Introduction

The Computational Science and Engineering MSc course has been replaced by the above titled Masters programme since September 2006. The new titled programme provides further flexibility for students to choose their mix of options and research - see below. Information on the old Computational Science and Engineering MSc course can be found here.

Simulation of airflow around the Harrier jump jet hovering close to the ground using the CFD code PHOENICS (courtesy of CHAM Ltd)

Partitioned mesh of an automobile

Mathematical Modelling, applied to industrial applications is a rapidly growing discipline that brings together the power of computers and the physical sciences. 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. 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 area.

About this programme

This Masters programme is aimed at training and equipping Honours graduates in engineering, science or mathematics and suitably qualified professionals, with the skills required to understand, and use, Applied Mathematical Modelling and Scientific Computing technologies in industry. Emphasis will be placed on modelling phenomena governed by the physics of fluid flow, heat transfer, electromagnetics and solid mechanics. A core philosophy of the programme is to introduce the students to the concept of multi-physics modelling, where interactions between the governing physics, and hence the relevant solution and software technologies, are important.

The objectives are to give students broad coverage of the technological and scientific subjects required to underpin careers in a range of technical fields involving science subjects, providing in-depth study and training encompassing the principles and state-of-the-art techniques in the chosen specialist areas. The course also aims to equip students with research and development skills through the project which will have industrial and/or academic significance.

This MSc programme addresses this need by providing a detailed insight into industrial modelling, numerical software, and hardware technologies used. The programme also demonstrates how these technologies can be used effectively in solving real-world problems.

On the other hand the above title become generic which may not necessarily highlights the emphases of certain combinations of courses leading to specialisation in various fields in the broad area of Applied Mathematical Modelling and Scientific Computing. The programme now offers flexibility as indicated below.

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.

Typical content

The following is an indication of current programme content which consists of a mixture of core and option modules. However, the rapidly changing nature of the subject area means that both the course options offered, and individual module content, may vary in future years. Finally note that certain combinations of options may not be available.

Core courses (75 Credits)

• Masters Project (60 Credits) - a substantial individual dissertation in a research topic of your own choice
• Core Technologies for Applied Mathematical Modelling (15 Credits)
• AMMSC Induction Programme (0 Credit)

Simulation showing the stress in a spanner.

A choice of seven courses from Specialised Core Courses and Open Options (105 Credits)

• Business Relevance and Project Methodologies
• Computational Fluid Dynamics
• Data Mining and KDD
• Enterprise Software Engineering
• Finite Element Analysis and Optimisation
• Reliability and Risk Analysis
• Software Engineering Management
• Software Tools and Techniques
• Open Options (many modules available, e.g. Acoustics and Wave Propagation; Advanced Finite Element Analysis and Optimisation; Advanced Topics in Computational Fluid Dynamics; Discrete Element Modelling; Electromagnetics with MATLAB; Financial Modelling and Analysis; Indoor Air Quality and Ventilation; Modelling in the Microsystems Industry; Multi-physics Modelling for the Processing Industry; Advanced Algorithms; Industrial Applied Mathematics; Mathematics of Image Processing; Acturial Mathematics; Numerical Methods for Partial Differential Equations; 3D Graphics; Artificial Intelligence; High Performance Systems Engineering; High Performance Distributed Memory Systems.)

Programme Titles Offered from January 2010.

Suitable combination of specialised core courses and open options, approved by the programme committee and the programme leader, will lead to MSc in different titles which highlight the emphases of the programmes of studies. These MSc titles are list below:

MSc Applied and Industrial Modelling
MSc Computational Mechanics, Reliability and Risk Analysis;
MSc Scientific and Engineering Software;
MSc Scientific Computing;
MSc Computer Applications and 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.

Students at the Graduation Ceremony

Outcome

Upon successful completion of this Master's programme students will be equipped with skills required to understand, use, and develop, Computational Modelling software technologies in industry.

The Old Royal Naval College

Location

This master's programme is based in the Department of Mathematical Sciences, School of Computing & Mathematical Sciences, Maritime Greenwich Campus, Old Royal Naval College, Greenwich, London SE10 9LS.

Study mode

1 year full time / 2 years part time

January 2011 entrants: Deadline for receiving applications 30/11/2010 (for overseas applicants) and 15/12/2010 (for home applicants).

September 2011 entrants: Currently closed for September entrance.

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