This 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.
IELTS: 6.5 TOEFL: 90
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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 may focus on a problem that arises through MACSI’s connections with industry. The MSc can also be taken part time over a 2 or 3 year period, after consultation with the Course Director. 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. Practical problems will be drawn from the industrial, commercial, medical, environmental and life science domains.
3 elective modules to be chosen from:
2 elective modules to be chosen from:
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.
These are based on Residency, Citizenship, Course requirements.
Review the three groups of criteria to determine your fee status as follows
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).
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