Master’s Programme Computer Science
You want to advance your theoretical and practical knowledge of computation?
Computer Science is the key to a digitalised world. It is the study of the foundations, techniques and applications used for the automated processing of digital information.
Students enrolled in the Master’s Degree Programme advance their theoretical and practical knowledge of computation in order to engage in research and invent new technologies.
Master of Science
Duration/ECTS-Credits
4 semesters/120 ECTS-Credits
Mode of Study
Full-time
Language
English
Requirements
Relevant bachelor's degree/equivalent
and Language Certificates
Faculty
Faculty of Mathematics, Computer Science and Physics
Level of qualification
Master (Second Cycle)
ISCED-11: Level 7, EQF/NQF: Level 7
ISCED-F
0688 Inter-disciplinary programmes involving communication technologies (ICTs)
Study Code
UC 066 921
FAQ
Students in the Master's Programme learn to
- understand today's digital technologies and develop future ones;
- master the interaction of software and hardware in distributed systems of all sizes;
- optimise the interface between the real world and digital systems;
- apply methods of logic and machine learning in a targeted and responsible manner;
- understand systematic approaches to solving large-scale computational problems;
- contribute to research on new methods
- specialise in a particular area of computer science.
The Master’s Programme in Computer Science enhances and expands the skills and knowledge in the field of Computer Science acquired during the Bachelor’s Programme in Computer Sciences. In particular, the programme imparts skills for independent scientific work, prepares for the doctoral programme and enables the specialisation in a key area or application field in computer science.
In particular, specialisation can be achieved in one of three subject areas:
- Logic and Learning
- Secure and Distributed Computing
- Perception, Interaction and Robotics
The following key competences are taught or deepened in the Master's Programme Computer Science:
- Abstraction, formalisation and critical examination of given problems;
- Ability to systematise approaches to solutions and to solve problems independently and creatively;
- comprehensible presentation and scientific documentation of the solutions developed as well as project management;
- Reflection on the effects of technologies from legal, ethical and social points of view.
A solid scientific education in computer science as well as the application of what has been learned to concrete problems are the focus of the education. The language of instruction is English.
The Master's Programme Computer Science qualifies students for highly qualified and innovative research and development work in the field of systematic and automated information processing. Graduates master problem-solving strategies that make them attractive for many responsible positions in all sectors with a technological connection. The imparted ability for independent scientific work prepares students for jobs in academic or industrial research.
Graduates tracking: Shows which occupational fields students enter after graduation
Curriculum
Studying at the University of Innsbruck
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Why Innsbruck?
10 reasons to study at the University of Innsbruck
Services and support
for students:
- with disabilities
(including temporary disabilities), - mental health conditions and/or
- physical conditions
Physics, Mathematics & Computer Science
Anyone wishing to study physics, mathematics or Computer Science and with an interest in quantum physics, artificial intelligence, data science or robotics will find several suitable degree programmes at the University of Innsbruck.
The University of Innsbruck is a leading international centre for quantum research. Physics is also one of the eight key research areas. In addition, there are the centres of excellence Functional Materials Science, Scientific Computing and the Digital Science Center, which drives forward the digitalisation of research.
Innsbruck is also home to the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences.
The Extension Programme Scientific Computing teaches methods of scientific computing as used on the LEO5 supercomputer.
