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Statistical Data Science - MAT00100H

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  • Department: Mathematics
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2025-26

Related modules

Pre-requisite modules

Prohibited combinations

Additional information

This module can be taken from a general background in probability and statistics (e.g. a Stage 1 “Introduction to Probability and Statistics” module). An indicative brief syllabus is as follows:

  • Axioms of probability

  • Independence

  • Bayes Theorem

  • Random variables and moments

  • Joint distributions (mainly discrete) and covariance

  • The Law of Large Numbers and The Central Limit Theorem

  • Statistical models

  • Estimators (including what it means to be unbiased)

  • Confidence intervals for the mean of a normal distribution (variance known/unknown)

  • Linear regression

Although knowledge of how to code (e.g in R) is not a prerequisite for this module, it would be an advantage.

Elective Pre-Requisites

These pre-requisites only apply to students taking this module as an elective.

Semester 1
Prerequisites: Introductory University-level probability and statistics, equivalent to that found in MAT00004C. Core mathematics content: differentiation; vectors/matrices/eigenvectors.

Module will run

Occurrence Teaching period
A Semester 1 2025-26

Module aims

Information currently unavailable

Module learning outcomes

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Indicative assessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 50.0
Essay/coursework 50.0

Special assessment rules

None

Indicative reassessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 50.0
Essay/coursework 50.0

Module feedback

Information currently unavailable

Indicative reading

Information currently unavailable


The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.