FindA University Ltd Featured Masters Courses
FindA University Ltd Featured Masters Courses
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FindA University Ltd Featured Masters Courses
  • Study Type

    Full time available

  • Subject Areas


  • Start Date

    See Course

  • Course Duration

    See website for details.

  • Course Type


Course content

Data encryption, risk management in finance and insurance and mathematical imaging – mathematicians use analytic and computer-assisted techniques to understand the increasing complexity in natural sciences, life sciences, economics and engineering.

Josef Strini, master's degree student in Mathematics:

"Whether we’re solving sample exercises or discussing the most recent lectures, there are always possibilities for exchanging information with the students and lecturers in my programme. I recommend my programme to all those who are interested in mathematical relationships, are prepared to critically examine these and have the drive and patience to ensure their accuracy."


In compulsory and advanced courses, you develop mathematical knowledge in the following areas:

  • Analysis
  • Algebra
  • Stochastics
  • Numerical mathematics
  • Discrete mathematics

You choose from one of the following specialisations:

  • Applied mathematics
  • Discrete mathematics
  • Financial and actuarial mathematics
  • Statistics and operations research
  • Mathematical engineering

For the individual courses, please see the semester plan.

Career Options

Mathematicians work in areas such as industry, commerce and science.

  • They apply mathematical methods in industry, technology and the natural sciences.
  • They use deterministic and stochastic models in commerce, administration, finance and insurance.
  • They tackle questions of data security and communication technology in theory and practice.
  • They develop methods without which many devices and technologies of modern day life would not exist - for example, imaging processes in medicine and technology, communication and security in data transfer, risk management for banks and insurance companies, and computer-aided processes in natural sciences and technology.




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Recipient: Graz University of Technology

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