'As an overseas student in Clinical Medicine, I chose CMEE because I thought computational methods in E &E can be applied to many research fields, together with my love for nature. It turned out to be more than I expected. The course modules were carefully designed so that it was not that scary as it seemed to be for a new programmer. The project module was also flexible, and I chose to study the population genetics of one pathogenic fungus, and look into the dynamic changes in their drug resistance genes. I will continue to apply what I have learned from CMEE to medicine, which I enjoyed so much during my rich and wonderful year!  ' - Jianing Zhu, Class of 2016-17. Jianing resumed her Joint Masters program in Clinical Medicine at Zhejiang University in China in October 2017.

'Choosing the CMEE MSc was one of the best decisions I have ever made. This course allowed me to transition from a purely ecological background into the world of biological computing which has opened numerous doors for me- including helping me secure a PhD. CMEE sits at the intersection of biology, computer science, and math. As biologists generate ever larger datasets, the demand for people with this skillset who are able to not only analyse this data computationally but also interpret in its biological context will only increase. I believe that everyone who applied for PhDs in my cohort was offered at least one position before the course had even ended! As a CMEE student, it was obvious to me that the course organisers and lectures had put lots of effort into the design and execution of the course. It was this level of commitment that makes CMEE stand out from other masters degrees in my opinion. They provided multiple extra help sessions, gave regular feedback on assignments, fostered a collaborative environment, and gave invaluable advice on next career steps. I can’t recommend CMEE enough, whatever your background!'  - Leanne Massie, Class of 2015-16. Leanne started a PhD in Bioinformatics and Theoretical Systems Biology in Michael Stumpf's group at Imperial College London in 2016.

'The CMEE course is an excellent choice for anyone looking for a career, in academia or industry, as a quantitative biologist. The Msc course has given me a lot of computational experience and a good idea of what PhD research will entail. I also think Silwood park has one of the most friendly and close-knit academic communities.' - Matishalin Patel, Class of 2014-15. Mat started a PhD at Oxford in the Interdisciplinary Bioscience DTP.

'The MSc in CMEE allowed me to combine two of my key interests, biology and maths, while also allowing me to develop new skills such as computer programming and modelling. I could then put these skills into practice during my research project in Iceland, from data collection right through to analysis, which was hugely satisfying.  The CMEE course puts you in a fantastic place for beginning a research career' - Louise Archer, Class of 2014-15. Louise started a PhD with Tom Reed at University College Cork, Ireland on evolution and ecology of alternative life histories in brown trout. 

'Biologists who possess mathematical and computational skills are becoming increasingly popular with potential supervisors and employers; Quantitative Biology is therefore the perfect stepping stone.' - Rebecca Spriggs, class of 2011, became a PhD student in the laboratory of David Coomes, Department of Plant Sciences, Cambridge University.

'This course helped me bring several interests together in preparation for a PhD. A fantastic opportunity for all biology students looking to develop.” – Sean Tuck, class of 2012. Sean was accepted to become a PhD student in laboratory of Andy Hector, Oxford University.

'As a student coming from a mathematical background the course helped me widen my scientific horizons and interests on topics that I previously had never considered.’ – Dimitrios Nerantzis, class of 2011, became a PhD student in the laboratory of Claire Adjiman, Department of Chemical Engineering, Imperial College London.

"The Quantitative Biology MSc provided me with a set of skills which I find to be applicable in all fields of biology. It taught me how to create models of biological processes and use these models to make predictions. I also developed programming skills and learnt how to analyse data. These are critical skills in research." - Carolina Feijao, class of 2011, became a PhD student in the laboratory of Paul Dupree, Department of Biochemistry, Cambridge University.

‘I always had help and guidance from the instructors, and by the end of the year I was able to do quite complex analyses in R. Modelling and analytic concepts are taught from a biological perspective, with practical applications of theoretical concepts. I would really recommend the MSc in Quantitative Biology to any biologist with an interest in modelling. I believe it coulhelped me to become a better researcher.’ – Michela Busana, class of 2012, became a PhD student in a joint studentship between the University of Sheffield and the University of Groningen.

“The quantitative biology masters provided a great transition from my mathematics undergraduate into the field of biology.  Small class sizes allow for one on one tutoring between Lecturers and students which is essential for inter-disciplinary research.  The course covers all the fundamental techniques required for modern day biological research and there is not a better grounding to have when applying for PhDs.” – Jack Massey, class of 2011, became a PhD student in the laboratory of Tim Coulson, Oxford University.

‘In one year, I learnt a multitude of techniques that have all proven to be invaluable in my PhD.  I had always been interested in mathematical inte rp retat io ns of biological sy stems, but the QB course introduced me to programming these models, which I enjoyed so much it is now a major compone nt of my research.’  - Rebecca Spriggs, class of 2011, became a PhD student in the laboratory of David Coomes, Department of Plant Sciences, Cambridge University.

"The course unites great teaching staff with relevant, modern and interesting courses. I have learned much from it and I believe that anyone interested in applying mathematical and computational tools to biological questions would benefit from it greatly. During this one year I was in contact with great researchers and students and I am certain that this has helped me in my career." - Ana Gomez, class of 2012.

"Coming from an ecology background, this course expanded my skill-set hugely, giving me the ability to comprehend, question and perform modern, high-standard research in ecology and evolution. Also, the mathematical, computational and general research skills acquired are highly transferable." - Paul Rassell, class of 2012, became a PhD student in the laboratory of Daniel Reuman, Division of Ecology and Evolution, Imperial College London.

The Cultural Evolution of Evolution. 2017. Marina Papadopoulou. Marina started a PhD in computational models of collective behaviour of bird flocks at the University of Groningen in October 2017. 

An exploration of linkage disequilibrium measurement and  interpretation of decay using next generation sequencing data. 2017. Emma Fox. Emma started a PhD in Ecology and Evolutionary Biology at UCLA in September 2017. 

Is modelling the physiological niche of Pacific bluefin tuna (Thunnus orientalis) a better method of predicting movement than the ecological niche? 2017. Rebekka Allgayer. Rebekka started a PhD on Integrating fish tracking and genetics to inform conservation management of Atlantic salmon at The University of Aberdeen in October 2017.

A Mechanistic Model of Bacterial Evolutionary Responses to Antibiotics in Communities of Varying Size. 2016. Leanne Massie. Leanne started a PhD in Bioinformatics and Theoretical Systems Biology in Michael Stumpf's group at Imperial College London in 2016.

The effects of environmental temperature and thermal adaptation on predator-prey interactions. 2015, Louise Archer. Louise started a PhD with Tom Reed at University College Cork, Ireland on evolution and ecology of alternative life histories in brown trout. 

Individual-Based Modelling of Microbial Community Invasions. 2016, Jean Vila. Jean started a PhD student in the laboratory of Alvaro Sanchez at Yale University on eco-evolutionary feedbacks in microbial communities.

Modelling the evolution of gene-specific ecological divergence in bacteria. 2016, Michael Schmutzer. Michael started a PhD with Andreas Wagner at the University of Zurich.

Assessing general models for the temperature dependence of population density in disease vectors. 2015, Tom Smallwood. Tom started a PhD on the ecology of infectious diseases with Rosie Woodroffe at ZSL.

Why Do Whales Exist?: An Investigation into Cancer Resistance in Cetaceans. 2015, Matthew Speight.Matthew Started  a PhD in Interdisciplinary Biosciences at Oxford University.

Linking the Impact of Selective Logging with Seedling Recruitment Dyanmics. 2015, Michael Massam. Michael started a PhD in the Edwards lab at Sheffield University on optimising logging strategies in the Brazilian Amazon to minimise biodiversity loss. 

Modelling the relationship between local biodiversity and remotely-sensed vegetation indices: the effect of spatio-temporal scale. 2012, Sean Tuck. Sean was accepted to become a PhD student in the laboratory of Andy Hector, Oxford University. Also see MODISTools: an R package for retrieval and processing of remote-sensing data from NASAs MODIS satellites. 

Finding value in SAD moments: a novel approach to upscaling species-abundance distributions. 2012. Hercules Araclides. Hercules was accepted to become a PhD student, beginning September 2012,  in the laboratories of Pierre Legendre, University of Montreal, and Jonathan Davies, McGill University, Canada.

Eco-evolutionary dynamics in the bighorn sheep: linking population growth, trait variation and heritability of body mass. 2012. Michela Busana. Michela became a PhD student in a joint studentship between the University of Sheffield and the University of Groningen

Investigating climate change extinction risks of amphibians by simulation: the importance of life history and thermal performance traits. 2012. Bonnie Mappin. Bonnie became a Research Assistant in the laboratory of Simon Hay, Spatial Ecology and Epidemiology Group, Department of Zoology, Oxford University. She is working on the Malaria Atlas Project.

Testing for a random walk hypothesis with or without measurement error. 2012. Tin-Yu Hui. Tin-Yu became a PhD student in the laboratory of Austin Burt, Division of Ecology and Evolution, Imperial College London.

Modelling the impact of a keystone species on community diversity and stability. 2012. Jon Hamley. Jon became a PhD student in the laboratory of Jacob Koella, University of Neuchatel.

Survival of an exploited grey wolf population in the Northern Rocky Mountains: density dependence and licensed hunting. 2011. Jack Massey. Jack became a PhD student in the laboratory of Tim Coulson, Oxford University.

Demographic and evolutionary implications of lion body size: the application of an integral projection model to a large carnivore. 2011. Rebecca Spriggs. Rebecca became a PhD student in the laboratory of David Coomes, Department of Plant Sciences, Cambridge University.

Predicting induced chaos in the population dynamics of an insect species. 2011. Dimitrios Nerantzis. Dimitrios became a PhD student in the laboratory of Claire Adjiman, Department of Chemical Engineering, Imperial College London.

A synergy between wild and commercial: bio-economic modelling of python farming. 2011. Carolina Feijao. Carolina became a PhD student in the laboratory of Paul Dupree, Department of Biochemistry, Cambridge University.

• Dr. Samraat Pawar (course director)
• Dr. James Rosindell (course co-director)
• Prof. Timothy Barraclough
• Dr. Tom Bell
• Prof. Vincent Jansen
• Prof. Koenraad Audenaert
• Prof. Austin Burt
• Dr. Jason Hodgson
• Dr. Brian Hollis
• Dr. Rob Ewers

In addition, guest lectures and modules on specialized topics are delivered by members from the Maths, Engineering and Computer Science Departments at Imperial College, including the Centre for Complexity Science. 

Imperial College works closely with employers and industry, including Industrial Advisory Panels to design Master’s courses which provide graduates with technical knowledge, expertise and transferable skills and to encourage students to take internships and placements. All Master’s courses are designed with employer needs in mind with some Master’s courses accredited by Professional, Statutory and Regulatory Bodies. Most Master’s courses offer an opportunity to carry out research projects in industry.

The course is open to students with a broad range of biological degrees including biology, zoology, plant sciences, microbiology and environmental sciences, as well as bioinformatics, engineering, mathematics, computer science, or physical sciences. The minimum expected requirement is an Upper Second Class Honours degree in a relevant subject from a UK academic institution, or an equivalent overseas qualification.

In addition, for CMEE MSc, a minimum of B at UK A-level maths AND/OR a degree AND/OR work/research experience that demonstrates sufficient knowledge of maths is required. Candidates with non-biological backgrounds (for example maths, physics, or geography) or qualifications below the minimum level of the College academic regulations i.e. a lower Second Class Honours degree will need to convince the course directors of their interest, eligibility and/or suitability through their statement of intent in their application, and if necessary, through an informal interview. For CMEE MRes, UK A-levels knowledge of Maths is not required, but is desirable. Candidates with non-biological backgrounds (for example maths, physics, or geography) or qualifications below the minimum level of the College academic regulations i.e. a lower Second Class Honours degree will need to convince the Course Directors of their interest, eligibility and/or suitability through their statement of intent in their application, and if necessary, through an informal interview.  

Applicants must also meet the College's English language requirements which for students outside the English speaking world are: IELTS 6.5 (plus writing and speaking 6.0); TOEFL Internet 100 (plus writing and speaking 24).

• Information on Fees
• Basil Furneaux Memorial Fund
• Information on Scholarship opportunities