Master's Programme Computer Science
Faculty | Faculty of Mathematics, Computer Science and Physics |
Duration / ECTS-Credits | 4 semesters / 120 ECTS-Credits |
Academic Degree |
Master of Science (MSc) |
Qualification Level |
Master (Second Cycle) ISCED-11: Level 7, EQF/NQF: Level 7 |
ISCED-F | 0688 Inter-disciplinary Programmes involving ICT's |
Mode of Study |
Full-Time |
Study Code |
UC 066 921 |
Curriculum | Information on the Curriculum (2021W) * |
Language of Instruction | English |
Admission Requirements |
Relevant bachelor's degree or equivalent and Laguage Certificates |
Application |
* Information on the Curriculum (2021W)
The complete version of the curriculum reflects the currently valid version of the curriculum. It is for informational purposes only and is not legally binding. The legally binding version of the curriculum, including any amendments, may be found in the University of Innsbruck Bulletins.
In order to determine which version of the curriculum is applicable in your case, see the Catalogue of Studies,
available at: https://lfuonline.uibk.ac.at/public/lfuonline_meinestudien.studienblatt
Section: Current Curriculum version.
University Innsbruck Bulletins » (Click to open all University of Innsbruck Bulletins)
Requirements
Relevant bachelor's degrees at the University of Innsbruck:
Criteria for the determination of equivalence:
Admission to the master's degree programme may also be possible if a student has completed a bachelor's degree in a relevant related field. As part of the determination of equivalence, the following core areas of the completed bachelor's degree programme will be assessed:
- 25 ECTS-Credits Core Area: Programming Languages and Software Engineering
- 25 ECTS-Credits Core Area: Theoretical Computer Science and Mathematics
- 25 ECTS-Credits Core Area: System Architecture
- 25 ECTS-Credits Core Area: Applied Computer Science
- 20 ECTS-Credits Core Area: Specialisation
In the event that equivalence has been established in principle but with certain qualifications missing for full equivalence, supplemental examinations may be required. These examinations must be completed during the master degree programme.
Recommended Course Sequence
The exemplary course sequence given below is recommended for full-time students beginning their study programme in the winter semester. The table shows one possible course sequence for the master's programme and is not compulsory. Delays resulting from repeated examinations are not taken into account.
The standard duration of the study programme is 4 semesters or 120 ECTS-Credits, whereby according to the Universities Act of 2002, a workload of 1,500 (real) hours per academic year must be fulfilled, corresponding to 60 ECTS-Credits (one ECTS-Credit is equivalent to a workload of 25 hours).
7.5 ECTS-Credits: Current Topics in Computer Science
7.5 ECTS-Credits: Elective Module out of EM 1-6
7.5 ECTS-Credits: Elective Module out of EM 1-6
7.5 ECTS-Credits: Elective Module out of EM 1-6
20.0 ECTS-Credits: In-depth studies / Specialisation (EM 7-18)
10.0 ECTS-Credits: Individual Choice of Specialisation
10.0 ECTS-Credits: In-depth studies / Specialisation (EM 7-18)
10.0 ECTS-Credits: Interdisciplinary Skills
10.0 ECTS-Credits: Individual Choice of Specialisation
2.5 ECTS-Credits: Preparation of the Master's Thesis
25.0 ECTS-Credits: Master's Thesis
2.5 ECTS-Credits: Master's Thesis Defence
- Logic and Learning
- Secure and Distributed Computing
- Perception, Interaction and Robotics
Qualification Profile and Skills
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.
Expected Learning Outcomes
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.
Future Prospects: Occupational Profiles and Career Opportunities
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.
Minor
As part of the Master’s Programme, a Minor of 30 ECTS-Credits can be completed instead of the elective module Interdisciplinary Skills and Individual Choice of Specialisation.
More information and a list of possible Minors can be found at:
Postgraduate and further Studies at the University of Innsbruck
Information about examination regulations, assessment and grading
Examination regulations
The examination regulation is an integral part of the curriculum, detailed information can be found under the paragraph examination regulations.
Description of the applied grading system (including the grade distribution table) »
The grade distribution table is a statistical representation of the distribution of all successfully completed examinations in a given programme of study or subject (based on all registered students for the programme or subject). The grade distribution table is updated in regular intervals.
Austrian grading scheme |
Definition |
%-age |
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1 | EXCELLENT: Outstanding performance |
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= 100% | |
2 |
GOOD: Generally good, but with some errors |
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3 | SATISFACTORY: Generally sound work with a number of substantial errors |
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4 | SUFFICIENT: Performance meets the minimum criteria |
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5 | INSUFFICIENT: Substantial improvement necessary; requirement of further work |
in process
Overall classification of the qualification
Not applicable
Explanation: An overall classification (mit Auszeichnung bestanden/pass with distinction, bestanden/pass, nicht bestanden/fail) – is awarded only for examinations that conclude a programme of study and consist of more than one subject (an examination of this type is not specified in the curriculum of this programme of study).
Information about the Programme (in German only)
Forms (in German only)
- Application for the Master's Thesis
- Assessment of the compulsory module: Preparation of the Master’s Thesis
- Submission of the Master's Thesis
- To block the Master's Thesis
- Examination Records
- Declaration of Academic Honesty
- Application for Admission to the third and fourth repetition of a course examination
Recognitions (in German only)
Recognition of exams AND Supplementary Sheet
Contact and Information
Examination Office
Standort Technikerstraße 17
Associate Dean of Studies
Dipl.-Ing. Dr. Peter Thoman, Bakk.
https://www.uibk.ac.at/informatik/studium/master
Dean of Studies
Univ.-Prof. Dr. Thomas Franosch
Information for students with disabilities