Data, Science and AI
The Bachelor of Science in Data, Science and AI is an interdisciplinary undergraduate program offered by the University of Bayreuth. Designed for students aiming to develop expertise in mathematics, computer science, and artificial intelligence, this full-time international degree combines theoretical foundations with practical applications. Students gain hands-on experience in data analysis, machine learning, and AI technologies, preparing them for careers in research, industry, and academia. The program is structured across six semesters and admits students exclusively in the winter semester.
Located in Bayreuth, a city renowned for its strong research and innovation environment, this program emphasizes both analytical skills and practical problem-solving. With a focus on interdisciplinary learning and project-based training, students not only acquire advanced computational and data skills but also benefit from opportunities to collaborate with industry partners and international research networks. The course reflects Germany’s commitment to high-quality education and technological excellence, making it an ideal choice for those seeking to specialize in data science and AI for global applications.
Key information
Key Facts
- Degree: Bachelor of Science (B.Sc.) or Bachelor of Arts (B.A.)
- Standard period of study: 6 semesters
- Location: Bayreuth, Germany
- Study Type: Undergraduate (full-time)
- Admission semester: Winter semester
- Area of study: Mathematics, Computer Science, Artificial Intelligence, Data Science
- Admission modus: Aptitude assessment procedure
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science and AI
- Introduction to Mathematics and Computer Science
- Basics of Programming and Algorithms
- Introduction to Artificial Intelligence and Machine Learning
- Data Structures and Databases
Semester 2 – Intermediate Concepts
- Linear Algebra and Calculus
- Probability and Statistics
- Data Analysis and Visualization
- Introduction to Natural Sciences and Humanities
Semester 3 – Specialization and Application
- Specialization in chosen field (e.g., Mathematics, Computer Science, Natural Sciences, Life Sciences, Data Science, Humanities)
- Applied Machine Learning
- Ethics in AI and Data Science
- Interdisciplinary Projects
Semester 4 – Advanced Topics
- Advanced Algorithms and Data Structures
- Advanced Machine Learning and Deep Learning
- Research Methods and Scientific Writing
- Elective Courses in chosen specialization
Semester 5 – Practical Experience
- Internship or Research Project
- Application of learned concepts in real-world scenarios
- Collaboration with industry partners or research institutions
Semester 6 – Final Phase
- Bachelor's Thesis
- Presentation and Defense of Thesis
- Preparation for transition to Master's programs or employment
Career Opportunities
Graduates of this program are well-prepared for a wide range of roles in data science, artificial intelligence, and technology-driven industries. Career paths include data scientist, AI researcher, machine learning engineer, software developer, data analyst, and research scientist. With Bayreuth’s strong research environment and industry connections, students have excellent opportunities to collaborate with companies, research institutes, and international networks.
Why Choose This Program
Choosing the Bachelor of Science in Data, Science and AI means joining a program that combines academic rigor with practical experience. Offered by the University of Bayreuth, it provides students with access to experienced faculty, modern laboratories, and collaborative projects with industry and research partners.
The program’s unique strength lies in its interdisciplinary curriculum, combining mathematics, computer science, and AI with domain-specific knowledge. Students not only develop analytical and computational skills but also gain practical problem-solving and teamwork experience, preparing them to thrive in the rapidly evolving global AI and data science landscape.
Contact Information
University of Bayreuth – Student Advisory Service
Universitätsstraße 30
95447 Bayreuth, Germany
Tel: +49 921 55-0
Email: info@uni-bayreuth.de
Data, Science and AI – Programme Contact
University of Bayreuth, Faculty of Mathematics, Physics & Computer Science
Universitätsstraße 30
95447 Bayreuth, Germany
Email: data-science-ai@uni-bayreuth.de
International Office – University of Bayreuth
Universitätsstraße 30
95447 Bayreuth, Germany
Tel: +49 921 55-1000
Email: international@uni-bayreuth.de
