Letztes Update: 24.05.2019
Bereich: Mathematik 36
Umfang 4 Semester / 120 ECTS
Abschluss: Dipl.-Ing. (Diplom-Ingenieur/in)
Kosten: prinzipiell keine Studiengebühr (außer ÖH-Beitrag)

Passende Bachelor-Studien

Über das Studium:

The Master’s degree programme in Mathematics teaches students advanced and in-depth knowledge and skills in the field of (Applied) Mathematics and Statistics. Specialisations are
possible in the following focus areas:

• Applied Analysis
• Applied Statistics
• Discrete Mathematics

The in-depth specialisation is based on a prior common mathematical foundation across all three areas.


Diesen Fächern begegnest du u.a. im Studienplan:

Algebra, Algebraische Kurven, Algorithmen, Analysis, Angewandte Analysis, Angewandte Mathematik, Angewandte Statistik, Bayessche Statistik, Control Systems, Datenbanktechnologie, Diskrete Mathematik, Dynamische Systeme, Feministische Wissenschaft, Finanzstatistik, Funktionalanalysis, Ganzzahlige Optimierung, Gender Studies, Generalisierte lineare Modelle, Informationstechnik, Knowledge Engineering, Kombinatorik, Kombinatorische Optimierung, Komplexitätstheorie, Kryptologie, Logistics Systems Engineering, Measurement Science and Selected Topics in Sensors and Actuators, Mobile Communications, Nichtlineare Funktionalanalysis, Nonlinear Dynamics, Nonlinear Systems, Numerik, Numerische Dynamik, Partielle Differentialgleichungen, Pervasive Computing, Recommender Systems, Semantic Web, Statistik, Statistische Entscheidungstheorie, Statistische Versuchsplanung, Stochastische Prozesse, Verteilte Systeme, Zahlentheorie


Students can acquire an additional application-oriented qualification by taking the extension subjects Informatics and Information and Communications Engineering. This gives them an introduction to the interdisciplinary cooperation in the field of technical subjects offered at the University of Klagenfurt. The actual range of interdisciplinary opportunities for cooperation upon completion of the Master’s degree in Mathematics is substantially wider, ranging from engineering and natural and life sciences to business and finance.

This education provides students with the in-depth qualifications necessary to be deployed in the finance and insurance sector, in high-tech companies, in the consultancy branch, in the medical and pharmaceutical field, and also in research and post-secondary education. The pronounced practical relevance of the Master’s degree, based on a broad and deep scientific foundation, further enhances our graduates’ career opportunities. The Master‘s degree in Mathematics also prepares students for a doctoral degree in Mathematics or Statistics or, more generally, in technical and natural science subjects.


Practical training represents the core of the Master’s degree programme in Mathematics. There is a pronounced practical relevance thanks to the extension subjects Informatics and Information and Communications Engineering.

The campus in Klagenfurt offers excellent supervision arrangements, small seminar groups and manageable working groups. It is quick and easy to find friends and establish connections here!

The language of instruction is English.


Required Subjects

  • Analysis (10 ECTS)
  • Discrete Mathematics (10 ECTS)
  • Statistics (10 ECTS)

Elective subjects

Specialisation through the choice of one subject (24 ECTS)

  • Applied Analysis
  • Applied Statistics
  • Discrete Mathematics

Specialisation through the choice of one subject (12 ECT)

  • Feminist Science/Gender Studies
  • Informatics
  • Information and Communications Engineering
  • Applied Mathematics

Options (9 ECTS)

Practice (15 ECTS)

Master thesis (24 ECTS)

Examination (3 ECTS)

Total: 120 ECTS


After completing their studies, graduates of the Master’s degree will be able to abstract problems that arise in practice, to subsequently formulate mathematical models, to address this using the techniques they have learned and to discuss the resulting solutions in an interdisciplinary context.

They can analyse, simulate, evaluate, and implement accordingly, using modern symbolic as well as numerical tools. In the academic field, the degree programme conveys a sufficient degree of familiarity with modern mathematical methods, so that current research questions can be appropriately addressed.

Berufsaussichten / Jobs:

The expertise acquired during the course of the degree programme enables graduates to work autonomously in a broad professional field.

They are qualified for work in the following areas:

  • development in technical companies
  • software development
  • IT
  • business mathematics and risk management in the banking and insurance sector
  • data security
  • professional activities in educational institutions
  • environmental technology
  • biomathematics in the clinical and pharmaceutical sphere
  • civil engineering


Bachelorstudium Technische Mathematik oder gleichwertiges Studium an einer anderen postsekundären Bildungseinrichtung

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