Shape the future with AI. Our hands-on Bachelor's programme gives you the tools to build intelligent applications and launch your career in one of the world's most exciting fields.
									
									
										Applied Artificial Intelligence
									
									
										
											Bachelor of Science | Heidelberg
										
									
								
								
									
									
										
									
								
								
									
		
	
From 1 April 2026 at the Heidelberg campus
From 1 April 2026 at the Heidelberg campus

						
							All Facts at a Glance
						
						
						
					
					Course content of your bachelor's degree programme
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.
Your career opportunities
Our innovative approach that pays off
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
- Free and without obligation
- Detailed information about your studies
- Event invitations and individual consultation


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.
Your curriculum
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									Introduction to Artificial Intelligence 6
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									Data Structures and Algorithms 6
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									Mathematics for AI 6
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									Computer Systems 6
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									Communication and Presentation 6
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									Statistics and Probability 6
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									Foundations of Data Science 6
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									Machine Learning 6
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									Software Engineering 6
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									Project Management (Elective) 6
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									Computer Networks (Elective) 6
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									Deep Learning 6
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									Databases & Big Data Technologies 6
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									Natural Language Processing 6
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									AI Ethics & Laws 6
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									Cloud Computing & Architectures 6
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									Computer Vision 6
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									Generative AI 6
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									Collaborative Industry Project I (Industrial AI Specification) 6
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									Collaborative Industry Project II (Industrial AI Specification) 6
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									Computational Creativity (Creative AI & Analytics Specification) 6
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									AI in Life Sciences and Healthcare (Creative AI & Analytics Specification) 6
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									AI Operations (AIOps) 6
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									Time Series & Predictive AI (Industrial AI Specification) 6
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									Gaming Analytics and Interactive Systems (Creative AI & Analytics Specification) 6
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									IoT and Edge AI 6
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									Research Methods & Scientific Writing 6
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									Robotics and Autonomous Systems 6
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									Data Storytelling and Dashboards 6
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									Internship 6
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									Bachelor Thesis 12
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									Bachelor Thesis Colloquium 6

From study straight into practice
In addition to technical and methodological skills, social and personal skills are crucial today. 's innovative, successful and award-winning CORE principle promotes independent and active learning so that you can apply your knowledge directly in practice - for a clear competitive advantage.



