This module seeks to develop an understanding of the basic statistical methods required for epidemiology and population sciences. Students will gain practical skills in making appropriate tabulations and graphical displays of data. Students will also gain experience in selecting and applying appropriate methods of statistical inference and in interpreting the results of the analyses. Skills needed to apply these statistical methods using statistical software will also be developed.

The overall module aim is to provide students with the key statistical principles that are essential for anyone studying epidemiology. This includes an introduction to statistical analysis using statistical software

Intended learning outcomes

Upon successful completion of the module a student will be able to: 

1. Identify, calculate, and present appropriate statistics for description and for basic analysis of epidemiologic data, including using statistical software.
2. Calculate, interpret, and present measures of statistical uncertainty, i.e. confidence intervals and P-values, including using statistical software, and describe the role of sampling variation underpinning these calculations.
3. Apply methods such as Mantel-Haenszel odds ratios, McNemar’s test, power and sample size calculation, and non-parametric analysis, to epidemiologic research and describe when these methods are appropriate.

Assessment

This module is assessed by a 1,500 word Time Limited Assessment.

Mode of delivery

Our distance learning modules are delivered entirely online via directed self-study and online materials via the Virtual Learning Environment.

Module duration

Distance learning module studies begin at the start of October each year. Students may start their studies at any time once they gain access to Moodle (the virtual learning environment) and study materials, and work through the materials in line with the assessment schedules. The study year runs from the beginning of October through to June examinations. Some students also study between June and September with extended tutorial support (e.g. those undertaking projects, the Clinical Trials integrating report, or two of the Epidemiology modules). Deadlines for submission of coursework vary per programme but are usually in February, March, May, and September.

How you'll study

Our distance learning programmes are predominantly online and largely self-directed study to enable you to study independently and at times convenient to you. You'll have access to tutorial support and the ability to interact with other students and form study groups throughout the study year via the discussions in our Virtual Learning Environment, Moodle.

Credits

• CATS: 15
• ECTS: 7.5

Module specification

For full information regarding this module please see the module specification.

Please note: information based on the 2025-26 module specification subject to change for 2026-27 entry.