10 Credits AUTUMN

Pre-requisites: BMS242, BMS243

BMS237, compulsory entry test

Aims/Description: It will use a multidisciplinary approach integrated with programming tools and cloud environment to introduce students statistical concepts underpinning advanced data analysis and methods that are suitable for high-throughput data analysis. Theoretical concepts and detailed examples will be introduced to provide the students with key steps to perform experimental design in data collection, data analysis and results validation.The course will present state-of-the art research in computational biology with guest lecture and enable students to critically assess statistical methods and enhance innovative thinking in data analysis.

Staff Contact: Dr M Milo
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 Individual modules are occasionally updated or withdrawn.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.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

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