This course may be available through clearing

If you already have your exam results, meet the entry requirements and hold no offers, then you may be able to apply to this course now.

Contact the admissions team

If you're waiting for your results, then sign up to our clearing alerts to get all the information you need ahead of results day.

Sign up now

BSc Optometry / Course details

Year of entry: 2020

Coronavirus information for applicants and offer-holders

For the latest updates on how coronavirus will affect applicants and offer-holders, you can visit our FAQs.

Read our latest coronavirus information

Holding an offer for 2020 entry? Visit our dedicated offer-holders page.

Information for offer-holders

Course unit details:
Clinical Methodology 2

Unit code OPTO22051
Credit rating 0
Unit level Level 2
Teaching period(s) Semester 1
Offered by Optometry
Available as a free choice unit? No


Unit title Unit code Requirement type Description
OPTO12052 Pre-Requisite Compulsory


To provide experience of data analysis, statistical calculations, and the use of scientific software.

Learning outcomes

Students should:

  • Develop an understanding of the key elements of sample variability, experimental design and statistical testing.
  • Gain an awareness of the means to quantify variability within populations; be able to select appropriate statistical tests.
  • Be able to present experimental and clinical data clearly; identify differences between samples and in find associations between variables; apply statistics within experimental design.
  • Be familiar with the use office software in order to perform calculations.


This course is delivered through Blackboard, there are no Lectures.

Weekly exercises within the Blackboard virtual learning environment, supported by briefing material delivered within this Blackboard course (including documents, slide-shows, podcasts and external links).

Assessment methods

  • Variability and sampling (1 week) - 11%
  • Preparing publishable graphs in Excel (1 week) - 11%
  • Testing for differences (1 week) - 11%
  • Investigating associations (1 week) - 11%
  • Dealing with categorical data (1 week) - 11%
  • Using SPSS (1 week) - 11%
  • Comparing more than two groups (1 week) - 11%
  • Regression (1 week) - 11%
  • Choosing statistical tests and designing experiments (1 week) - 11%

*Cumulative score on the assessed questions must exceed 70% for a pass. Passing this Biol22051 course is required in order to pass the Personal and Professional Development module.

Feedback methods

Immediate feedback on submission of answers to practice quizzes and questions, including tips on questions that have been answered incorrectly. Score on submission of each assessment, along with a running total and average mark.

Recommended reading

Ennos AR (2012) Statistical and Data Handling Skills in Biology (3rd Edition), Prentice Hall.

Ennos R., Johnson M.L. (2018) Statistical and Data Handling Skills in Biology (4th Edition), Pearson.

Study hours

Independent study hours
Independent study 0

Teaching staff

Staff member Role
Stephen Prince Unit coordinator

Return to course details