BSc in Mathematical Science (CAO: GY319)

School of Mathematics, Statistics and Applied Mathematics, NUI Galway

Overview

The Bachelor of Science (B.Sc.) in Mathematical Science is a new 4-year honours degree programme that covers diverse aspects of Mathematics and its applications, giving students a solid foundation in the Mathematical Sciences. As students advance through the programme they may choose a specialism: Mathematics, Applied Mathematics, Theoretical Physics, Financial Mathematics, Computer Science, or Statistics with Bioinformatics.

Course outline

  • Course Outline - Year 1
    • Mathematics
    • Applied Mathematics
    • Probability and Statistics
    • Computer Science
    • One of: Biology, Chemistry, Earth and Ocean Sciences, Physics  
  • Course Outline - Year 2 Curriculum core consists of components from the following subjects:
    • Mathematics
    • Applied Mathematics
    • Computer Science
    • Probability and Statistics
    • Options in Mathematics science, such as Mathematical Molecular Biology, Numerical Analysis, and Algorimths.
    • Up to one third of second-year curriculum content may be selected from options within other Science subjects not listed above, subject to first year prerequisites
  • Course Outline - Year 3 and 4
    Selection of specialised subjects from chosen areas of the Mathematical Sciences. Choices are flexible and possibilities include:
    • Mathematics: Advanced Analysis, Abstract Algebra, Geometry, Topology, Numerical Analysis, Financial Mathematics, Applied Algebra.
    • Applied Mathematics: Modelling, Methods of Applied Mathematics, Partial Differential Equations, General Relativity and Cosmology, Fluid Mechanics and Electromagnetism, Quantum Mechanics, Elasticity, Nonlinear Systems
    • Computer Science: Advanced Programming and Software Engineering, Network-centric Computing, Cryptography, Advanced Operating Systems
    • Statistics and Bioinformatics: Statistical Modelling and Methodological Developments, Stochastic Processes, Applied Statistics and Statistical Computing, Mathematical Biology, Modelling Biological Systems, Bayesian modelling with applications in Molecular Biology
    • Final Year Project  
students