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Information Engineering and Digital Transformation● OpenMastersPreview

Master of Science in Information Engineering

Interdisciplinary master’s programme bridging sensor technology, information systems, and business models for digital transformation.

Best for:Best for graduates with a background in informatics, industrial engineering, or related fields seeking to specialize in end-to-end system design for digital transformation.

Technical University of Munich · Heilbronn, Germany
More professors at Technical University of Munich
cyber-physical systemssensor technologyinformation systemsbusiness modelsdigital transformationsoftware engineering
This is a masters position — not a PhD studentship.
Deadline
Register by 30 November 2026 + 1 more
Funding
Unfunded
4 semesters (2 years)
Start date
Winter or Summer semester (flexible)
Full-time
Location
Heilbronn
Germany

Overview

The Master of Science in Information Engineering at Technical University of Munich (TUM) prepares students to design end-to-end cyber-physical business systems, integrating expertise from sensor technology, software engineering, and business models. Located in Heilbronn, this four-semester programme combines compulsory modules in machine learning, advanced software engineering, and information engineering seminars with elective courses in management, economics, and ethics. It emphasizes hands-on learning, including a mobility window for study abroad in the third semester, and prepares graduates for research-oriented careers or doctoral studies. The curriculum is designed for innovation-driven professionals who aim to tackle complex socio-technical challenges in the digital economy.

Information Engineeringcyber-physical systemsdigital transformationsensor technologysoftware engineeringmachine learningbusiness modelsinterdisciplinary research

What you'll do

  • Develop expertise in designing end-to-end cyber-physical business systems integrating sensor technology, information systems, and business models.
  • Engage in advanced modules on machine learning and software engineering to deepen technical and analytical skills.
  • Participate in interdisciplinary seminars and practical courses to address complex socio-technical challenges.
  • Complete a study abroad unit during the third semester to gain international exposure and cultural competence.
  • Conduct research and develop solutions that bridge technical and business domains for digital transformation.
  • Collaborate on projects that emphasize innovation and research qualification for potential doctoral studies.

Requirements

Degree required: Bachelor’s degree in Information Engineering, Informatics, Industrial Engineering, or a related field from a recognized university

Language: English proficiency at B2 level or equivalent (IELTS Academic: 6.5, PTE Academic: 65, TOEFL iBT: 88, or equivalent)

Instruction: English

Required skills
  • Proven academic background in informatics, engineering, or related disciplines
  • Basic proficiency in programming and software development
  • Understanding of fundamental concepts in sensor technology and information systems
  • Ability to work in interdisciplinary teams
  • Strong analytical and problem-solving skills
Nice to have
Experience with machine learning or data analysis toolsFamiliarity with business model development and innovation managementPrior exposure to research projects or academic publications
Eligibility
  • Applicants must hold a recognized Bachelor’s degree in a relevant field
  • No nationality restrictions; open to applicants from all countries
  • No specific age limit mentioned
  • Applicants from Iran, Pakistan, Bangladesh, Vietnam, China, and India may require additional documentation (e.g., GRE, APS Certificate)

Funding & terms

Type
Unfunded
Amount
—
Duration
4 semesters (2 years)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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Application instructions
Not confirmed by the source
Tuition
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Funding
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How to apply

Deadline: 1 October - 30 November (summer semester) / 1 February - 31 May (winter semester)

Applicants must submit their application through the TUM Online Application Portal. Required documents include a degree certificate, curriculum of the first degree, curricular analysis, résumé, letter of motivation, essay, proof of English proficiency, and additional documents if applicable (e.g., GRE, APS Certificate). International applicants from non-German universities must also submit a VPD from uni-assist.

Documents required
  • Degree certificate and diploma of the first degree
  • Curriculum of the first degree
  • Curricular analysis
  • Résumé (in English)
  • Letter of motivation
  • Essay on a specified topic
  • Verification of English language skills (certificate or Bachelor’s thesis in English)
  • VPD (Vorprüfungsdokumentation) from uni-assist (for non-German universities)
  • GRE (for applicants from Iran, Pakistan, Bangladesh, Vietnam, China, India)
  • APS Certificate (for applicants from China, India, Vietnam)
↗Check programme and admissions

Contact

TUM Center for Information and Technology (CIT)· Admissions Office

https://www.cit.tum.de/en/cit/studies/degree-programs/master-information-engineering/

Lab
Information Engineering Programme
Technical University of Munich
Germany
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