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The Bath Master’s Experience - Science

Sample live teaching by joining our virtual taster lectures.

  • 19 May 2021, 9.00am to 19 May 2021, 12.30pm BST (GMT +01:00)
  • This is an online event.
  • This event is free

What to expect

Each session will include:

  • a taster lecture
  • a Q&A with a current student, graduate or industry partner giving you the chance to ask questions about master’s study at Bath and how it can help you to achieve your career goals

All sessions will be hosted live on Microsoft Teams.

Sessions available

There are four sessions available on this day. You can book onto as many sessions as you like but we recommend that you choose sessions that are most relevant to the course you would like to study.

If you book on a session, you will also receive a recording of it after the event even if you can't attend.

Mathematics in industry

Wednesday, 19 May 2021, 9:00 - 10:30 GMT+1

Join this session if you are interested in Mathematics with Data Science for Industry MSc .

Session description

The taster lecture on Mathematics in Industry will describe the many, and varied, ways that mathematical modelling and data science are used in modern industry. It will also discuss the different ways in which mathematicians can work very effectively with industry.


Chris Budd OBE is Professor of Applied Mathematics at Bath (having been at Bath since 1995) and Director of Knowledge Exchange at the Bath Institute for Mathematical Innovation. His prime interest is using mathematics to understand the world that we live in. He has done a lot of work in numerical weather prediction in close collaboration with the Met Office and his algorithms are now used in the operational weather forecasting code. He collaborates with the energy industry, the aerospace industry, the telecommunications industry and the food industry. Recently he has been working closely with SAGE using mathematical modelling tools to understand the impact of COVID-19 on HE, schools, retail, and train passengers. When not doing mathematics he likes nothing better than climbing mountains with his dogs.

Overview of physiochemical properties for drug design

Wednesday, 19 May 2021, 9:00 - 10:30 GMT+1

Join this session if you are interested in Drug Discovery MSc.

Session description

The taster lecture will focus on how physical properties of molecules are considered in drug discovery programmes.


Stephen Flower is the departmental Placements Tutor for Chemistry and the Director of Undergraduate Laboratory Teaching. He lectures in Organic Chemistry and Drug Discovery, contributing to several units in the Drug Discovery course. His Postdoctoral research focussed on the synthesis of fluorescent and electrochemical sensors for biomedical applications with industrial partners for uses such as DNA detection and blood sugar level monitoring , which has shaped his interests in the application of synthetic organic chemistry to healthcare challenges.

His current research interests are in the areas of novel anti-MRSA drugs and targeted anti-cancer drugs that utilise reversible cyclisation to become activated in the tumour cell. My other area of interest is in the development of new tunable fluorophores with orthogonal sites of attachment to biological targets.

Studying molecular biosciences at Bath

Wednesday, 19 May 2021, 11:00 - 12:30 GMT+1

Join this session if you are interested in Molecular Biosciences (Bioinformatics) MSc, Molecular Biosciences (Biotechnology) MSc, Molecular Biosciences (Medical Biosciences) MSc, Molecular Biosciences (Microbiology) MSc.

Session description

An interactive session providing an overview of the MSc programmes in Molecular Biosciences. The MSc programmes in Molecular Biosciences are designed to help our students develop an understanding of the molecular and cellular basis of life and how this can be applied in health, medicine, food biosecurity and sustainable biotechnologies.


Zoe Burke is a lecturer in the Department of Biology and Biochemistry and the Director of Studies for the MSc programmes in Molecular Biosciences. She lectures in Molecular Medicine and Molecular Biotechnology with a focus on stem cells, developmental biology and genome manipulation techniques.

Her current research interests are in the areas of cellular reprogramming and the directed differentiation of pluripotent stem cells towards lineages that can be used for drug toxicity testing and the development of cellular therapies.

The data science pipeline

Wednesday, 19 May 2021, 11:00 - 12:30 GMT+1

Join this session if you are interested in Data Science MSc, Data Science and Statistics MSc, Human Computer Interaction MSc, Machine Learning and Autonomous Systems MSc, Software Systems MSc.

Session description

This taster lecture provides an introduction to data science, touching on artificial intelligence and machine learning as they are central to the approach. It covers the kinds of problems we solve with data science and gives a high level overview of the process, or pipeline, of doing so.


Tom S. F. Haines works in machine learning, both theory and applied. He is primarily interested in Bayesian non-parametrics and graphical models that can quantify their uncertainty and generate a more complex explanation when the evidence justifies it. His work tends towards visual applications, as in extracting information from or generating images, but also focusses on security, physics, human-computer collaboration and natural language processing.

The Bath Master's Experience

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