Program Overview

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Statistics for Medical Scientists (STAT0026)

Key Information

The Statistics for Medical Scientists module is offered by the Faculty of Mathematical and Physical Sciences, with the Statistical Science department being responsible for teaching.

• Faculty: Faculty of Mathematical and Physical Sciences
• Teaching department: Statistical Science
• Credit value: 15

This module is restricted to students registered on the following degree programmes:

• BSc/MSci Applied Medical Sciences
• BSc/MSci Cancer Biomedicine
• BSc Infection and Immunity
• BSc Nutrition and Medical Sciences
• BSc Sport and Exercise Medical Sciences

Alternative Credit Options

There are no alternative credit options available for this module.

Description

This module aims to provide students with the tools to apply basic statistical theory and mathematical knowledge to solve problems in health research. It is intended for students registered on certain undergraduate programmes offered by the UCL Faculty of Medical Sciences.

Intended Learning Outcomes

• Have an understanding of basic statistical methods used in the design and analysis of studies in health research
• Be able to apply these methods and to interpret the corresponding results

Applications

The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules.

Indicative Content

• Joint probability, conditional probability, independence, and mutual exclusivity
• Discrete probability distributions including the binomial and Poisson distributions
• Continuous distributions including the normal, chi-squared, and t-distributions
• Distribution summary measures such as the mean and variance
• Sample summary measures such as the mean, variance, median, and quartiles
• Hypothesis testing including the z-, two-sample t-, paired t-, and 2-tests, and ANOVA
• Confidence intervals including those for the mean, the difference between means, and a proportion
• The Central Limit Theorem
• Linear regression: Measures of correlation; The line of best fit; Simple and multiple linear regression

Key Texts

Available from ReadingLists@UCL.

Module Deliveries for 2026/27 Academic Year

Intended Teaching Term

Terms 1 and 2, Undergraduate (FHEQ Level 5)

Teaching and Assessment

Mode of Study

In person

Methods of Assessment

• 25% In-class activity
• 25% Group activity
• 50% Coursework

Mark Scheme

Numeric Marks

Other Information

Number of Students on Module in Previous Year

197

Module Leader

Professor Elinor Jones