The course will be run by the Department of Mathematics and Statistics in association with MACSI.
This course will provide training in applied mathematics techniques and will focus on mathematical models of real world processes, their formulation in terms of differential equations and methods of solution - both numerical and analytical. Central to the course will be practical problems that arise in industry, commerce, engineering and medicine, as well as in the environmental and life sciences. In particular, students will gain hands-on experience with current MACSI projects in collaboration with industry.
The course has been designed by Stokes Professor of Industrial and Applied Mathematics Andrew Fowler (who has experience teaching a similar programme at the University of Oxford). The first two semesters will be examined on coursework from both a mandatory core and a suite of optional courses from which the student can choose. The coursework will be followed by the preparation of a dissertation over the summer months under close supervision. The dissertation will be at research level, and will focus on a problem that arises through MACSI's connections with industry, although there is some flexibility in the choice of dissertation. A break down of the course structure can found here.
Part time option available.
Mathematical modelling of polysilicon fuses, in collaboration with Analog Devices, is one of the current research projects at MACSI. Please see here for more details.
High resolution forecasts for wind energy applications, in collaboration with Met Éireann, are currently being investigated. Please see here for more details.
Research in MACSI and the Department of Mathematics and Statistics focuses on applied mathematics. In particular, there is strong interest in numerical analysis, fluid mechanics, industrial applied mathematics, geoscience, imaging science and inverse problems, commerce and the life sciences.
The minimum entry requirement is a 2:2 undergraduate degree (or equivalent) in mathematics, or any related numerate discipline.
Application Forms and Deadlines
To apply for the MSc please visit http://www.ul.ie/graduateschool/course/mathematical-modelling-msc and follow the links Graduate Programmes/Taught Programmes/Science and Engineering/Mathematical Modelling MSc. You will find a list of the required documents and instructions on how to submit these online.
If you would like more information, please contact Dr. Romina Gaburro.
Dr. Romina Gaburro
Lecturer in Applied Mathematics
Department of Mathematics and Statistics
University of Limerick
Tel: +353 61 213193
Fax: +353 61 334927
We are always pleased to talk to prospective graduate students and answer any queries.
Please see a list of our Alumni