20 Credits SPRING

Pre-requisites: BMS242, BMS243

Aims/Description: Advanced Data Manipulation and Visualisation skills are increasingly being seen as highly-desirable for careers in academia and industry. This module will use a multidisciplinary approach to introduce students to concepts underpinning advanced data analysis, and their application to high-throughput functional genomics datasets. Theoretical concepts will be reinforced by hands-on practical sessions to build up an adaptable and reproducible workflow to perform exploratory analysis, visualisation and statistical testing. The course will present state-of-the art research in computational biology and enable students to assess statistical methods and promote innovative thinking in data analysis.

Staff Contact: DUNNING MARK J
Teaching Methods: Lectures, Problem solving, Independent Study
Assessment: Course work

Information on the department responsible for this unit (Biomedical Science):

Departmental Home Page
Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK