TU Graz/ Studying and Teaching/ Degree and Certificate Programmes/

Master's Degree Programme Information and Computer Engineering

Information technologies and electrical engineering continue to develop at a rapid pace and have a major influence on everyday life and business. In the master’s degree programme Information and Computer Engineering taught in English at TU Graz, you work with internationally-renowned scientists and teams from industry and research on the technologies of the future.


  • You study the main theories, principles and methods of information processing, information technology and electrical engineering.
  • With the support of a mentor, you specialise in two fields.
  • You work on projects with fellow students, and teams from industry and international research.
  • You learn how to present project results in reports and lectures in a scientifically correct manner.
  • You learn how to handle the rapid development of information technologies and electrical engineering and how to update your own knowledge independently.
  • You have the opportunity to complete a study period abroad, providing the ideal complement to your degree programme.

Eight fields are available to choose from

  • Secure and Correct Systems
  • Computer Vision and Graphics
  • Robotics and Computational Intelligence
  • Signal Processing and Human Communication
  • Communications and Mobile Computing
  • Embedded and Automotive Systems
  • Measurement and Control Systems
  • Microelectronics and IC Design

Alternatively you can choose the Major in Internet of Things.

Two students with 3D glasses in a virtual room.
  • Duration of study: 4 semesters
  • ECTS credit points: 120
  • Academic degree: Diplom-Ingenieurin or Diplom-Ingenieur (Dipl.-Ing. or DI), equivalent to the Master of Science (MSc)
  • Language of instruction: English
  • Admission requirements


Semester plan

Hannah Brunner. Source: Kanizaj – TU Graz
Hannah Brunner, student

I study Information and Computer Engineering because it’s extremely exciting being part of new technological developments right from the beginning.

Admission Requirements

According to the curriculum, graduates of the following bachelor’s programmes offered at TU Graz and University of Graz will be accepted without an admission procedure (in part with with stipulations):

Graduates of all other degree programmes offered at the TU Graz or, in the case of a NAWI Graz programme, the University of Graz, as well as graduates of the programmes listed on www.tugraz.at/fakultaeten/infbio/studies/starting-a-masters, also do not have to undergo the admission procedure. You can apply for admission at the Registration Office.

All other programme applicants must undergo the admission procedure.

Registration period for the academic year 2020/21: 15 October to 15 December 2019

More about the admission procedure

Regulations for the admission procedure

Admission Deadlines

Winter semester 2020/21:

13 July to 30 November 2020

Summer semester 2021:

11 January to 30 April 2021

Further informationen on registration and admission

International degree programme applicants: admission and application deadlines

Reinmar Kobler
Reinmar Kobler, graduate; University Project Assistant and Deputy Head of Institute at TU Graz

 I completed my bachelor’s and master’s degrees in Telematics (now: Information and Computer Engineering) at TU Graz. The Telematics degree programme allowed me to deepen and build on my existing knowledge in the field of computer science (HTL).

I still remember clearly that there was a lot of fundamental information to learn during the bachelor's degree programme, but a great deal of freedom was permitted in the master's degree programme. At the time, I thought that this was a good idea and, thinking back on that time, I can only confirm that. I specialised in the area of biosignal processing and machine learning. After working for a brief period of time in the private sector, I started a doctoral programme at TU Graz, which I am completing now.

Career Options

Graduates have a variety of career opportunities:

  • They conduct research at universities, other research institutions, and research and development departments in business.
  • They design, operate, and evaluate complex hardware and software systems in the area of information technology, the automotive industry, and telecommunications.
  • The systems they design are used in e.g. smartphones and apps or robotic systems.
  • At national and international levels, they work on a self-employed basis or in an employment relationship e.g. in industry, in young start-ups, or in the services sector.
  • They frequently manage departments or projects.


Information and Advice for Prospective Students

Major in Internet of Things

More than 50 billion smart things – objects equipped with microcomputers – are expected to be able to communicate with each other by 2020 via the Internet of Things. This technology opens avenues to countless new applications that will have a huge impact on society. Cars communicate with each other on the road. Intelligent pipelines locate leaks quickly and cost-effectively. In industrial manufacturing, products and machines communicate with one another, enabling the manufacture of customized products at a low cost, and much more.

One of the biggest challenges being faced is dependability of the Internet of Things. Critical applications in the areas of health, transportation or production always need to function flawlessly, even if they are exposed to disruptive influences and targeted attacks.

By choosing to major in the Internet of Things, based on the Master’s programme Information and Computer Engineering, you can study this subject through intensive research and specialise in a cutting-edge topic with the highest social relevance.

Programme Structure

To complete a Master's degree in Information and Computer Engineering with a major in the Internet of Things, your degree programme must include:

  • Major in Internet of Things: at least 40 ECTS
    You complete courses from three areas of the subject Internet of Things.
  • Minor: at least 20 ECTS
    You choose a minor from one of the eight technical catalogues of electives or the non-technical elective subject Business, Law, and Management.
  • Elective subject: up to 14 ECTS
    You choose the courses for the elective subject according to the curriculum. The total credits accrued from the major, minor and elective subjects must be no less than 74 ECTS.
    Seminar/Project: 10 ECTS in a subject area related to the Internet of Things.
  • Free-choice subject: 6 ECTS
  • Master’s thesis: 30 ECTS

Total credits: 120 ECTS

More details can be found in the study plan.

Subject Areas

You choose three from the following ten areas for a total of at least 40 ECTS to major in the Internet of Things:

  • Advanced Testing Techniques
  • Control Theory
  • Deeply Embedded Systems
  • Formal Verification
  • IT Security
  • Machine Learning
  • Microwave Engineering
  • Signal and Information Processing
  • Wireless Communications
  • Wireless Networking

You can find more specific information about the content, courses and mentors in each area here: Overview of the subject areas.

Internet of Things – Research at the TU Graz

  • Research Centre Dependable Internet of Things
    Ten top researchers in the fields of Computer Science, Biomedical Engineering and Electrical and Information Engineering work together to create a dependable Internet of Things.
  • First lead project at the TU Graz: Dependable Internet of Things in Adverse Environments (in German: Verlässlichkeit im Internet der Dinge)
    The lead project is anchored in the Field of Expertise Information, Communication and Computing, one of the five strategic Fields of Expertise at the TU Graz.

Mentors in the Subject Areas

Advanced Testing Techniques
Ao.Univ.-Prof. Dipl.-Ing. Dr. techn.

Control Theory
Martin HORN
Univ.-Prof. Dipl.-Ing. Dr.techn.

Deeply Embedded Systems
Univ.-Prof. Dipl.-Inf. Univ. Dr.rer.nat.

Formal Veri fication
Roderick BLOEM
Univ.-Prof. Ph.D.

IT Security
Univ.-Prof. Dipl.-Ing. Dr.techn.

Machine Learning
Assoc.Prof. Dipl.-Ing. Dr.mont.

Microwave Engineering
Wolfgang BOESCH
Univ.-Prof. Dipl.-Ing. Dr.techn. MBA

Signal and Information Processing
Gernot KUBIN
Univ.-Prof. Dipl.-Ing. Dr.techn.

Wireless Communications
Assoc.Prof. Dipl.-Ing. Dr.

Wireless Networking
Univ.-Prof. Dipl.-Inform. Dr.sc.ETH