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Computer Science

Photo of Dr Matt Collison

Dr Matt Collison

Director of Education and Student Experience - Senior Lecturer (E&S)

 (Streatham) 5910

 01392 725910


As Director of Education and Student Experience I lead education for the department of Computer Science. In this role, I designed and deliver the department education strategy including, leading on undergraduate and postgraduate curriculum development, managing teaching workload in the department and championing excellence and inclusivity in the student experience. During my leadership, education in our department has maintained a top three position for student experience among the Russell Group, over 94% employability and been one of fastest growing departments in the country.

My academic interests are primarily in Computer Science Education and Data Systems. The modules I lead are Programming, Group Software Engineering and the Industry Placement. In recent years I've taught a range of topics and held the role of programme director for undergraduate Computer Science degrees. I was the department lead for Project Enhance during Covid, chair of the Industry Advisory Board for the department, fellow of the Education Incubator, End Point Assessor for the Digital and Technology Solutions degree apprenticeship, Postgraduate Teaching Assistant Coordinator and champion for students on the Autism spectrum.

Before joining the University of Exeter I was a teaching fellow at Newcastle University where I taught Information Systems, Server-Side Web Development and coordinated the Dissertation Project module. I was the School of Computer Science academic lead for enterprise and employability, Placements Coodinator and was the postgraduate demonstrator coordinator. I progressed from a Teaching Assistant role where I supported teaching across undergraduate Computer Science.

I received my doctorate from Newcastle University in 'Data Integration for Microbiome Research' with sponsorship from GSK. My research focused on using data integration approaches and big data analytics to facilitate reproducible bionformatics in the emerging area of microbiome research, and supporting translation of microbiome science for drug discovery through profile based searches at scale to screen for interactions.

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