Living Planet with Computational Methods in Ecology and Evolution MSc

This course is for students who wish to be trained in cutting-edge quantitative techniques in Ecology and Evolution with applications to wide range of real-world problems. This includes ecosystem-based solutions for industrial bioprocessing and production, improving food production in agroecosystems, nature-based carbon capture, and biodiversity conservation.<br/><br/>Quantitative skills are a critical limiting factor in modern biology, including the fields of Ecology, Evolution, Behaviour and Conservation Biology. In this course students learn those skills in application to important biological problems at one of the worlds leading institutions for quantitative biology.<br/><br/>Students leave with skills in data science, computing, statistics and machine learning/AI, mathematical modelling that give them a major edge in competing for jobs in NGos and industry as well PhDs.<br/><br/>This course is suitable for students coming any background in science and engineering including biology, mathematics, physics, chemistry, engineering, statistics and computer science who wish to expand their quantitative skills towards solving real-world problems in ecosystems and the environment.<br/><br/>Computational tools are biologys next microscope, only better – learn to use them now!<br/><br/>Along with coursework on cutting edge topics in quantitative ecology and evolution, you’ll will carry out an extended piece of independent research across over a five-month project, where you will apply your growing range of skills and advance your project management skills. <br/><br/>MSc Living Planet programme<br/>Our MSc Living Planet course will equip you to tackle the great environmental challenges facing the world, providing training on the transferrable research skills you’ll need to develop science-based understanding and interventions. All our MSc Living Planet streams are available in full-time or part-time modes. <br/><br/>You may wish to consider if another stream is right for you according to your career aims and background: <br/><br/>MSc Living Planet with Computational Methods in Ecology and Evolution (this stream) <br/>MSc Living Planet with Ecological Applications<br/>MSc Living Planet with Ecology, Evolution and Conservation<br/>MSc Taxonomy, Biodiversity and Evolution<br/>MRes Living Planet course