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Bachelor of Science in Mathematical Sciences Course content

A flexible degree in mathematics and statistics that provides broad training, develops strong analytical skills and prepares you for many career paths.
Entry routes

Key information

NFQ Level NFQ Level 8
Duration Four years
Attendance Full-time

The programme is full time, of four years in duration. It includes a period of Cooperative Education during the spring and summer of the third year of the course where the skills that you have acquired are applied in an appropriate workplace. The first two years of the course provide a foundation in a broad range of areas including calculus, statistics, linear algebra, mechanics, computer science and mathematical modelling.

There is also an elective pair of modules in the first year in either (a) Computer Science or (b) Economics or (c) Finance/Accounting or (d) Physics.

The third and fourth years of the programme give you the opportunity to specialise in one of the following options:

Mathematics

The mathematics stream is aimed at giving you a rounded appreciation of mathematics and the ability to approach problem solving with a mathematical mind. It develops the analytical skills acquired in the first two years using mathematical modelling of real world problems. Topics covered include linear algebra, fluid mechanics, dynamical systems, mathematical modelling and numerical solution of partial differential equations, perturbation methods, stochastic differential equations.

Statistical Data Science 

The statistical data science stream aims to develop strong statistical, data modelling and programming skills to support the increasing need for graduates with these key skillsets. Application areas include marketing, product development and testing, finance, economics, sociology, medicine, and sports science. Topics covered range from the mathematical basis of statistics through to the use of specialised software in the analysis of large, complex sets of data. The modules include statistical inference, statistical modelling, experimental design, time series analysis, big data analytics and multivariate analysis. 

You will undertake a project in your final year that reflects your area of specialisation and, if possible, your Cooperative Education experience.

In Years 2, 3 or 4, students can apply to spend a semester studying abroad at one of our partner institutes worldwide.

Semester 5

Mathematics Pathway

Module codeModule title
MA4617Introduction to Fluid Mechanics
MS4008Numerical Methods for PDEs
MS4045Complex Analysis
MS4105Linear Algebra 2
 Elective - Choose 1
CS4416Database Systems
MS4215Advanced Data Analysis
MS4217Stochastic Processes
MB4017Geometry

Semester 6

Mathematics Pathway

Module codeModule title
 Cooperative Education

 

Semester 5

Statistical Data Science Pathway

Module codeModule title
MS4105Linear Algebra 2
MS4214Statistical Inference
MS4215Advanced Data Analysis
MS4217Stochastic processes
 One from:
MA4617Introduction to Fluid Mechanics
MS4008Numerical Partial Differential Equations
MB4017Geometry
CS4416Database Systems

Semester 6 

Statistical Data Science Pathway

Module codeModule title
 Cooperative Education
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