Data, Science and AI (B.Sc. or B.A)

Profile

The DSAI program provides a comprehensive educational experience that integrates a strong foundation in mathematics and computer science with theoretical knowledge and practical skills in Artificial Intelligence (AI), computational methods and data science. One of the program's standout features is its range of specialisation options, which empower students to explore various domains such as mathematics, computer science, natural sciences, life sciences, data science and humanities. This flexibility not only fosters a personalized learning experience but also enables students to tailor their academic paths according to their individual interests and career aspirations.

Structure

The program consists of two distinct phases: 

• Foundations and Orientation Phase (Semesters 1–3): During this initial phase, all students complete essential core courses covering mathematics and computer science. This foundational training is followed by an introduction to the various specialisations available within the program. 
• Specialisation Phase (Semesters 4–6): In this phase, students concentrate on their selected area of specialisation, receiving comprehensive training tailored by the respective departments. Each student is paired with a dedicated mentor who provides guidance and support throughout this specialised training.
   

Currently, the following specialisations are offered:

• Mathematics
• Computer Science
• Natural and Life Sciences
• AI and Data Science
• Human-Centered Data Science

Why study at the University of Bayreuth?

The University of Bayreuth is currently celebrated as one of the leading young universities in the world, as highlighted by the Times Higher Education "150 under 50" ranking. It provides a diverse array of study programs across various fields, including sciences, humanities, engineering, law and social sciences, offering degrees from Bachelor's to PhD levels. 

As a public research university of the State of Bavaria, the University of Bayreuth benefits from strong connections with both regional and national industries, enhancing its academic and research profile. The university takes pride in its reputation for academic and scientific excellence, fostering a supportive environment for students and providing close supervision in both undergraduate and graduate programs. This commitment to quality education is reflected in the consistently high rankings of its mathematics and physics programs in the national CHE rankings.

Designed as a campus university—a rarity among public institutions in Germany—the University of Bayreuth offers an ideal setting for both academic pursuits and extracurricular activities. All essential facilities, including lecture halls, laboratories, libraries, dormitories, cafeterias and sports facilities, are conveniently located within a short walking distance of each other, creating a cohesive and enriching student experience. Nestled amidst the lush hills of Upper Franconia, the town of Bayreuth is renowned for its rich historical heritage, breathtaking landscapes and vibrant cultural scene.

Established during the Middle Ages, Bayreuth once served as the residence of Margraves, who left a lasting legacy through the construction of luxurious palaces and beautifully landscaped gardens. The town is celebrated for its thriving classical music community and is home to the Baroque Opera House, a UNESCO World Heritage site. Each year, Bayreuth becomes the focal point of the world-famous Wagner Opera Festival (Bayreuther Festspiele), attracting enthusiasts from around the globe. Known for its safety and moderate cost of living, Bayreuth is not only a regional hub for industry and commerce but also a sought-after tourist destination. It is home to several esteemed educational institutions, with the University of Bayreuth standing out as a premier centre of learning.  

This program educates its students to become highly skilled professionals well-equipped for careers across a diverse array of fields, including data science, engineering, natural and life sciences, humanities and business. They are poised to excel in roles that involve academia, scientific and industrial research, the development of data-intensive systems and much more. With a solid foundation in mathematics and computer science, graduates are prepared to advance and innovate in key areas such as simulation, optimization, data analysis and artificial intelligence—critical sectors in today’s rapidly evolving job market.

Some exemplary career paths and roles that graduates may pursue:

• Data Scientist: Utilizing statistical analysis and machine learning algorithms to interpret complex data sets, data scientists play a crucial role in helping organizations make data-driven decisions.
  
  
• Software Engineer: Graduates can design, develop and maintain software applications, focusing on creating efficient solutions to meet user needs and improve system performance.
  
  
• Research Scientist: In academic or industrial settings, research scientists conduct experiments, analyse results, and contribute to advancements in fields such as natural sciences and engineering.
  
  
• Business Analyst: Leveraging data analysis skills, business analysts evaluate business processes, identify opportunities for improvement, and recommend data-driven strategies to enhance operational efficiency.
  
  
• Machine Learning Engineer: These professionals develop algorithms that enable machines to learn from and make predictions based on data, playing a vital role in AI development.
  
  
• Quantitative Analyst: Often found in finance, quantitative analysts use mathematical models to inform investment strategies and risk management.
  
  
• Data Engineer: Data engineers focus on building and maintaining the infrastructure and architecture for data generation, ensuring that data is accessible and usable for analysis.
  
  
• Consultant: Graduates can work as consultants, providing expert advice to organizations on data strategies, technology implementation and process improvements.
  
  
• Academia: Those interested in teaching and research can pursue advanced degrees and positions in universities, contributing to the education of future professionals and advancing knowledge in their fields.

The program emphasizes practical applications in areas of significant scientific, social and economic relevance, ensuring that graduates are ready to make meaningful contributions in a wide range of professional and academic environments.

• Good mathematical preparation
• Interest in working with computers
• Problem-solving skills
• Strong motivation and scientific curiosity

Specific features & further information

• Part-time study is possible
  
  

Semester fee

The University of Bayreuth does not charge any tuition fees. The semester fee (currently about 165 Euro) supports the Studierendenwerk Oberfranken, responsible for managing university dormitories and cafeterias, and includes a semester ticket for the use of public transportation in Bayreuth, Kulmbach and many regional transport systems in various parts of Germany.

Language proficiency

English: A good command of written and spoken English (equivalent to B2 of the European Framework of Reference for Languages) is a prerequisite. You may submit a language certificate, school certificate or a degree awarded by an institution whose language of instruction is English. 

German: A beginner’s command of German (equivalent to A1 of the European Framework of Reference for Languages) is required. This requirement can be also fulfilled by submitting an A1 language certificate in German by the end of the second semester of study.

Additional requirements:

TestAS or SAT certificate

Available soon