Bachelor (BSc) Applied Artificial Intelligence

• Degree Programme: B.Sc. 180 ECTS credits
• Language: English
• Mode of Study: On campus in Germany
• Accreditation: Accredited in line with German and European standards
• Recognition: Your degree is Internationally recognised and can easily be transferred to another country
• Study Duration: 36 months

Our Bachelor in Applied Artificial Intelligence in Germany is specifically designed keeping in mind the digital future. Investing your time in our curriculum ensures: 

• Comprehensive understanding of artificial intelligence
• Ability to analyse and tackle complex AI problems 
• Development of a life-long learning aptitude 
• Proficiency in using high tech tools and managing complex data systems 

Right from the first semester, you will engage with robust and challenging topics related to AI. Along with advanced tools and resources, you will have optimal support to foster knowledge and skills to face any AI challenge with confidence.  

By the end of your studies, your portfolio will shine with evidences of your knowledge in lines of: 

• Mastering Python coding 
• Application of machine learning techniques 
• Competence in cloud computing 
• Aptitude in statistical analysis 

Semester 1

1. Artificial Intelligence, 5 credits
2. Introduction to Academic Work, 5 credits
3. Introduction to Programming with Python, 5 credits
4. Mathematics: Analysis, 5 credits
5. Collaborative Work, 5 credits
6. Statistics - Probability and Descriptive Statistics, 5 credits

Semester 2

1. Object-Oriented and Functional Programming with Python, 5 credits
2. Mathematics: Linear Algebra, 5 credits
3. Intercultural and Ethical Decision-Making, 5 credits
4. Statistics - Inferential Statistics, 5 credits
5. Cloud Computing, 5 credits
6. Cloud Programming, 5 credits

Semester 3

1. Machine Learning - Supervised Learning, 5 credits
2. Machine Learning - Unsupervised Learning and Feature Engineering, 5 credits
3. Neural Nets and Deep Learning, 5 credits
4. Introduction to Computer Vision, 5 credits
5. Project: Computer Vision, 5 credits
6. Introduction to Reinforcement Learning, 5 credits

Semester 4

1. Introduction to NLP, 5 credits
2. Project: NLP, 5 credits
3. Introduction to Data Protection and IT Security, 5 credits
4. Data Science Software Engineering, 5 credits
5. Project: From Model to Production, 5 credits
6. Seminar: Ethical Considerations in Data Science, 5 credits

Semester 5

1. User Experience, 5 credits
2. UX-Project OR Project: Edge AI, 5 credits
3. Introduction to Robotics, 5 credits
4. Agile Project Management, 5 credits
5. Electives A, 10 credits

Semester 6

1. Electives B, 10 credits
2. Electives C, 10 credits
3. Bachelor Thesis, 10 credits

Elective A

1. Autonomous Driving, 10 credits
2. Automation and Robotics, 10 credits
3. Data Engineer, 10 credits
4. Digital Signal Processing and Sensor Technology, 10 credits
5. Database Developer, 10 credits
6. Business Intelligence, 10 credits
7. Data Analyst, 10 credits
8. Augmented, Mixed and Virtual Reality, 10 credits

Elective B

1. International Marketing and Branding, 10 credits
2. Applied Sales, 10 credits
3. Supply Chain Management, 10 credits
4. IT Project and Architecture Management, 10 credits
5. Psychology of Human Computer Interaction, 10 credits

Elective C

1. Autonomous Driving, 10 credits
2. Automation and Robotics, 10 credits
3. Data Engineer, 10 credits
4. Digital Signal Processing and Sensor Technology, 10 credits
5. Database Developer, 10 credits
6. Business Intelligence, 10 credits
7. Data Analyst, 10 credits
8. Augmented, Mixed and Virtual Reality, 10 credits
9. International Marketing and Branding, 10 credits
10. Applied Sales, 10 credits
11. Supply Chain Management, 10 credits
12. IT Project and Architecture Management, 10 credits
13. Psychology of Human Computer Interaction, 10 credits
14. Foreign Language, 10 credits
15. Studium Generale, 10 credits
16. Career Development, 10 credits
17. AWS Cloud Specialization, 10 credits

With this programme, you’ll have access to human and AI-powered tutoring.

Your tutors will be available to answer any questions, and you’ll have recurring appointments where you can discuss course topics with them and other students.

Syntea, IU’s AI-powered tutor, will be available 24/7 to guide you through your courses and prepare you for exams.

Study your way, and master working with AI at the same time.

AI Specialist

As an AI Specialist, you'll design and implement AI models, working closely with data scientists and engineers. You will support all AI initiatives from ideation to execution, applying your sound knowledge of machine learning, deep learning, and Python programming.

Robotics Engineer

In this role, you'll design, develop, and test robots that help automate tasks. You will ensure seamless integration of these robots into systems, working with a broader team to detect faults, make improvements and ensure the efficient running of automated processes.

Data Analyst

As a Data Analyst, you'll be making sense of vast amounts of data. You will use your knowledge of statistics and artificial intelligence to analyse data, understand trends, and make predictions helpful in business decision making.

General admission requirements

• Higher Secondary School Leaving Certificate such as A-Levels or IB Diploma and your transcript of records.
• A subject-related higher education entrance qualification. Depending on your qualifications, you might have to meet additional requirements, such as successfully passing a university entrance examination or one of the following programmes to make sure you are ready to study with us.
• Bachelor Entrance Examination

Admission Interview

Once your application and documents are submitted, you will be invited to a 15-minute online interview conducted by our admission team. During the interview we will discuss your academic background, reasons for pursuing further study, and career objectives. 

English language skills

• IELTS (at least 6.0 points)
• TOEFL IBT (at least 80 points)
• Cambridge certificate (B2 First with min. score of 169)
• Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.