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Study at FH Joanneum

 Graz, Austria

Embedded Systems Engineering
Photo by Hannah Wasserfaller - FH Joanneum
  1. 50業子
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  4. MSc Embedded Systems Engineering

Embedded Systems Engineering

Master of Science at FH Joanneum

Programme details
Degree: Master of Science (MSc)
Disciplines: Software Engineering
Electronics & Communication
Duration: 2 years
ECTS points: 120
Delivery modes: on-campus
University website: Embedded Systems Engineering
Annual tuition (EEA) ca. 6,600 HKD University currency: 727 EUR
Annual tuition (non-EEA) ca. 13,300 HKD University currency: 1,454 EUR This applies to citizens of Hong Kong
(change)

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Description:

Our excellent training for the electronics and electrical engineering industry offers plenty of practical experience, state-of-the-art equipment, and close cooperation with industry.

You will learn everything you need to know about embedded software and hardware development, system architectures, system-on-chip, data analysis and machine learning for a successful future career. As a future engineer, you will design intelligent software and reliable hardware in order to integrate artificial intelligence into chips, vehicles, factories, and many other innovative products. 

There are seven application deadlines for students from EU countries, the EEA and Switzerland: 1 February 2026, 24 March 2026, 27 April 2026, 26 May 2026, 29 June 2026, 3 August 2026, and 7 September 2026.

The application deadline for international applicants from third countries depends on your nationality:

  • Pakistan, India, Bangladesh, Iran, and Nigeria: 1 February 2026. Documents can be submitted by 29 June 2026.
  • All other non-EU/EEA countries: 29 June 2026, at the latest. Documents can be submitted by 29 June 2026.

Applicants from non-EU/EEA countries (with a few exceptions) are also required to pay a €250 application deposit plus a €10 processing fee. 

Programme overview:

The MSc Embedded Systems Engineering offers comprehensive training in embedded software and hardware development, system architectures, and machine learning. With state-of-the-art equipment and close cooperation with industry leaders like AT&S, Infineon, NXP and many others, you’ll have the opportunity for internships, part-time jobs, and hands-on experience with pioneering technology projects.

Our degree programme takes an overwhelmingly practice-oriented approach. Students work in small groups in excellently equipped laboratories, ensuring they receive individual supervision and plenty of hands-on experience. Moreover, study and in-person attendance is scheduled between Wednesday and Friday, giving students the opportunity to gain additional experience by working part-time for a company in the industry. 

Key subject areas:

  • Innovative. Agile software and hardware development: The high level of complexity of intelligent electronics requires new approaches to product development. You will learn about the latest methods and principles of agile software and hardware development, allowing you to develop products in a flexible and iterative manner. You will design quality assured, reliable software and hardware for a dynamic world.
  • AI. Machine learning and data analysis: You will deepen your understanding of statistical methods and data analysis in order to develop data-driven solutions for a variety of applications. You will learn to understand and apply advanced machine learning techniques and algorithms to extract patterns and insights from large datasets.
  • High-tech. System-on-chip design: Today’s integrated circuits combine a multiplicity of functions on a single chip, making them a “system on a chip”. You will gain a thorough grounding in microelectronics and microprocessor technology, so that you can design and validate complex and powerful chips.
  • High-performance. Real-time computing: Real-time responses to inputs and events are critical for applications such as autonomous driving, industrial automation and energy networks. You will study modern computer and software architectures for embedded systems, enabling you to use machine learning and signal processing algorithms to process large volumes of data with minimal delay.
  • Master’s Thesis & Scientific Work: In your Master’s thesis you will carry out research in your specialised field and present the results in a scientific manner.

Study at FH Joanneum:

  • Industry Collaboration and Job Opportunities: Our close collaboration with local industry and high-tech research centers provides an ideal platform for networking and professional growth. With over a hundred cooperation partners, you’ll have numerous opportunities to engage with industry professionals and work on real-world projects. Learn more about the many located in Austria.
  • Flexible Study Schedule: Understanding the importance of practical experience, our programs are designed to accommodate part-time jobs. Courses are scheduled from Wednesday to Friday, allowing you to balance study with work.
  • Vibrant Graz: As a student in Graz, you’ll experience a city known for its rich cultural heritage, dynamic atmosphere, and beautiful landscapes. It's the perfect setting to inspire innovation and creativity. Watch below a 4k Video of Graz in winter.
  • Application Deadline for International Students: For international students, please note that the application deadline is 20 January 2025 for a start in 29 September 2025. We encourage you to apply early to secure your place in these exciting programs.
  • Semester abroad: Future employers place great value on an integrated education, which is rounded off by a semester abroad. Students in the Institute of Electronic Engineering, therefore, have the opportunity of writing their Master's thesis during their fourth semester spent abroad.

 

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Learn more about this Master

Visit the website of FH Joanneum to find out how to apply and start your study-abroad adventure in Austria! 🙌

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