Research Methods in Genetics (C7152)

15 credits, Level 4

Spring teaching

This module introduces key skills for contemporary genetics: statistics, bioinformatics, and also an understanding of the wider social and ethical implications of genetics and genomics. Statistics allows us to form a quantitative understanding about experimental or observational data and the information we can extract from it. Statistical methods and concepts underlie the use of the vast amounts of data available from genomics and information technology.

This module introduces key concepts in statistics and offers practical experience of handling and interpreting bioinformatics and experimental data, and their application with lectures and workshops. The second part of the module looks at the impact of genetics and genomics in contemporary medicine and agriculture as well as the wider social and ethical issues. This includes lectures, student presentations and an essay.


60%: Lecture
20%: Practical (Workshop)
20%: Seminar


100%: Coursework (Essay, Media, Problem Set)

Contact hours and workload

This module is 150 hours of work. This breaks down into 20 hours of contact time and 130 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.