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ACM Career Options


Mathematical modeling and computation have become an integral part of almost all area of academic research as well as industrial research and development. In many cases, the required modeling task are not readily standardizable. They require solid understanding and creative thinking in one or more of the following aspects:
  • Development and validation of the underlying mathematical models,
  • development of new numerical solution procedures,
  • appropriate choice of known numerical solution procedures,
  • implementation of simulation software,
  • validation of simulation software,
  • determining appropriate simulation parameters from external data sources,
  • visualization and postprocessing of simulation data,
  • correct and critical interpretation of results.
It is important to point out that, while many of these tasks involve software engineering, they require skills that are not typically found in a software engineer.

Mathematical modeling and computation is a field which is currently growing by, according to industry estimates, on the order of 10% per year for the foreseeable future. For these reasons, the market for qualified mathematicians, scientists, and engineers is essentially empty; job prospects for well-trained graduates are excellent.

The role of Bachelor graduates

Most real-world computational science and engineering projects, whether in industry or academia, are carried out by multi-disciplinary teams which comprise specialists for certain very specific tasks as well as communicators and integrators.

The ACM program at the Bachelor level provides graduates with a dual skill-set:

  • Our graduates have a solid background in mathematics and science which enables them to become specialists, either by attending focused Masters programs or via in-house or on-the-job training.
  • At the same time they grew up speaking more than one "language" and are well prepared for a communicator role.
Thus, the typical career path in this field involves obtaining at least a Masters degree, though a direct entrance into the workforce is not impossible.

Academic career paths

Graduate study and research in
  • Applied Mathematics,
  • Computational Engineering,
  • Quantitative Finance.
Moreover, provided the elective courses and/or the focus area are strategically chosen, also graduate programs in
  • Mathematics,
  • Computer Science,
  • or related to focus area, e.g. Physics, Electrical Engineering, Computational Biology and Medicine, Geosciences, etc.

Professional career paths

Typically with specialized Masters degree:
  • Engineering firms (automotive, aerospace, civil engineering, geological, ...)
  • Computer Aided Design, Animation (nowadays the underlying models often based on real physics)
  • Quantitative Finance, Insurance
  • Pharmaceutical and Medical Technology (computational drug design, medical imaging, ...)
With or without a Masters degree:
  • Consulting
  • General IT


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