MSc Applied Data Science (Ecology and Evolution)

at University of Exeter

Contemporary crises of the environment, and the ongoing threats of habitat loss and extinction posed to many species, have brought into sharp focus the importance of data intensive research in ecology and evolution. This programme is specifically designed for students with an interest in modern approaches in the life sciences.
 

• Term 1: students develop core skills and understanding through the fundamentals modules in data science and in ecology and evolution
   
• Term 2: students are exposed to state of the art methods in the Trends in Data Science and Artificial Intelligence module, complete the interdisciplinary, inquiry-led module module Tackling Sustainability Challenges using Data and Models, and can select from further Masters level modules within biosciences
   
• Term 3: students undertake an advanced data science and modelling project
   

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
 

Compulsory modules

• Fundamentals of Data Science
• Trends in Data Science and AI
• Data Science and Modelling Dissertation
• Tackling Sustainability Challenges using Data and Models
• Evolutionary and Behavioural Ecology: Frontiers and Approaches
   

A good degree (normally a 2:2).
 

Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme, or possess relevant professional experience.
 

Prior experience of coding is not necessary on this course.
 

English Language Requirements
 

• IELTS

  Overall score 6.5. No less than 6.0 in any section.
   

• TOEFL

  Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.

UK fees per year:
£10,000 full-time 
 

International fees per year:
£23,000 full-time

This programme is aimed primarily at Life Science graduates looking to further develop expertise in ecology, evolution, conservation, biodiversity, or epidemiology, and to tap into or up-skill for the “Big Data revolution” in the field and in general.
 

National and international job opportunities

Internationally, many other countries are making similar investments with major industrial nations including the US, India and China investing heavily in renewable generation. This investment will create broad opportunities for those seeking to work in the sector, both nationally and internationally.