Computer Science (Master)
Source: https://studieren.univie.ac.at/en/degree-programmes/master-programmes/computer-science-master/ Parent: https://studieren.univie.ac.at/en/degree-programmes/degree-programmes-in-foreign-languages/
© Universität Wien / Barbara Mair
The master’s programme in Computer Science provides students with an academic education, encompassing theory, specialised knowledge and practical knowledge in the area of computer science. Students specialise in several of the following eight subject areas: algorithms, data analysis, computer graphics, information management and systems, internet computing and software technology, multimedia, networks as well as parallel computing. By selecting a broad choice from these subject areas, graduates are highly flexible and prepared for future employment in a wide range of occupational fields, with the objective of working in leading positions. Students have the opportunity to focus on three or four subject areas, enabling them to graduate in one of the specialisation subjects Computer Science, Data Science or Scientific Computing. The language of instruction of the master's programme in Computer Science is English only. Students must have English language skills corresponding to level B2 (Common European Framework of Reference for Languages).
Master of Science
Degree Programme Code: 066 921
4 semesters / 120 ECTS credits
Language: English
Facts & Figures
- Students: n.a.
- Graduates in the last academic year: n.a.
- Number of semesters needed for graduation (median): n.a.
Data updated on: 26.11.2025
Information about presentation & calculation
Admission Procedure
Information about the selection procedure
Information on the required Description of qualifications
Information on Previous Studies:
Degree programmes at the University of Vienna exempt from the selection procedure:
- Computer Science (Bachelor)
- Business Informatics (Bachelor)
- Master Access Guide
Getting started
Orientation in the first semester
Advanced course
The choice of the advanced course and the compilation of the elective courses must be approved by the Directorate of Studies (SPL / “Studienprogrammleitung”) before the start of the studies. Otherwise registration for courses are not possible.
Getting Informed
StudiesServiceCenter (SSC) Computer Science
Students' Representatives Computer Science
Study Programme
Structure of the degree programme: Group of compulsory modules: Foundations; Group of compulsory modules: Practical Courses; Compulsory module: Academic Research and Writing; Alternative groups of compulsory modules: Specialisation Subjects: a. Specialisation Subject: Scientific Computing; b. Specialisation Subject: Data Science; c. Specialisation Subject: Computer Science. Students select courses totalling 36 ECTS credits from the clusters, depending on what is on offer, whereby exactly 6 clusters, each worth 6 ECTS credits, must be covered and a maximum of 4 gatekeeper courses may be taken: Algorithms – Data Analysis – Parallel Computing – Internet Computing and Software Technology – Computer Graphics – Multimedia – Networks – and Information Management and Systems Engineering. Furthermore, they have to complete the master’s module, which includes writing a master’s thesis and passing a master’s examination. The Directorate of Studies has to approve the selected specialisation subject and the modules selected from the groups of modules in advance.
Five Concepts
which you will deal with during your studies:
- Advanced software engineering
- Parallel computing
- Data analysis
- Computer graphics
- Information management
...and many more.
Overview of the programme structure & topics
Here you find the current offer of courses for this programme to gain better insight into the topics and structure. For more information please click on the respective level.
PAP Parallel Architectures and Programming Models (6 ECTS)
ASE Advanced Software Engineering (6 ECTS)
P1 Practical Course: 1 (6 ECTS)
P2 Practical Course: 2 (12 ECTS)
Academic Research and Writing (6 ECTS)
MSE Wissenschaftliches Arbeiten (6 ECTS)
Specialisation Subject (54 ECTS)
Specialisation Subject: Scientific Computing (54 ECTS)
SC1a Parallel Computing (6 ECTS)
SC1b Parallel Computing Vertiefung (18 ECTS)
Specialisation Subject: Data Science (54 ECTS)
DS1b Advanced Data Analysis (18 ECTS)
DS3 Parallel Computing (6 ECTS)
DS4 Application Subject: Data Science (12 ECTS)
Specialisation Subject: Computer Science (54 ECTS)
CS1 Computer Science: The Broad Perspective (36 ECTS)
Information Management & Systems Engineering
Internet Computing & Software Technologies
CS2 Computer Science: The In-Depth Perspective (18 ECTS)
Information Management & Systems Engineering
Internet Computing & Software Technologies
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After Graduation
Graduates can pursue a career in the following occupational fields:
- software development
- network administration
- hardware development
- project management in IT projects
- marketing or sales activities in IT companies
- management consulting in the IT area
- coaching in computer science
- research at universities or research institutions.
Continuing after Graduation
- [Center for Doctoral Studies - everything about doctorcal/PhD programmes at the University of Vienna](http://doktorat.univie.ac.at/en/)
- Alumni of the University of Vienna
- [Postgraduate Center - postgraduate programmes at the University of Vienna](http://www.postgraduatecenter.at/en)
- Uniport - career service of the University of Vienna
Graduates' Perspective on the Degree Programme
#### Degree programme in retrospect
Graduates ...
- say that this degree programme receives the grade: 2.1 (good)
- rate the level of difficulty as: 3.8 (high)
→ These results are based on feedback from 14 graduates.
*You can find further assessments of the degree programme from its graduates’ perspective in the graduate survey of themaster's programme in Computer Science (in German).
Graduates ...
- find employment immediately after graduation on average.
*You can find further information on career entry and career paths in the tracking of graduates "MA Computer Science".