• 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

Not sure if a specialisation is right for you? With the Bachelor of Science in Computer Science, you can graduate with a comprehensive set of skills across the field or add specialist expertise in Applied Artificial Intelligence or Data Science. Either way, your mandatory internship will provide you with hands-on experience - choose the path that fits your ambitions.

The Artificial Intelligence specialisation builds on your core Computer Science knowledge and provides a strong foundation in data-driven and intelligent systems through:

• statistical foundations of machine learning with a focus on supervised learning techniques.
• unsupervised learning methods and advanced feature engineering approaches.
• neural networks and deep learning models for complex pattern recognition tasks.
• practical, project-based experience in Edge AI, applying AI models directly on resource-constrained devices.

These specialist modules prepare you for high-demand roles in machine learning engineering, AI system development and applied intelligent technologies.

Fundamental courses

• Introduction to Computer Science
• Software Engineering Principles
• Introduction to Programming with Python
• Mathematics: Analysis
• Introduction to Academic Work for IT and Technology
• Project: Programming with Python
• Collaborative Work
• Statistics: Probability and Descriptive Statistics
• Web Application Development
• Mathematics: Linear Algebra
• Algorithms, Data Structures, and Programming Languages
• Project: Object Oriented and Functional Programming in Python

In-depth courses

• Computer Architecture and Operating Systems
• Intercultural and Ethical Decision-Making
• Database Modeling and Database Systems
• Project: Build a Data Mart in SQL
• Theoretical Computer Science and Mathematical Logic
• Cryptography
• IT Service Management
• Project: Software Engineering
• Project: IT Service Management
• Seminar: Current Topics in Computer Science

Internship

• Internship: Computer Science & Business Information Systems

Bachelor thesis

• Bachelor's thesis
• Colloquium on the bachelor's thesis

• Artificial Intelligence
• Statistics - Inferential Statistics
• Machine Learning - Supervised Learning
• Machine Learning - Unsupervised Learning and Feature Engineering
• Neural Nets and Deep Learning
• Project: Edge AI

Germany's computer science industry is expanding rapidly, and with AI transforming every sector, the demand for AI specialists and machine learning engineers is exceptionally high. Major tech companies such as SAP, Siemens, Deutsche Telekom, BMW Group and Volkswagen, as well as innovative start-ups, are actively seeking graduates with AI expertise. Here are some exciting career paths that your AI specialisation could lead to:

AI Consultant

Drawing on your expertise, you will guide organisations in the application of AI technologies, working closely with teams to identify opportunities and implement solutions.

Robotics Engineer

You will design, develop and test robots to help automate tasks. You will also ensure the seamless integration of these robots into systems, working alongside a broader team to detect faults.

Data Analyst

You will make sense of vast amounts of data. Using your knowledge of statistics and artificial intelligence, you will analyse data, identify trends and make predictions that will inform business decisions.

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

English language skills

We accept the following English language skills certificates*: 

• IELTS (at least 6.0 points)
• TOEFL IBT (at least 80 points)
• Cambridge certificate (B2 First with min. score of 169)

*Proof must not be older than two years. 

Alternative ways to prove your English language skills: 

Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.