These are the admission requirements for the Bachelor of Applied Artificial Intelligence

In the Bachelor's distance learning program for Applied Artificial Intelligence at IU International University (IU), you can enroll if you provide us with your A-levels (general university entrance qualification), your technical college entrance qualification, or the subject-specific higher education entrance qualification.

Alternatively, you can also enroll without A-levels. Studying without A-levels at IU is possible under the following conditions:

• You have successfully completed an advanced training course, such as a training course to become a State Certified Business Administrator.
• Or you have completed a vocational training, such as training to become an office clerk. Following your training, you have worked in this profession for at least 3 years full-time. If your training is not thematically related to the distance learning program in Applied Artificial Intelligence, you will first complete a trial study before being regularly enrolled.

If you wish to take the course in English, you must demonstrate your English language skills. You can provide evidence of these skills, for example, through a TOEFL (at least 80 points), IELTS (at least Level 6), a passed Duolingo English Test (at least 105 points), a Cambridge Certificate (at least grade B overall), or an equivalent qualification. Alternatively, you can take an English course for free directly at IU International University.

Foreign prospective students applying for the German-language study program must provide proof of German language skills. You can provide this proof as follows: TestDaF (TND3, at least 3 points in all sections), DSH (DSH-1), Telc (Telc Deutsch B2), ÖSD (ÖSD B2).

Study Content & Modules: This is the Study Schedule in the Bachelor's in Applied Artificial Intelligence

The bachelor's programme at IU International University is modular. A module typically consists of 5 credit points (ECTS) and concludes with an examination, such as an exam or a written assignment. You complete your bachelor's degree step by step - and even largely determine when you want to complete which module.

In full-time studies, you can structure your study plan as follows, for example:

• 1st Semester: Artificial Intelligence, Introduction to Scientific Work for IT and Technology, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Statistics - Probability and Descriptive Statistics
• 2nd Semester: Object-Oriented and Functional Programming with Python, Mathematics: Linear Algebra, Intercultural and Ethical Competences, Statistics - Inferential Statistics, Cloud Computing, Cloud Programming
• 3rd Semester: Machine Learning - Supervised Learning, Machine Learning - Unsupervised Learning and Feature Engineering, Neural Networks and Deep Learning, Introduction to Computer Vision, Project: Computer Vision, Introduction to Reinforcement Learning
• 4th Semester: Introduction to NLP, Project: NLP, Introduction to Data Protection and IT Security, Data Science Software Engineering, Project: From Model to Product Sales, Seminar: Ethical Issues of Data Science
• 5th Semester: User Experience, UX Project, Project: Edge AI, Introduction to Robotics, Agile Project Management, Elective Area A
• 6th Semester: Elective Module B, Elective Module C, Bachelor's Thesis

What's special about IU distance learning: the many opportunities to delve into interesting elective modules during your studies. In the AI bachelor's programme, you choose a total of 3 specialisation modules:

For the first specialisation module, you choose from these topics: Augmented, Mixed and Virtual Reality, Autonomous Driving, Business Intelligence, Data Analyst, Data Engineer, Database Developer, Digital Signal Processing and Sensor Technology, Robotics, and Automation.

For your second specialisation module, you choose from these topics: Applied Sales, IT Project and Architecture Management, International Marketing, Psychology of Human-Computer Interaction, Supply Chain Management.

For the third specialisation module, you choose from these topics: Applied Sales, Augmented, Mixed and Virtual Reality, Autonomous Driving, Business Intelligence, Data Analyst, Data Engineer, Database Developer, Digital Signal Processing and Sensor Technology, English as a Foreign Language, French as a Foreign Language, Italian as a Foreign Language, Spanish as a Foreign Language, IT Project and Architecture Management, International Marketing and Branding, Psychology of Human-Computer Interaction, Robotics and Automation, General Studies, Supply Chain Management.

Study Concept: How the Part-Time AI Studies Work at IU

The online programme in Applied Artificial Intelligence at IU International University can be adapted flexibly to fit your life and daily routine. For instance, you can choose one of 3 study models: In the full-time programme, you need a total of 6 semesters, i.e. 36 months, to complete your bachelor's degree. In part-time programme I, you study for 8 semesters until completion. Or you can opt for part-time programme II and take 12 semesters to complete your bachelor's degree.

You will receive study materials at IU in printed study booklets with each module enrolment. All materials are also available digitally. The IU Interactive Books are innovative learning scripts enriched with video clips and quiz questions at the end of each lesson. Depending on the module, study materials are supplemented with podcasts, live tutorials, and video content in the form of so-called Shortcasts. You can access the IU Interactive Books via the convenient Learn App of IU.

In many modules, virtual teaching sessions are also offered, allowing you to interactively engage with your fellow students and lecturers.

Extremely convenient and flexible: the option to take module exams in the form of online exams. You can write an online exam 7 days a week, 24 hours a day - whenever you feel optimally prepared for the exam, for example, in building construction. Additionally, we operate about 40 exam centres in Germany, Austria, and Switzerland where you can also take your exams in the traditional way on-site.