Bachelor of Arts (Mathematics and Education)

The BA in Mathematics and Education is a four-year, fulltime honours degree programme which incorporates a teacher training qualification and opportunities for practical teaching experience throughout the four years of its duration. Graduates of the programme will be qualified mathematicians and will be recognised by the Teaching Council of Ireland as qualified postprimary teachers of Mathematics and Applied Mathematics. The programme is jointly run by the School of Mathematics, Statistics and Applied Mathematics and the School of Education of NUI Galway. It has been created as a response to the growing need for excellent Mathematics teachers in Irish post-primary schools as well as a general need for qualified mathematicians.

Year 1

• History and Structure of Irish Education
• Principles of Second-Level Mathematics
• Introduction to Educational Sciences
• Practical Teaching Programme 1 (work placement component)
• Algebra and Analysis I and II
• Skills of Mathematics
• Introduction to Applied Mathematics I and II
• Skills of Applied Mathematics

Year 2

• Philosophical Foundations of Education
• Mathematics Methodology and Skills of Teaching
• Practical Teaching Programme II (work placement component)
• Mechanics I
• Differential Forms
• Probability and Statistics
• Linear Algebra
• Geometry

Year 3

• Curriculum and Assessment
• Practical Teaching Programme III (work placement component)
• Professional Studies: Integrated Project
• Psychology, Sociology and Catering for Diversity
• Research Literacies for Professional
• Development and Lifelong Learning
• Mathematical Modelling I
• Groups
• Discrete Mathematics
• Mechanics II
• Complex Analysis
• One Mathematics elective

Year 4

• Block Teaching Practice (work placement component)
• Practical Teaching Programme: Integrated Project
• Final-Year Symposium
• Final Year Project in Mathematics plus four
• Mathematics electives OR six Mathematics electives
• Mathematics electives may include: Metric Spaces; Measure Theory; Applied Statistics; Topology; Advanced Statistical Methods for Business; Functional Analysis; Ring Theory; Fields and Applications; Cryptography; Advanced Group Theory; Mathematical Molecular Biology; Networks; Numerical Analysis; Mathematical