MSc in Mathematical Modelling

Introduction
The course will provide training in techniques of applied mathematics, and will focus largely on mathematical models of real world processes, their formulation in terms of differential equations, and methods of solutions, both numerical and analytical, of the models. A focus of the course will be an emphasis on practical problems which arise in industry, commerce, medicine, as well as the environmental and life sciences. In particular, there will be a close alliance between the course and research problems in industrial applied mathematics, which is a principal research strand underpinning MACSI research. 

Objectives
To provide a first year of intensive taught courses as part of a structured graduate programme for MACSI postgraduates and to enable graduates of engineering and other disciplines to redirect their training towards mathematical modelling.

Semester 1
Core modules: Advanced Methods I; Scientific Computation. 3 elective modules to be chosen from: Fundamentals of Continuum Mechanics; Applied Analysis; Mathematics of Natural Phenomena; Perturbation Techniques and Asymptotics; Numerical Partial Differential Equations; Fundamentals of Financial Mathematics; Operations Research 2; Advanced Data Analysis; Stochastic Processes; Statistical Inference; Introduction to Applied Mathematical Modelling in Continuum Mechanics.

Semester 2
Core modules:  Advanced Methods II; Mathematical Geoscience; Mathematical Biology and Physiology. 2 elective modules to be chosen from: Dynamical Systems; Mathematical Modelling; Stochastic Differential Equations for Finance; Theory of Statistical Finance; Time Series Analysis; Optimisation; Advanced Data Modelling.

Summer (May-August)
Project (submission by mid-September) under close supervision. The dissertation will be at research level, and often (though not inevitably) be on a problem which arises through MACSI's connections with industry.

Careers
Financial services including accounting, international banking, lending analysis and investment analysis; information and communication technologies; engineering industries (e.g. environmental, electronics, aerospace and automobile); scientific research (e.g. medical, social, economic, engineering, computing, industrial, fisheries, biological and mathematical); data analysis including market research and demographics; manufacturing (including production planning and quality control), research and development, especially in the pharmaceutical and biotechnology industries; mathematics education (teaching and lecturing).

Entrance Requirements
The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in mathematics, or any related numerate discipline. In addition, a number of scholarships will be available to suitably qualified candidates. Preference may be given to early applicants.

Contact
Director for Postgraduate Studies in Mathematics, Dr. Romina Gaburro
tel. 061-213193,
fax. 061-334927
email: romina.gaburro@ul.ie

For further information please visit www.maths.ul.ie or www.macsi.ul.ie.