Admission to master programme Computational Science

The prerequisite for admission to a master programme is the completion of an eligible Bachelor or diploma programme (= in the same discipline). Here you will find information on the prerequisites required for admission. If your previous degree programme is considered as a eligible degree programme will be evaluated on a case-by-case basis. 

Our advice: Thoroughly acquaint yourself about the prerequisites for admission to your chosen master programme at an early stage. Thereby, you have the possibility to fulfil prerequisites during the course of your previous studies, for example by completing specific extension curricula ("Erweiterungscurricula" - EC).

If your degree programme is not listed as example in the Master Access Guide, your application will be checked individually to determine if an admission to the master programme is possible.

Qualitative admission requirements

Please note the qualitative admission requirements listed below.


Master programme Computational Science: Previous degree programmes

Qualitative admission requirements

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  • Qualitative admission requirements

    All applicants have to prove the following knowledge, skills and competencies of 30 ECTS in total as qualitative admission requirements.

    • knowledge of Computer Science in the following areas corresponding to at least 10 ECTS in total
      (all subject areas have to be covered)
      • Basics of programming and knowledge of a high-level programming language (basic knowledge of algorithms and programming of computers, basics of imperative programming)
      • Object-oriented programming (functions, classes, inheritance)
      • Database systems (basics of logical data organisation and physical data organisation, database languages - focus on SQL, integrity and security, conceptual modeling, query processing and optimisation, programming with database systems)
      • Algorithms and data structures (basic data structures, searching and sorting methods and basic graph and optimisation algorithms)
    • knowledge of Mathematics in the following areas corresponding to at least 10 ECTS in total
      (all subject areas have to be covered)
      • Basics of mathematics (set theory, logic, functions, real and complex numbers, groups and bodies, elementary combinatorics)
      • Linear algebra (matrix and vector calculus, inverting matrices, solving linear equations, defining determinants, eigenvalues and eigenvectors, linear optimisation, inner products, projections, orthonormal bases)
      • Analysis (sequences and series, differential and integral calculus in multiple variables, Taylor series and Taylor expansion, linear ordinary differential equations)
    • knowledge of Natural Sciences in one or several areas corresponding to at least 10 ECTS in total
      • Basics of astronomy and astrophysics (characteristics of astrophysical objects and central astrophysical processes) 
      • Basics of biology (biochemistry; bioinformatics: sequence alignments and data base search, reconstruction pf phylogenetic trees, prediction of the structure and function of proteins, molecular networks; mechanisms of molecular evolution; genetic and functional diversity of microorganisms; function of microorganisms, plants or animals in ecosystems, cell-biology)
      • Basics of chemistry (chemical structural formulas, functional groups and their reactivity, reaction mechanisms, thermodynamics, kinetics)
      • Basics of meteorology (radiation, fluid dynamics and thermodynamics of the atmosphere)
      • Basics of pharmacy (chemical basics of therapeutically relevant pharmacological substance classes, structure-activity relationships, methods of computer-assisted pharmacological drug development, pharmodynamics, pharmokinetics, risk assessment)
      • Basics of physics (classical mechanics, oscillation and waves, electricity and magnetism, continuum mechanics: elasticity and hydrodynamics, thermodynamics and statistical mechanics, quantum mechanics)

    The qualitative admission requirements may be fulfilled in combination with the extension curriculum in "Fundamentals for Computational Science", depending on the previous degree programme.

    If unable to prove the knowledge by completing extension curriculum, applicants have to provide a description of qualifications.Therein achievements that were made before the application to admission which correspond to the required examinations in the extension curricula have to be presented. On the basis of this description of qualifications the competent body responsible for study matters will review if the qualitative admission requirements are fulfilled.

    You can find detailed information regarding the qualitative admission requirements in the curriculum (only available in German).

1. Completion of a degree programme at the University of Vienna

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  • Astronomy (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Biology (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Chemistry (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Computer Science (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Mathematics (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Meteorology (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Pharmacy (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Physics (bachelor) in combination with the completion of the extension curriculum Grundlagen für Computational Science

    Admission without supplementary examinations.

  • Other degree programmes at the University of Vienna (bachelor) in combination with the completion of qualitative admission requirements

    Has to be examined on an individual basis.

2. Completion of a degree programme at another university or institution of higher education in Austria

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  • Completion of a degree programme at another university or institution of higher education in Austria in combination with the completion of qualitative admission requirements

    Has to be examined on an individual basis.

3. Completion of a degree programme from an EU/EEA country or Switzerland

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  • Completion of a degree programme from an EU/EEA country or Switzerland in combination with the completion of qualitative admission requirements

    Has to be examined on an individual basis.

4. Completion of a degree programme from a non-EU/EEA country

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  • Completion of a degree programme from a non-EU/EEA country in combination with the completion of qualitative admission requirements

    Has to be examined on an individual basis.