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. Computer-based simulations and graphical visualisation are now playing 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 led to a dramatically increased industrial requirement for skilled people in this exciting area. This programme addresses this need by providing a detailed insight into the industrial modelling, numerical software and hardware technologies that are used. It also demonstrates how these technologies can be effectively employed in solving real-world problems.

Students are given the opportunity to specialise within the broad area of applied mathematical modelling and scientific computing. To do so they select suitable combinations of core courses and open options approved by the programme committee and the programme leader. This specialist focus is reflected in a change of programme title. Alternative titles are:

You can view further information by logging on to the programme page online at www.gre.ac.uk/courses/pg/cms.

Content

• Project and Dissertation (60 credits)
• Core Technologies for Applied Modelling (15 credits)
• Seven 15-credit options (105 credits)

Specialist courses available include:

• Business Relevance and Project Methodology
• Computational Fluid Dynamics
• Knowledge Discovery and Data Mining
• Enterprise Software Engineering Development
• Finite Element Analysis and Optimisation
• Principle and Practice of Evacuation Modelling
• Principles and Practice of Fire Modelling
• Reliability and Risk Analysis
• Software Engineering Management
• Software Tools and Techniques

Students may also select from a range of options that are specific to a particular specialism