B.Sc. Applied Artificial Intelligence
Heidelberg, Germany
BSc
DURATION
6 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Oct 2027
TUITION FEES
EUR 790 / per month *
STUDY FORMAT
On-Campus
* check the tuition fee for more info
Key Summary
About: The English-taught BSc in Applied Artificial Intelligence (AI) covers math, computer science, programming, algorithms, statistics and data structures, then machine learning, deep learning, computer vision and natural language processing. You’ll build, train and deploy models with tools and cloud platforms, complete practical projects, and cover ethics. Optional internship or semester abroad in fifth semester plus a Bachelor’s thesis provide real experience. Campuses in Berlin, Dresden and Hamburg host international lecturers and students.
Career Outcomes: Typical roles: AI developer, machine learning engineer, data scientist, cloud AI engineer, AI consultant. Graduates can work across tech, automotive, healthcare, finance, media or research.
Learn to make machines think
Our programme provides you with a comprehensive understanding of AI. You'll start with the fundamentals of math, computer science, and data structures. You will then dive deep into core AI disciplines like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. A key feature is the practical application of your skills. Through numerous projects, you will learn to build, train, and deploy AI models using industry-standard tools and cloud platforms. The curriculum also emphasizes the ethical and societal implications of AI, preparing you to become a responsible innovator in this transformative field.
Artificial intelligence - from the basics to practice
The English-taught Bachelor’s programme Applied Artificial Intelligence combines theory and practice in a future-oriented curriculum. You will start with the fundamentals of AI and essential technical skills – from programming, data structures and algorithms to mathematics and statistics. You will then deepen your knowledge in areas such as Machine Learning, Deep Learning, Computer Vision and Natural Language Processing, learning how to apply AI systems in real-world contexts. Practical projects, an optional internship or semester abroad in the fifth semester, and your final Bachelor’s thesis will prepare you to confidently enter industry or research.
6 Semester: 180 ECTS
1st Semester: 30 ECTS
- Introduction to Artificial Intelligence: 6 ECTS
- Data Structures and Algorithms: 6 ECTS
- Mathematics for AI: 6 ECTS
- Computer Systems: 6 ECTS
- Communication and Presentation: 6 ECTS
2nd Semester: 30 ECTS
- Statistics and Probability: 6 ECTS
- Foundations of Data Science: 6 ECTS
- Machine Learning: 6 ECTS
- Software Engineering: 6 ECTS
- Project Management (Elective): 6 ECTS
- Computer Networks (Elective): 6 ECTS
3rd Semester: 30 ECTS
- Deep Learning: 6 ECTS
- Databases & Big Data Technologies: 6 ECTS
- Natural Language Processing: 6 ECTS
- AI Ethics & Laws: 6 ECTS
- Cloud Computing & Architectures: 6 ECTS
4th Semester: 30 ECTS
- Computer Vision: 6 ECTS
- Generative AI: 6 ECTS
- Collaborative Industry Project I (Industrial AI Specification): 6 ECTS
- Collaborative Industry Project II (Industrial AI Specification): 6 ECTS
- Computational Creativity (Creative AI & Analytics Specification): 6 ECTS
- AI in Life Sciences and Healthcare (Creative AI & Analytics Specification): 6 ECTS
- AI Operations (AIOps): 6 ECTS
5th Semester: 30 ECTS
- Time Series & Predictive AI (Industrial AI Specification): 6 ECTS
- Gaming Analytics and Interactive Systems (Creative AI & Analytics Specification): 6 ECTS
- IoT and Edge AI: 6 ECTS
- Research Methods & Scientific Writing: 6 ECTS
- Robotics and Autonomous Systems: 6 ECTS
- Data Storytelling and Dashboards: 6 ECTS
6th Semester: 30 ECTS
- Internship: 6 ECTS
- Bachelor Thesis: 12 ECTS
- Bachelor Thesis Colloquium: 6 ECT
As a graduate of our Applied Artificial Intelligence programme, you will be highly sought after in a rapidly growing job market. Your practical skills will prepare you for a variety of roles across numerous industries, from tech and automotive to healthcare and finance. Typical career paths include:
- AI Developer / AI Scientist
- Machine Learning Engineer / Deep Learning Specialist
- Data Scientist / Data Analyst
- Cloud AI Engineer
- AI Consultant / AI Project Manager
- Specialist for Ethical AI