Last edit: 19/01/2015
Approved: 19/01/2015

The main objective of this program is to educate skilled applied mathematicians, well prepared for advanced industrial positions or continued graduate studies.

Knowledge and understanding

A Master  of Science in Applied  and Computational Mathematics will:

  • have a broad knowledge in applied mathematics  as well as a significantly deepened knowledge within the chosen area of specialization, including techniques of mathematical mo- delling, analysis of mathematical models, and simulation,
  • be able to, in an independent manner, apply mathematical theories, methods and models,
  • be able to formulate and approach new problem settings in a scientific manner, by having a creative, critical and systematic attitude towards applied mathematics.

Skills and abilities

A Master  of Science in Applied  and Computational Mathematics will be able to:

  • formulate mathematical models, choose suitable methods to investigate those models including the efficient use of computer tools,
  • analyze different mathematical models within science and technology and work creatively, systematically and critically,
  • work out solution strategies to important classes of mathematical problems, knowing the capabilities and limitations of different methods and tools,
  • work efficiently in a teamwork environment,
  • communicate results and conclusions in a competent and intelligible manner, both orally and in writing, with management, experts, and society at large,
  • follow and participate in research and development related to the chosen specialization.

Ability to make judgments and adopt a standpoint

A Master of Science in Applied  and Computational Mathematics will be able to:

  • critically  judge validity and limitations  of the results obtained from different  types  of mathematical models,
  • identify  the need for further knowledge in the field and take  initiatives  to keeping the personal knowledge up to date.