of human perception must be used. Based on the fundamentals of human information processing, the phenomena, problems and solutions that must be taken into account in AR and VR applications are shown.

AR and VR systems can be realised in various ways. This course addresses different output forms, tracking methods and interaction possibilities. In addition, other techniques are highlighted that are especially important in the AR field.

Software development in AR and VR may require the application of specific processes. This course teaches selected approaches that are helpful in the design, prototyping and testing of AR and VR applications.

Finally, an outlook on future applications and the research potential of augmented, mixed and virtual reality is given.

The field of analytical methods is incredibly rich and variegated. Consequently, this specialisation both deepens and widens your understanding of the analytical landscape and the application of advanced analytics in business contexts. This ideally prepares you for a role as an analytic specialist.

Opt to take a foreign language with your degree. Choose Italian, French, German, Spanish, or Turkish. Options may vary between degree type.

This specialisation prepares you for sales and business. The interaction between strategy, marketing, sales and after-sales services is an important tool for sales-oriented companies and a central factor for success. This module teaches you relevant know-how for sales and negotiation talks, different distribution systems, and sales by telephone or trusted digital distribution channels.

This specialisation provides you with a systematic overview of the basic functions of suppliers operating in financial markets and the financial services they offer. In addition to financing and investment with banks and insurance companies, you’ll also examine the various forms of securities transactions, including insurance contracts for risk transfer.

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