Mathematical Modelling - MSc Programme content
Advance your career prospects by employing mathematics techniques to solve real-life problems across a broad range of sectors.
Key information
EU fees per year
€8,500
Non-EU fees per year
€21,500
NFQ Level
NFQ Level 9 Major
Duration
One year
Attendance
Full-time
Programme type
Taught
Start date
September
Award
Masters (MSc)
Key information
- Complete full-time in one year
- Option to complete part-time over two years after consultation with the Course Director
- Delivered on campus
- Modules taught during autumn and spring semesters
- Submit research project by mid August which may focus on problems that arise through MACSI’s connections with industry
- Full-time students take 2 core modules and 3 elective modules in the autumn semester and 3 core modules and 2 elective modules in the spring semester
You will learn through a blend of
- Lectures, workshops, and hands-on activities
- Reflective practice and guided research
- Regular feedback from faculty and peers
Programme content
Core modules
- Advanced Methods I (MS6011) provides a review of advanced methods to analyse, evaluate and solve problems.
- Scientific Computation (MS6021) introduces numerical techniques and high-level programming skills that enable students to employ computational techniques in other fields of science and engineering
Electives – choose 3
- Fundamentals of Continuum Mechanics (ME6001)
- Mathematics of Natural Phenomena (MS4627)
- Perturbation Techniques and Asymptotics (MS4407)
- Numerical Partial Differential Equations (MS4008)
- Fundamentals of Financial Mathematics (MS4027)
- Fundamentals of Statistical Modelling (MS6061)
- Stochastic Processes (MS4217)
- Statistical Inference for Data Science (MS6051)
- Introduction to Fluid Mechanics (MA4617)
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Core modules
- Advanced Methods II (MS6012) enables students to apply advanced methods to solve partial differential equations.
- Mathematical Geoscience (MA6002) enables students to build mathematical models for environmental systems.
- Mathematical Biology and Physiology (MA6012) enables students to build mathematical models for biological and physiological systems.
Electives – choose 2
- Inverse Problems for Partial Differential Equations (MS6052)
- Dynamical Systems (MS4018)
- Mathematical Modelling (MS4408)
- Stochastic Differential Equations for Finance (MS4028)
- Mathematical & Statistical Models of Investment (MS4528)
- Time Series Analysis (MS4218)
- Statistical Learning (MS6022)
- Networks and Complex Systems (MS6032)
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Core module
- Project (MS6003) synthesises major concepts and ideas encountered in earlier taught modules in a substantial document, written to a professional standard.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Area(s) of interest
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