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Die Bachelorstudiengänge der UdS
Bioinformaticians work at the interface between computer science and the life sciences. They develop algorithms and software that can simulate biochemical processes and can analyse molecular, biological and genetic data. This degree programme delivers a strong academic foundation in bioinformatics by equipping students with a solid grounding in the fundamentals of computer science and the life sciences. Students learn to understand the kinds of questions addressed by bioinformatics and its applications, to model them mathematically, and to apply scientific methods and insights from computer science to solve them.
Computational Linguistics explores how human language can be processed by machines. It brings together knowledge, methods and tools from a range of disciplines, especially linguistics and computer science, but also mathematics and psychology. The models used in computational linguistics help answer key questions about the relationship between language, thought and communication, and about how this knowledge can be used to build computer systems that understand language. ChatGPT, machine translation services and chatbots – all now an integral part of everyday life and modern information technology – would be unthinkable without the foundations laid by computational linguistics. Saarland University is one of the world's leading centres for computational linguistics, with a clear focus on neural language models and machine learning, and teaching that reflects the latest developments in the field.
This degree programme addresses all aspects of cybersecurity – a field of major social and political relevance. From the very first semester, students build the foundations for a comprehensive understanding of the field through courses such as Foundations of Cybersecurity, Elements of Machine Learning, and Cryptography. Specialist knowledge in IT security is complemented by content from core modules in computer science and mathematics. The programme is also strongly research-oriented, and all course content reflects the current state of cybersecurity research. A wide range of seminars and advanced modules allow students to specialize further and build expertise in the areas that interest them most during their studies.
The Bachelor's degree programme in Data Science and Artificial Intelligence provides a broad, academically rigorous understanding of how large and complex data sets can be analysed using methods from artificial intelligence. The programme focuses on statistics, machine learning, big data engineering, and core areas of computer science such as mathematics, programming and theoretical computer science. Students learn how to analyse data-driven problems and develop solutions for applications in areas such as medicine, mobility, industry and natural language processing. Because the programme involves working with sensitive data, IT security, data protection and ethical issues also play an important role. The programme is aimed at prospective students who enjoy mathematics, logical thinking, data and cutting-edge technologies. By tackling practical problems and interdisciplinary applications, graduates are well-prepared for advanced study in a Master's programme or for undertaking research and professional roles in business, science and technology.
The Bachelor's degree programme in Computer Science provides a broad, academically rigorous understanding of the discipline: from programming, algorithms and data structures to theoretical computer science, systems architecture and the underlying mathematical foundations. Students not only learn to use new technologies, but also to understand how these technologies work – giving them greater insight into the digital world and the capacity to help shape it. The programme is therefore particularly suited to school students who enjoy logical thinking, mathematics and technology. With practical skills classes, projects, a software engineering lab and a subsidiary (minor) subject that can be freely selected, the programme allows students the freedom to tailor their studies to their individual interests. Graduates are well prepared for advanced study in a Master's programme or for undertaking research and professional roles in business, science and technology.
The Bachelor's degree programme in Mathematics and Computer Science gives equal weight to the foundations of both disciplines. On the mathematics side, this includes areas such as analysis, linear algebra, numerical methods and stochastics. In computer science, the programme focuses on the fundamentals of programming, algorithms and data structures, as well as foundational knowledge of theoretical computer science. The knowledge and skills acquired in this programme enable students to specialize in any area of either subject.
Media Informatics combines the core content of a traditional computer science degree with artistic aspects of media design and insights from perceptual psychology. The programme enables students to become acquainted with the principles of digital media and of how software is designed, programmed and implemented. In addition to completing modules in computer science, students also attend seminars and lectures at the University of Art and Design Saar (HBKsaar) and the Department of Psychology at Saarland University.
Business Informatics examines and shapes digitalization processes across business, public institutions and wider society. It analyses the potential of new information technologies and develops innovative IT and organizational concepts. Business Informatics is focused on developing and applying information and communication systems in companies and organizations and on supporting and driving forward digital transformation. As an interdisciplinary field, it lies at the interface between business studies and computer science.
This programme is taught entirely in English and is designed to prepare students for an international world of work and research. Saarland University is one of the top locations for computer science in Germany. Students benefit from an exceptionally research-intensive environment and from close links with internationally renowned partner institutions such as the German Research Center for Artificial Intelligence (DFKI), two Max Planck Institutes and the Helmholtz Center for Information Security (CISPA). The Bachelor's degree programme in Computer Science provides a broad, academically rigorous understanding of the discipline: from programming, algorithms and data structures to theoretical computer science, systems architecture and the underlying mathematical foundations. With practical skills classes, projects, a software engineering lab and a subsidiary (minor) subject that can be freely selected, the programme allows students the freedom to tailor their studies to their individual interests. Graduates are well prepared for advanced study in a Master's programme or for undertaking research and professional roles in business, science and technology.
This Bachelor's degree programme in Cybersecurity is taught entirely in English, enabling students to prepare early for suitable Master's programmes and also opening the study programme to students who do not speak German. Specialist knowledge in IT security is complemented by content from core modules in computer science and mathematics. A wide range of seminars and advanced modules allow students to specialize further and build expertise in the areas that interest them most during their studies. The Cybersecurity (English) programme starts in the winter semester; application deadlines are 15 January, 15 June and 15 July.