Information Engineering, M.Sc.
Master of Science in Information Engineering at TUM Campus Heilbronn, Germany — a technically rigorous program at the intersection of software engineering, machine learning, data analysis, and intelligent system design, combining theoretical foundations with industry-partnered, project-based learning. The curriculum pairs compulsory modules in ML for cyber-physical systems and advanced software engineering with a broad elective structure, allowing students to build focused profiles in areas such as generative AI, process mining, GPU computing, or research software engineering. Taught in English at Technische Universität München's Heilbronn campus.
Programme facts
| Degree | Master of Science (M.Sc.) |
|---|---|
| Duration | 4 semesters, 120 ECTS |
| Language of instruction | English |
| Required English | C1 |
| Study mode | Full-Time |
| Start | Winter semester, summer semester |
| Application | uni-assist (VPD) + the university, winter semester until 31.05, summer semester until 30.11 |
| Admission | Aptitude assessment: the university evaluates how well your previous education fits the programme |
| Tuition fee | Set by the university for international students — the amount is on the programme's official page |
| Semester contribution | €97 per semester |
| Campus | Bildungscampus Heilbronn |
What the tuition fee consists of
Will I get in
Admission goes through an aptitude assessment: the university checks how well the subjects, credits and grades of your previous education fit the programme. There is no fixed cut-off — the assessment is comparative.
- ✓Those with a strong background in computer science or a related engineering discipline who want to deepen their technical expertise rather than simply broaden it
- ✓Those who enjoy working at the boundary between theoretical rigor and applied software systems — equally comfortable writing a scientific paper and collaborating on a real industry project
- ✓Those drawn to data-intensive or AI-driven problems: students interested in process mining, generative AI, large-scale computation, or knowledge representation will find substantial elective depth
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- ✓Those who value curricular flexibility — the program suits people who already have a sense of the sub-field they want to specialize in and want to build a coherent, self-directed course portfolio
- ✓Those with a preference for a mid-sized, innovative campus environment rather than a large city campus — Heilbronn offers close proximity to industrial partners in the region and a focused academic community
- ✓Those who see themselves either entering technical roles in industry (software architecture, data engineering, solution design) or continuing to doctoral research
- ✓Those comfortable working and presenting entirely in English within a professionally and culturally diverse cohort
- —Admission is competitive and involves a two-stage qualification procedure. A bachelor's degree alone does not guarantee admission; applicants are assessed on the fit between their prior study content and the program's requirements.
- —International applicants from outside Germany must obtain a preliminary document assessment (VPD) before submitting their application. This is an additional step that requires time and advance planning — factor this into your application timeline.
- —The campus is located in Heilbronn, a mid-sized city in Baden-Württemberg. While the region has strong industrial density and low unemployment, students looking for a large university-city lifestyle will find the environment more compact and professionally oriented than campuses in Munich or Berlin.
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- —The program's elective-heavy structure demands self-direction. Students who prefer a tightly structured curriculum may find the freedom challenging; building a coherent specialisation requires intentional course planning from the start.
- —The program qualifies graduates for doctoral study, but those aiming for an academic research career should note that the primary career orientation of graduates is industry-facing. Research pathways exist but are not the dominant graduate trajectory.
- —All coursework is in English. There is no German-language stream and no requirement for German proficiency. Students planning to live and integrate in Germany longer-term may wish to supplement their studies with German language courses available through the TUM Language Center.
How the selection works and how strong the competition is — we go through it against your certificate when we select programmes for you.
Programme selection →About the programme
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.
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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.
What you study
Semester 1 — Fundamentals in Information Engineering
- Machine Learning (5 ECTS): Focuses on selecting optimal learning algorithms for the optimisation of cyber-physical business systems; covers theoretical properties and practical application of core ML methods.
- Advanced Topics of Software Engineering (5 ECTS): Addresses software product creation with emphasis on scalability, maintainability, robustness, testability, and portability; connects engineering principles to real-world system design.
- Electives in Information Engineering (first portion of 44 ECTS total): Students begin building their technical elective portfolio. Available options include Advanced Software Testing and Analysis, Network Coding, Parallel Computing, Process Mining, Numerical Linear Algebra for Computational Science and Information Engineering, Advanced Algorithms, Data Visualization, Knowledge Graphs, Cryptography, Research Software Engineering, Introduction to C++, Foundations and Application of Generative AI, AI Coding: Modern Software Development, GPU Computing, Computational Geometry, Mathematical Foundation of Cryptography, Games on Graphs, DevOps: Engineering for Deployment and Operations, Convex Optimization, Introduction to Scientific Computing, Design Space Exploration using Software Simulators, Introduction to Natural Language Processing, Empirical Methods for Software Engineering, and Guided Research.
- Electives in Management & Economics (first portion of 12 ECTS): Options include Social Media Marketing, CEO Leadership Series, CEO Strategy Series, Game Theory, Digital Finance, Economics and Management of Platforms, Inventory Management, and seminar courses in Operations Management and B2B Contract Negotiations.
- Ethics in Information Engineering (3 ECTS, required): Students choose one of Ethics of AI, Media Ethics, or Ethics for Nerds.
The full curriculum and the programme's parameters are part of programme selection: we compare them with your profile.
Pick programmesCareer
Graduates of this program are equipped for roles in software and data engineering, IT and solution architecture, and technical project or process management. The program's breadth — spanning AI, software systems, process analytics, and data infrastructure — makes graduates employable across a wide range of sectors, including mechanical engineering, electrical engineering, healthcare informatics, financial technology, and logistics.
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The Heilbronn-Franken region, home to numerous mid-sized industrial companies and technology firms (Mittelstand), offers strong local career prospects. Graduates are also qualified to pursue doctoral research at TUM or comparable institutions, positioning them for academic or industry R&D careers.
Cost of study
| Semester contribution | €97 |
|---|
Requirements and application
| Previous education | Applicants must hold a bachelor's degree (or equivalent) in a relevant field — typically computer science, information engineering, electrical engineering, mathematics, or a closely related discipline. |
|---|---|
| Language | English C1 — confirmed by a certificate when you apply |
| Application | uni-assist (VPD) + the university, winter semester until 31.05, summer semester until 30.11 |
The procedure and the set of documents depend on your certificate. We check the university's requirements against your documents and give you a list: what to submit, how to certify and translate it, where and when to apply.
Check the requirementsHow to get into this programme
- 1Check your certificate and its recognitionDirect admission, a year at a university at home, or Studienkolleg first — this decides the whole plan.
- 2Documents and translationsCertified translations of the certificate and transcript, an APS if required. 3–4 weeks.
- 3Application uni-assist (VPD) + the university until 30.11uni-assist checks documents for 4–6 weeks — send them well before the deadline.
- 4Admission, visa, movingPlan 2–3 months for the visa and the blocked account in parallel.
How to apply
You can submit the application yourself or with our help — the university decides on admission in both cases.
Applications go through the university's portal or uni-assist. Typical mistakes:
- ×incorrectly made certified copies and translations
- ×a wrong set of documents
- ×the application submitted the wrong way
- ×errors or gaps in the application form
- ×the application submitted at the wrong time — too early or too late
An incomplete or incorrectly prepared application is excluded from the selection — it can no longer be corrected after the deadline.
StudyInFocus does not represent the university and does not influence the admission decision. We do not sell study places and do not guarantee admission — this is a service for preparing and submitting documents on the applicant's side.
If your level is not enough yet
The two most common stoppers are a language level below the requirement and a certificate without direct admission. Both can be solved, but they take months — plan them now, not after a rejection.
Questions about this programme
How much does the programme cost?
What language level do I need?
When do I need to apply?
Don't postpone the application
The deadline is 30.11.2026 (47 days left). Language, translations and the document check take months, not weeks. In 30 minutes we will build a plan backwards from the deadline and tell you honestly whether you can make it.