Courses / Modules / MATH6112 Computer-based statistical modelling

Computer-based statistical modelling

When you'll study it: Semester 2
CATS points: 7.5
ECTS points: 3.75
Level: Level 7
Module lead: Athanasios Avramidis
Academic year: 2025-26

Module overview

The aim of the course is to provide a modern view of computer-based data analysis, from the statistical point of view. The course is intended for students with a solid basic background in probability, statistical methods, and computing, and who aim to build on this background. Topics are covered at a brisk pace; to make the best of this course, students can expect to put in significant self-study. - MATH1024 and MATH2010 or equivalent maturity with Probability and Statistics - Basic familiarity with programming in matlab or R or equivalent.

Linked modules

Pre-requisites: MATH6183

Learning and Teaching

Teaching and learning methods

A range of teaching and learning methods is used, centered on lectures, computer laboratories, and private study.

Study time
Type	Hours
Independent Study	59
Teaching	16
Total study time	75

Resources & Reading list

Textbooks

Hastie, T and R. Tibshirani and J. Friedman (2009). The elements of statistical learning. Springer.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Repeat Information

Repeat type: Internal & External