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.

Content

  • 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.

For the individual courses, please see the semester plan.

Source: Marcelle Lancelle
  • 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

Curriculum

Semester plan

Eugen Brenner, Source: Furgler
Eugen Brenner,
Dean of Studies

We have completely reworked the study programme and given it a modern, international form. From the eight catalogues available, you choose a major and a minor. In addition, we have introduced English as the language of instruction.

Admission Requirements

According to the curriculum, graduates of the following bachelor’s programmes 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 2018/19: 15 October to 15 December 2017
Instructions: Registration for the admission procedure


More about the admission procedure

Regulations for the admission procedure

Admission Deadlines

Winter semester 2017/18:

10 July to 30 November 2017

Summer semester 2018:

8 January to 30 April 2018


Please note:
You may need to complete an admission procedure before you can register for the programme.

Further informationen on admission

International degree programme applicants: admission and application deadlines

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 areas of expertise of the degree programme.
  • 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

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.

Quick Facts

  • Programme: Master’s degree programme in Information and Computer Engineering with a major in the Internet of Things
  • Duration of study: 4 semesters
  • ECTS credit points: 120; of these, at least 40 ECTS in the area Internet of Things
  • Academic degree: Diplom-Ingenieurin or Diplom-Ingenieur (Dipl.-Ing. or DI), equivalent to the Master of Science (MSc)
  • Language of instruction: English

Admission to the programme is dependent upon the admission requirements of the Master’s degree programme.

Source: Baustädter – TU Graz
Source: Malenko
Maja Malenko, PhD student in the Dependable Things Project

IoT is finally here, but as revolutionary as it is, it faces many security challenges. The IoT Major is a great place to start learning about IoT's shortcomings and to gain knowledge and experience to mitigate them. The knowledge you will gain will open the doors for the rapidly growing IoT industry.

Career Options

The goal is to prepare students to meet the challenges of creating a dependable Internet of Things as well as possible. This requires relaying fundamental information and facilitating involvement in current research. The issues address both hardware and software. The basic intention is to educate students, not train them, since the technology and career fields of the Internet of Things are subject to constant change or are only currently being developed.

Internet of Things – Research at the TU Graz

Mentors in the Subject Areas

Advanced Testing Techniques
Bernhard AICHERNIG
Ao.Univ.-Prof. Dipl.-Ing. Dr. techn.
aichernignoSpam@ist.tugraz.at
Website

Control Theory
Martin HORN
Univ.-Prof. Dipl.-Ing. Dr.techn.
martin.hornnoSpam@tugraz.at

Deeply Embedded Systems
Marcel BAUNACH
Univ.-Prof. Dipl.-Inf. Univ. Dr.rer.nat.
baunachnoSpam@tugraz.at
Website

Formal Veri cation
Roderick BLOEM
Univ.-Prof. Ph.D.
roderick.bloemnoSpam@iaik.tugraz.at
Website

IT Security
Stefan MANGARD
Univ.-Prof. Dipl.-Ing. Dr.techn.
stefan.mangardnoSpam@iaik.tugraz.at
Website

Machine Learning
Franz PERNKOPF
Assoc.Prof. Dipl.-Ing. Dr.mont.
pernkopfnoSpam@tugraz.at

Microwave Engineering
Wolfgang BOESCH
Univ.-Prof. Dipl.-Ing. Dr.techn. MBA
wboschnoSpam@tugraz.at

Signal and Information Processing
Gernot KUBIN
Univ.-Prof. Dipl.-Ing. Dr.techn.
gernot.kubinnoSpam@tugraz.at
Website

Wireless Communications
Klaus WITRISAL
Assoc.Prof. Dipl.-Ing. Dr.
witrisalnoSpam@tugraz.at
Website

Wireless Networking
Kay RÖMER
Univ.-Prof. Dipl.-Inform. Dr.sc.ETH
roemernoSpam@tugraz.at
Website