Programme Specification for 2012/13
MSc Applied Mathematical Modelling and Scientific Computing
Mathematical Modelling, applied to industrial applications, is a rapidly growing discipline that brings together the power of computers and the physical sciences.
In particular, computer-based simulations and graphical visualisation now play a key role in industrial mathematical modelling, scientific investigations and engineering design.
This interdisciplinary area uses the technology of the computer to analyse problems that would be too expensive, dangerous, or even impossible, to study by direct experimentation alone and virtual prototyping, using modelling and software technologies, is now a key process in reducing the overall cost of designing and manufacturing new products.
The growth in the number of organisations developing and accessing these technologies has lead to a dramatic increase in the requirement for skilled people in this exciting field.
This suite of programmes also allows the flexibility to specialise in various fields in the broad area of Applied Mathematical Modelling and Scientific Computing. Suitable combinations of core courses and open options, approved by the programme committee and the programme leader, can lead to MScs in different specialisations which highlight the emphases of the programmes of studies. Alternative possible titles are:
- MSc Applied Mathematical Modelling & Scientific Computing
- MSc Applied Industrial Modelling
- MSc Computational Mechanics, Reliability & Risk Analysis
- MSc Computer Applications and Engineering
- MSc Scientific Computing
- MSc Scientific & Engineering Software
Finally, note that although this suite of programmes is in the Computer Systems Technology department for operational reasons, all of the courses are informed and driven by the leading-edge applied maths research that takes place in the school.
Typical content
The following is an indication of current programme content.
However, the rapidly changing nature of the subject area means that both the courses offered, and individual course content, are likely to change in future years.
Finally note that certain combinations of options may not be available.
For details of timetabling and study patterns, see the timetables page. Masters students take 120 credits of taught courses and undertake a 60-credit project. All courses are 15 credits unless otherwise stated.
Core courses:
- Project and dissertation - A substantial individual project on a topic chosen by the student (60 credits)
- Core Technologies for Applied Modelling
- AMMSc Induction Programme
Specialised core courses (dependent on the programme title chosen):
- Business Relevance & Project Methodologies
- Computational Fluid Dynamics
- Data Mining & KDD
- Enterprise Software Engineering Development
- Finite Element Analysis & Optimisation
- Principles & Practice of Evacuation Modelling
- Principles & Practice of Fire Modelling
- Reliability & Risk Analysis in Designs
- Software Engineering Management
- Software Tools & Techniques
- Open options: Acoustics & Wave Propagation, Advanced Finite Element Analysis & Optimisation, Advanced Topics in Computational Fluid Dynamics, Discrete Element Modelling, Electromagnetics with MATLAB, Financial Modelling, Indoor Air Quality & Ventilation, Modelling in the Microsystems Industry, Multi-physics modelling for process industry, Qualitative Fire Risk Assessment & Modelling, Principles & Practice of Structural Fire Engineering, International Standards & Codes, Probability & Statistics, Advanced Algorithms, Financial Modelling & Analysis, Industrial Applied Mathematics, Mathematics of Image Processing, Actuarial Mathematics, Numerical Methods & Software for Partial Differential Equations, 3D Computer Graphics, Artificial Intelligence, High Performance Systems Engineering
Specifics
Entry requirements
A good first degree in engineering, physics, mathematics or relevant related discipline. Those who have substantial commercial or industrial experience but lack formal qualifications should seek an interview with the programme leader.
See the School entry requirements for more details.
Career opportunities
Upon successful completion of one of these master's programme students will be equipped with the skills required to understand, and use, computational science and engineering software technologies in industry.
Location
This master's programme is based in the Department of Smart Systems Technologies, School of Computing & Mathematical Sciences, Greenwich Campus, Old Royal Naval College, Greenwich, London SE10 9LS.
Study mode
1 year full-time (all programmes) / 2 years part-time (all programmes except MSc Computer Applications & Engineering and MSc Scientific & Engineering Software)
September or January start
JACS codes
MSc Applied Industrial Modelling - G100
MSc Applied Mathematical Modelling and Scientific Computing - G100
MSc Computational Mechanics, Reliability and Risk Analysis - G100
MSc Computer Applications and Engineering - G100
MSc Scientific and Engineering Software - G100
MSc Scientific Computing - G100