OpenFieldMunich University of Applied Sciences (Hochschule München / HM)
Explore engineering degrees, applied artificial intelligence masters, Strascheg Center entrepreneurship grants, and Bavarian tech fellowships at Hochschule München.
Institutional Overview
Munich University of Applied Sciences (Hochschule München / HM), established in 1971, is the second largest university of applied sciences in Germany with over 18,000 students. Located in the innovation capital of Munich, HM is renowned for mechanical and automotive engineering, computer science, industrial design, architecture, and applied social sciences.
- Type
- Public University of Applied Sciences (Hochschule für Angewandte Wissenschaften)
- Campus
- Lothstraße, Pasing, and Karlstraße Campuses, Munich, Bavaria
- Accreditation
- Bavarian State Ministry of Science and the Arts / ASIIN & ACQUIN
- Admissions
- Fachhochschulreife / Abitur or recognized international school-leaving certificate
- Language
- German (TestDaF 4 / DSH-2); expanding portfolio of 100% English degrees
- Aid
- Bavarian State Student Aid (BAföG), Deutschlandstipendium & HM Excellence Awards
Academic Strengths & Distinctive Focus
- Strascheg Center for Entrepreneurship (SCE) recognized as a top European university incubator
- World-class automotive, mechatronics, and aerospace engineering labs partnering with BMW, MAN, and MTU
- Applied computer science, artificial intelligence, and cybersecurity innovation hubs
- Prestigious Faculty of Design producing award-winning industrial and digital product designers
Featured Academic Degrees & Curricula
Bachelor of Engineering in Mechanical Engineering (Maschinenbau)
Seven-semester applied engineering degree with integrated 20-week industrial internship semester and modern laboratory practicums.
Master of Science in Applied Artificial Intelligence
English-taught graduate program covering deep learning architectures, computer vision, autonomous robotics, and ethics in AI.
Bachelor of Arts in Industrial Design
Studio-based design program training product developers in CAD prototyping, sustainable materials, and human-machine interaction.
Current Verified Opportunities & Fellowships (7)
Deutschlandstipendium at Hochschule München
National merit scholarship awarded to outstanding undergraduate and master's students at HM, funded jointly by the Federal Government and industrial donors.
Master of Science in Applied Artificial Intelligence Enrolment
Three-semester English-taught master's degree focusing on neural networks, natural language processing, edge AI, and industrial automation.
Strascheg Center for Entrepreneurship (SCE) Startup Grant
Bavarian seed funding and acceleration grant supporting student deep-tech startup projects at Hochschule München.
Bachelor of Engineering in Maschinenbau (Mechanical Engineering) Enrolment
Seven-semester foundational engineering degree covering thermodynamics, structural mechanics, CAD design, and sustainable automotive drivetrains.
Bavarian Automotive Industry Internship Practicum
20-week mandatory practical engineering placement in BMW, Audi, or Knorr-Bremse automotive development testing facilities in Munich.
Bachelor of Arts in Industrial Design Enrolment
Renowned design bachelor curriculum emphasizing circular economy materials, ergonomic mobility solutions, and digital interface design.
DAAD Graduation Completion Grant at HM
One-semester financial completion grant supporting international students in their final degree phase at Munich University of Applied Sciences.
Sourced Faculty & Research Advisors (3)
Prof. Dr. Martin Leitner
President and Professor of Mathematics · Department of Mathematics and Computer Science
Prof. Dr. Martin Leitner presides over Hochschule München, championing applied AI curricula, university-industry technology transfer, and entrepreneurship.
Prof. Dr. Peter Dürr
Professor of Mechanical Engineering · Faculty of Mechanical, Automotive and Aeronautical Engineering
Prof. Dr. Peter Dürr researches 3D additive manufacturing processes and lightweight structural design for automotive and aerospace components.
Prof. Dr. Gudrun Socher
Professor of Artificial Intelligence · Faculty of Computer Science and Mathematics
Prof. Dr. Gudrun Socher directs research in deep neural networks and computer vision algorithms for robotic manipulation and smart industrial sensors.
Connect with OpenField Advisors
Our academic advisors provide free mentorship, admission guidance, and research proposal feedback for prospective scholars applying to Munich University of Applied Sciences (Hochschule München / HM).