Alternatively you can choose the Major in Internet of Things.
Diplom-Ingenieurinor
Diplom-Ingenieur(Dipl.-Ing. or DI), equivalent to the Master of Science (MSc)
Curriculum
I study Information and Computer Engineering because it’s extremely exciting being part of new technological developments right from the beginning.
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
7 January to 30 April 2019
8 July to 30 November 2019
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
Graduates have a variety of career opportunities:
EN: The language of instruction is English.
*NAWI Graz degree programme
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.
To complete a Master's degree in Information and Computer Engineering with a major in the Internet of Things, your degree programme must include:
Total credits: 120 ECTS
You choose three from the following ten areas for a total of at least 40 ECTS to major in the Internet of Things:
You can find more specific information about the content, courses and mentors in each area here: Overview of the subject areas.
Diplom-Ingenieurinor
Diplom-Ingenieur(Dipl.-Ing. or DI), equivalent to the Master of Science (MSc)
Admission to the programme is dependent upon the admission requirements of the Master’s degree programme.
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.
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.
Advanced Testing Techniques
Bernhard AICHERNIG
Ao.Univ.-Prof. Dipl.-Ing. Dr. techn.
aichernig @ist.tugraz.at
Website
Control Theory
Martin HORN
Univ.-Prof. Dipl.-Ing. Dr.techn.
martin.horn
@tugraz.at
Deeply Embedded Systems
Marcel BAUNACH
Univ.-Prof. Dipl.-Inf. Univ. Dr.rer.nat.
baunach @tugraz.at
Website
Formal Verication
Roderick BLOEM
Univ.-Prof. Ph.D.
roderick.bloem @iaik.tugraz.at
Website
IT Security
Stefan MANGARD
Univ.-Prof. Dipl.-Ing. Dr.techn.
stefan.mangard @iaik.tugraz.at
Website
Machine Learning
Franz PERNKOPF
Assoc.Prof. Dipl.-Ing. Dr.mont.
pernkopf
@tugraz.at
Microwave Engineering
Wolfgang BOESCH
Univ.-Prof. Dipl.-Ing. Dr.techn. MBA
wbosch
@tugraz.at
Signal and Information Processing
Gernot KUBIN
Univ.-Prof. Dipl.-Ing. Dr.techn.
gernot.kubin @tugraz.at
Website
Wireless Communications
Klaus WITRISAL
Assoc.Prof. Dipl.-Ing. Dr.
witrisal @tugraz.at
Website
Wireless Networking
Kay RÖMER
Univ.-Prof. Dipl.-Inform. Dr.sc.ETH
roemer @tugraz.at
Website