Aims/Description: The module aims at providing the theoretical and practical knowledge that students need to use computational resources existing in genomics research and develop personalized interventions for patients. Particular focus will be placed on quantitative analysis of genomic data in genetic diagnostics and drug development, whereby these topics will be integrated in a problem-based curriculum. Students will gain real-world experience by learning from both the public and private sectors enabling them to have a wide range of career prospects after completing the module. The delivery will be in a 'flipped-teaching' structure with both online lectures and face-to-face practicals.

Staff Contact: KIRBY JANINE
Teaching Methods: Lectures, Seminars, Problem solving, Independent Study
Assessment: Course work, Practical skills assessment, Presentation

Information on the department responsible for this unit (Neuroscience):

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 Individual modules are occasionally updated or withdrawn.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