Faculty of Computer Science and Data Science

• Big Data and data engineering
• Artificial Intelligence and Machine Learning
• Human-Computer Interaction (Mensch-Maschine-Interaktion)
• Business Informatics (Wirtschaftsinformatik)
• Bioinformatics

Programmes are taught primarily in German, and are available at Bachelor's and Master's levels. The faculty's five departments — Allgemeine Informatik, Wirtschaftsinformatik, Bioinformatik, Maschinelles Lernen und Data Science, and Menschzentrierte Informatik — each contribute distinct academic emphases, ensuring both depth and breadth across the curriculum.

• Five specialised departments mean you can focus on anything from Bioinformatics to Human-Centred AI within a single faculty structure
• Interdisciplinary research environment: direct collaboration with Regensburg's natural science, medical, and psychology faculties
• Future-focused curriculum covering Big Data, Explainable AI, Post-Quantum Cryptography, and Reinforcement Learning — not just classical CS fundamentals
• Located in Regensburg, a UNESCO World Heritage city with a thriving tech and life-sciences industry ecosystem in the heart of Bavaria

• Information Security: machine learning for IT forensics, AI robustness against adversarial attacks, Cyber Threat Intelligence exchange, Cyber Ranges and attack simulation, Post-Quantum Cryptography, and privacy-enhancing anonymisation/pseudonymisation methods
• Explainable AI (XAI): symbolic methods for formal AI interpretability, Differential Privacy, and XAI applications in immunology, oncology, image processing, and business value creation — spanning all five FIDS departments
• Computational Methods in the Natural Sciences: statistical and ML methods for high-throughput sequencing, mass spectrometry, and high-resolution microscopy data; simulation algorithms integrating ML for quantum-mechanical and genetic interaction modelling; Reinforcement Learning for experimental design and control
• Human-Centered AI: "Human in the Loop" AI systems, human-robot interaction, Fake News detection, medical decision-support and recommender systems, smart environments, and the ethical/legal dimensions of AI in information processes

All four areas contribute directly to Universität Regensburg's strategic research priorities Digital Transformations and Integrated Sciences in Life, Health, and Disease.

Because FIDS sits within Universität Regensburg — a full comprehensive university — international applicants benefit from the university's central international office infrastructure and Erasmus+ exchange network. Specific faculty-level scholarship programmes and faculty Erasmus partner lists are best confirmed directly via the FIDS study office.

• Cybersecurity and IT forensics: security analyst, penetration tester, threat intelligence engineer — particularly relevant given Bavaria's concentration of automotive and industrial companies
• Data Science and Machine Learning: data engineer, ML engineer, AI researcher in sectors such as life sciences, pharmaceutical R&D, fintech, and manufacturing
• Business Informatics and digital transformation: IT consultant, ERP/process specialist, IoT systems architect in industry 4.0 and e-commerce
• Bioinformatics and computational biology: researcher or data scientist at hospitals, biotech firms, and university research institutes
• Human-Computer Interaction and UX: interaction designer, UX researcher, product manager at software companies and tech start-ups

Regensburg's proximity to major Bavarian employers — including the BMW Group, Siemens, and a dense cluster of Mittelstand tech companies — creates direct regional recruitment pipelines for FIDS graduates.