School of Mathematics, CSE

Module

Statistical Methodology (Y3/4)

Academic year

2025-2026

Notes

Methods-focused teaching for senior undergraduate students.

DRPS entry (2025-26)

• Course: Statistical Methodology (MATH10095)
• School/College: School of Mathematics, College of Science and Engineering
• Level/Credits: SCQF 10, 10 credits (ECTS 5)
• Course start: Semester 1
• DRPS URL: https://www.drps.ed.ac.uk/25-26/dpt/cxmath10095.htm
• Summary: Core likelihood-based statistical inference and linear modelling course used as preparation for advanced statistics options.

DRPS synthesis

Learning objectives

• Apply likelihood-based inference for estimation, confidence intervals, and hypothesis testing.
• Fit and interpret normal linear models with attention to model assumptions.
• Conduct statistical analyses in R with appropriate workflow and reporting.

Course content

• Likelihood function, maximum likelihood estimation, and likelihood ratio testing.
• Bayesian foundations (Bayes theorem and posterior distributions).
• Iterative estimation methods (including Fisher scoring) and normal linear models.

Assessment profile

• 80% written exam.
• 20% coursework.