Mathematical Modelling

Key programme benefits to future students

MSc graduates will have gained analytical and computational skills that will uniquely position them in an ever growing market demanding mathematical and statistical skills.



A fundamental part of the course is the research thesis, which, together with the in-course modules, will provide the MSc graduate with fundamental techniques in applied mathematics and statistics suitable for a career’s path in both industry and academia.



The MSc offers a pathway into PhD programmes within the department.

Autumn Modules

• Advanced Methods I

• Scientific Computation



Elective Modules (choose three)

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 Fluid Mechanics.



Spring Modules

• Advanced Methods II

• Mathematical Geoscience

• Mathematical Biology and Physiology



Elective Modules (choose two)

Dynamical Systems | Mathematical Modelling | Stochastic Differential Equations for Finance | Mathematical & Statistical Models of Investment | Time Series Analysis | Optimisation | Advanced Data Modelling | Networks and Complex Systems



Summer Modules

• Project: The project should be submitted by mid-September. 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.

1 year full-time, on-campus.

Autumn

Graduate 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).