Master's Programme Computer Science

As of winter semester 2021/2022 this programme is no longer open to new entrants. For information on the succeeding master’s programme please consult this page »

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
Study Code
UC 066 921
Curriculum Information on the Curriculum (2007W) *
Language of Instruction English
Admission Requirements
Relevant bachelor's degree or equivalent and Laguage Certificates

* Information on the Curriculum (2007W)

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:
  Section: Current Curriculum version.

University Innsbruck Bulletins » (Click to open all University of Innsbruck Bulletins)


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).

First Semester »

  5.0 ECTS-Credits:Formal Language and Automata Theory 
10.0 ECTS-Credits: Elective Module
10.0 ECTS-Credits: Elective Module
  5.0 ECTS-Credits: Specialisation Module

Second Semester »

  5.0 ECTS-Credits: Compiler Construction
  5.0 ECTS-Credits: Master's Seminar
10.0 ECTS-Credits: Elective Module
10.0 ECTS-Credits:Elective Module

Third Semester »

  5.0 ECTS-Credits: Master's Seminar
10.0 ECTS-Credits: Elective Module
15.0 ECTS-Credits:Specialisation Module

Fourth Semester »

27.5 ECTS-Credits: Master’s Thesis
  2.5 ECTS-Credits: Master’s Thesis Defense

Graphic chart »

MA Informatik_Studienverlauf_2017_en

Qualification Profile and Skills

The Master's Programme Computer Science enhances and widens the skills and knowledge in the field of computer science acquired in the Bachelor's Programme Computer Science. The master's programme conveys the ability to independent scientific working, prepares for the Doctor of Philosophy Programme Computer Sciences and enables for the specialisation in a core area or an application area of computer science.

On the basis of the bachelor's programme, the following key competencies will be acquired and enhanced:

  • scientific working and literature research
  • efficient familiarisation with new application areas
  • abstraction, formalisation and critical examination of a given problem
  • autonomous problem analysis, self-dependent and creative problem solving
  • ability to manage interdisciplinary and/or international research and development projects  

The master's programme provides solid and scientific education in computer science while also deepening the application of the learned to specific problems. The teaching language is English. The entwined education enables graduates to

  • develop and apply new methods for hardware-, software- and network solutions in an autonomous manner,
  • lead larger hardware-, software- or network development projects respectively (international) teams and departments and
  •  possess expert knowledge in several areas of computer science and applications. 

Expected Learning Outcomes

Graduates possess highly specialized knowledge in the fields of development and realization of innovative and complex hardware, software or network systems. They are able to apply their knowledge at the intersections of related sciences by independently formulate and substantiate scientific arguments and to find innovative solutions to problems.

Future Prospects: Occupational Profiles and Career Opportunities

The master's programme trains highly qualified experts for local and global companies. Graduates work as project managers, consultants or at middle management level in the fields of economy and science. Overall, graduates of the master's programme are able, after a short introductory period, to actively take part in the development and realization of innovative and complex hardware, software or network systems. Additionally, they are prepared for an activity in academic or industrial research.

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
 Outstanding performance

= 100%


 Generally good, but with some errors
 Generally sound work with a number of substantial errors
 Performance meets the minimum criteria
 Substantial improvement necessary; requirement of further work

Dezember 2021

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)

Recognitions (in German only)

Recognition of exams AND Supplementary Sheet

Contact and Information

Examination Office 
Standort Technikerstraße 17 Piktogramm barrierefreier Zugang 

Associate Dean of Studies
Assoz. Prof. Dr. Cezary Kaliszyk

Dean of Studies
Univ.-Prof. Dr. Thomas Franosch

Information for students with disabilities

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