An English-taught master's program at TUM Campus Heilbronn that bridges advanced software engineering, machine learning, and data-driven process analysis — with a mandatory industry project and flexible specialisation paths in generative AI, process mining, data visualization, and numerical methods.
The Master of Science in Information Engineering at TUM Campus Heilbronn is designed for graduates who want to develop deep technical expertise at the intersection of software engineering, machine learning, data analysis, and intelligent system design. The program combines a rigorous theoretical foundation with strongly applied, project-based learning — preparing students to engineer complex information systems for real-world industrial and scientific environments.
The curriculum is structured around a compact set of compulsory fundamentals — covering machine learning for cyber-physical system optimisation, advanced software engineering principles (scalability, maintainability, testability, robustness), and a substantial practical course completed in collaboration with an industry partner. A scientific seminar on a theory-oriented topic in Information Engineering rounds out the foundational phase.
The bulk of the program's 120 ECTS is devoted to elective modules, giving students significant freedom to shape their own academic profile. Technical electives span a wide spectrum: from process mining, parallel and GPU computing, and computational geometry to generative AI, knowledge graphs, cryptography, and DevOps practices. A dedicated block of management and economics electives — including game theory, digital finance, platform economics, and supply chain management — ensures graduates understand the organisational context in which technology operates. Ethics in Information Engineering is a required elective area, with options covering AI ethics, media ethics, and applied philosophy.
The program also incorporates a General Studies component, offering intercultural competence seminars, design thinking, sustainability basics, and language courses through TUM's language center. The fourth semester is reserved entirely for the Master's Thesis (30 ECTS), in which students conduct original research under academic supervision.
Located at TUM Campus Heilbronn — an expanding technology campus affiliated with the globally ranked Technische Universität München and embedded in the economically dynamic Heilbronn-Franken region — the program benefits from close industry proximity and TUM's research infrastructure within the School of Computation, Information and Technology.
