This MSc provides training in techniques of applied mathematics, and focuses mainly 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. The main emphasis of the course is on practical problems which arise in industry, commerce, medicine, and in the environmental and life sciences.
This course focuses on the techniques of applied mathematics and on mathematical models of real-world processes.
•Advanced Methods I
3 elective modules to be chosen from:
•Fundamentals of Continuum Mechanics
•Mathematics of Natural Phenomena
•Perturbation Techniques and Asymptotics
•Numerical Partial Differential Equations
•Fundamentals of Financial Mathematics
•Operations Research 2
•Advanced Data Analysis
•Introduction to Fluid Mechanics
•Advanced Methods II
•Mathematical Biology and Physiology.
2 elective modules to be chosen from:
•Stochastic Differential Equations for Finance
•Mathematical & Statistical Models of Investment
•Time Series Analysis
•Advanced Data Modelling.
•Networks and Complex Systems
*The project should be submitted by August. The dissertation will be at research level, and often (though not inevitably) be on a problem which arises through MACSI's connections with industry.
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.
WHAT TO INCLUDE WITH YOUR APPLICATION:
Qualification transcripts and certificates
A copy of your birth certificate (long document)
If your qualifications have been obtained in a country where English is an official language this will suffice
If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
• English language competency certificate
1 Year, Full Time or 2 Years, Part Time
Start Date: 09/Sep/2019
Post Course Info
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).