Masters in Mathematical Modelling – University of Limerick, Ireland

The course will be run by the Department of Mathematics and Statistics in association with MACSI.

6-the living bridge

Course description

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. Central to the course will be practical problems that arise in industry, commerce, engineering and medicine, as well as in the environmental and life sciences.

In particular, students will gain hands-on experience with current MACSI projects in collaboration with industry.

The course has been designed by Stokes Professor of Industrial and Applied Mathematics Andrew Fowler (who has experience teaching a similar programme at the University of Oxford). 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 will focus on a problem that arises through MACSI’s connections with industry, although there is some flexibility in the choice of dissertation. A break down of the course structure can found here.

Part time option available.

Fuse 2

Mathematical modelling of polysilicon fuses, in collaboration with Analog Devices, is one of the current research projects at MACSI. Please see here for more details.



High resolution forecasts for wind energy applications, in collaboration with Met Éireann, are currently being investigated. Please see here for more details.

Additional Information

Research in MACSI and the Department of Mathematics and Statisticsfocuses on applied mathematics. In particular, there is strong interest in numerical analysis, fluid mechanics, industrial applied mathematics, geoscience, imaging science and inverse problems, commerce and the life sciences.

The minimum entry requirement is a 2:2 undergraduate degree (or equivalent) in mathematics, or any related numerate discipline.

Application Forms and Deadlines

To apply for the MSc please visit and follow the links Graduate Programmes/Taught Programmes/Science and Engineering/Mathematical Modelling MSc. You will find a list of the required documents and instructions on how to submit these online.

Scholarship and Funding – Graduate School


If you would like more information, please contact Dr. Romina Gaburro.

Dr. Romina Gaburro
Lecturer in Applied Mathematics
Department of Mathematics and Statistics
University of Limerick

Tel: +353 61 213193
Fax: +353 61 334927

We are always pleased to talk to prospective graduate students and answer any queries.


Mandatory and optional courses are listed in the table below. Five modules must be completed in each of the first two semesters. Each module is equivalent to 6 ECTS credits. During the summer, students must complete a research dissertation under close supervision with a member of staff.

Semister 1 Semister 2
Mandatory Modules Mandatory Modules
  1. Advanced Methods I (new)
  2. Scientific Computation (new)
  1. Advanced Methods II (new)
  2. Mathematical Geoscience (new)
  3. Mathematical Biology and Physiology (new)
Three electives to be chosen from the following list: Two electives to be chosen from the following list:
  1. Fundamentals of Continuum Mechanics (new level 9 course offered by M&AE)
  2. MS4025 Applied Analysis
  3. MS4627 Mathematics of Natural Phenomenon
  4. MS4407 Perturbation Techniques and Asymptotics
  5. MS4008 Numerical Partial Differential Equations
  6. MS4027 Fundamentals of Financial Mathematics
  7. MS4315 Operation Research 2
  8. MS4215 Advanced Data Analysis
  9. MS4217 Stochastic Processes
  10. MS4214 Statistical Inference
  11. MA4607 Introduction to Fluid Mechanics
  1. MS4018 Dynamical Systems
  2. MS4408 Mathematical Modelling
  3. MS4028 Stochastic Differential Equations for Finance
  4. MS4518 Theory of Statistical
  5. Finance
  6. MS4218 Time Series Analysis
  7. MS4327 Optimisation

MA4128 Advanced Data Modelling




Project (submission by mid-September)
30 ECTS credits

  • Choice of electives must be approved by the Course Director.
  • Any modules previously taken as part of an undergraduate programme may not be taken as electives.
  • All undergraduate modules being offered as electives are at an advanced undergraduate level (year 3 or year 4) and are designated as Level 8.
  • No applications for exemptions will be considered.