12 monthsProgramme duration
34,250 GBPTuition Fee/year
04 Jul, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
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 world's leading institutions for quantitative biology.
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.
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.
Computational tools are biology's next microscope, only better – learn to use them now!
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.
Programme overview
Main Subject
Environmental Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
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 world's leading institutions for quantitative biology.
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.
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.
Computational tools are biology's next microscope, only better – learn to use them now!
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.
Admission Requirements
A suitable grounding in mathematics is required, for example: A-level Mathematics grade A or B.
Tuition fees
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