MSc Mathematical Modelling in Biology and Medicine

Last updated: August 30, 2023 | By  
MSc Mathematical Modelling in Biology and Medicine

Develop skills in fundamental aspects of mathematical biologyLearn about mechanistic mathematical modelling and dynamical systems theory applied to biology, ecology, neuroscience, synthetic biology and medicine complemented by advanced data science methodsYou’ll keep abreast of current research happening in this fast-moving field from a range of internal and guest speakers our regular seminar seriesBecome proficient in requisite computational tools and techniques with practical sessions including key industry-standard programming languages such as MATLAB and Python.Undertake an independent research project where you’ll explore your interests in greater depth, with the support of an academic, where you can focus on or contribute to current research.Interact with world-leading research groups at the Living Systems Institute and gain first-hand experience of interdisciplinary study, including performing biological experiments and analysing biological datasetsDevelop skills in fundamental aspects of mathematical biologyLearn about mechanistic mathematical modelling and dynamical systems theory applied to biology, ecology, neuroscience, synthetic biology and medicine complemented by advanced data science methodsYou’ll keep abreast of current research happening in this fast-moving field from a range of internal and guest speakers our regular seminar seriesBecome proficient in requisite computational tools and techniques with practical sessions including key industry-standard programming languages such as MATLAB and Python.Undertake an independent research project where you’ll explore your interests in greater depth, with the support of an academic, where you can focus on or contribute to current research.Interact with world-leading research groups at the Living Systems Institute and gain first-hand experience of interdisciplinary study, including performing biological experiments and analysing biological datasets