Mathematical Modelling MSc From University of Limerick

Program Overview

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.

Programme Aims:
 

  • 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.
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  Location

LimerickIreland

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  Course Duration

12 Months

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  Tuition Fee

 16,900

 Score

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.

Autumn 
 

  • 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 Fluid Mechanics


Spring
 

  • 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
  • Mathematical & Statistical Models of Investment
  • Time Series Analysis
  • Optimisation
  • Advanced Data Modelling
  • Networks and Complex Systems

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. 

Tuition Fees

These are based on ResidencyCitizenshipCourse requirements.

Review the three groups of criteria to determine your fee status as follows
 

  1. Residency
     
    • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
       
  2. Citizenship
     
    • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
       
  3. Course Requirements (all must be met)
     
    • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
    • You must be undertaking a full-time undergraduate course of at least 2 year’s duration
    • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)

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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