• Degree: Bachelor of Science (B.Sc.)
• Model: full-time
• Language: English
• ECTS: 180
• Info: in accreditation
• Duration: 6 Semester
• Location: Heidelberg

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.

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

The fifth semester offers you maximum flexibility to shape your individual career path. You can choose to deepen your expertise by selecting advanced specialization modules at our university. For those seeking an international perspective, you can also opt to spend a semester abroad at one of our international partner universities, broadening your horizons and enhancing your intercultural skills.

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.

1. Semester

• Introduction to Artificial Intelligence
• Data Structures and Algorithms
• Mathematics for AI
• Computer Systems
• Communication and Presentation

2. Semester

• Statistics and Probability
• Foundations of Data Science
• Machine Learning
• Software Engineering
• Project Management (Elective)
• Computer Networks (Elective)

3. Semester

• Deep Learning
• Databases & Big Data Technologies
• Natural Language Processing
• AI Ethics & Laws
• Cloud Computing & Architectures

4. Semester

• Computer Vision
• Generative AI
• Collaborative Industry Project I (Industrial AI Specification)
• Collaborative Industry Project II (Industrial AI Specification)
• Computational Creativity (Creative AI & Analytics Specification)
• AI in Life Sciences and Healthcare (Creative AI & Analytics Specification)
• AI Operations (AIOps)

5. Semester

• Time Series & Predictive AI (Industrial AI Specification)
• Gaming Analytics and Interactive Systems (Creative AI & Analytics Specification)
• IoT and Edge AI
• Research Methods & Scientific Writing
• Robotics and Autonomous Systems
• Data Storytelling and Dashboards

6. Semester

• Internship
• Bachelor Thesis
• Bachelor Thesis Colloquium

In addition to technical and methodological skills, social and personal skills are crucial today. SRH University '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.

To apply for a bachelor's degree programme, you need:

• Recognised university entrance qualification, e.g. the German Abitur, Fachhochschulreife or an equivalent international qualification that entitles you to study at a university in Germany*
• Proof of your English language skills* (TOEFL with at least 80 points, IELTS with 6.5 or Duolingo with 95 points) or an official letter from your previous educational institution confirming that your lessons were conducted in English (Medium of Instruction Letter)
• Curriculum vitae with current passport photo
• Copy of your ID card (front and back); for foreign students, a copy of your passport or national identity card

*Professionally qualified individuals without university entrance qualifications who have at least two years of vocational training and at least three years of professional experience are also eligible to study a specific degree programme if they pass an aptitude test. Please contact us personally for more information.