MSc in Computational Science and Complex Systems (MCSCS)

This Course will not be offered to new students in 2012/2013

Programme Introduction

Chair of Programme: Dr. Liam Tuohey
For all queries, please contact the Marketing Officer at marketing@computing.dcu.ie

Malthusian Population growth model




where P0 = Initial Population, r = growth rate, t = time		 This programme provides students with the essential cross-disciplinary skills that are needed to apply the increasingly important and rapidly growing fields of Computational Science and Complex Systems to real-world problems. Reflecting the multi-disciplinary reality of modern research and development, it is a feature of the programme that students may come from a broad range of primary disciplines (Computer Applications, Computer Science, Physical and other Sciences, Economics, Mathematics, Engineering, etc).
The Masters degree is the centre-piece, but there is also provision for Graduate Diploma (taught modules only) and Graduate Certificate (Semester one modules only) qualifications. Subject to certain conditions, students may transfer between certificate, diploma and masters courses. It is also possible to take modules individually. With excellent employment prospects, and major fee support for E.U. students, this new course will be well suited to those who wish to extend their existing qualifications and skill sets with a major Computational Science component.

Neighbour-Sensing model of the fungal morphogenesis

The model was suggested by Audrius Meskauskas and David Moore in 2004 and proven using the supercomputing facilities of University of Manchester.

Broad Employment Prospects

The increasing importance of Computational Science and particularly the need for multi-disciplinary teams, is very well recognised internationally. However, it is equally well known that there is a great shortage of well-trained people to be part of such teams and it is this gap that graduates of the programme can fill. In Ireland, it is expected that graduates will be employed as analysts, researchers, consultants, simulation specialists, and similar roles in such sectors as:

  • Pharmaceutical & Biopharmaceutical
  • Health & Medicine
  • High Tech Engineering
  • Scientific Software Development
  • Finance & Economics
  • Transport
  • Environmental Technology & Services

The set of cross-disciplinary computational and modelling skills provided by the programme will complement individuals' primary qualifications, and will enhance significantly their career prospects in academic research or in industry.