Overview
The MSc Data Science for Ecology and Epidemiology is an applied programme designed to turn life scientists into quantitative data scientists with the rigorous technical expertise that leading research institutions and conservation organisations highly value.
Why this programme?
- The biological sciences are undergoing a data revolution. The challenge is no longer collecting data but the ability to analyse and interpret it. This programme exists to bridge that gap, transforming you into a scientist capable of turning complex biological data into robust evidence.
- Join a diverse postgraduate community where your quantitative focus intersects with peers in MSc Conservation Management of African Ecosystems and MSc Animal Welfare Science, mirroring the interdisciplinary teams found in professional research and government agencies.
- You will study within the School of Biodiversity, One Health and Veterinary Medicine, surrounded by active researchers working on everything from antimicrobial resistance, disease ecology, and wild immunology to African ecosystem management. This unique environment allows you to apply your quantitative skills to a vast array of real-world biological problems.
- Within the School’s diverse portfolio of masters degrees, this programme serves as the dedicated "quantitative hub". While other programmes focus on policy, welfare, or management, you will focus on the rigorous analysis and modelling that underpins them all. You will graduate with the elite technical skills required to support and influence the work of field biologists and policy-makers.
- We focus on understanding the processes that generate biological data and modelling them effectively. You will gain expertise in Generalised Linear Mixed Models (GLMMs), Machine Learning, Bayesian inference, and Deterministic and Probabilistic Causal frameworks — tools essential for cutting-edge research but rarely taught at this level in generalist biology degrees. While the taught components are delivered in R, we recognise the value of polyglot data science. Depending on your project scope and supervisor, there are opportunities to utilise Python or Julia, particularly for machine learning and computationally intensive modelling.
Programme Structure
Courses include:
- Conservation Genetics
- Dynamics of Populations
- Economic tools for conservation
- Infectious Disease Ecology and the Dynamics of Emerging Disease
- Modern Inference Methods for Ecology
- Molecular Epidemiology and Phylodynamics
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Glasgow, United Kingdom
Disciplines
Data Science & Big Data Ecology View 65 other Masters in Ecology in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 2.1 Hons (or non-UK equivalent) in Ecology, Evolution, Mathematics, Statistics, Earth Sciences and Epidemiology.
- We may also accept degrees in subjects with no evidence of statistics training.
- We may sometimes accept degrees at 2.2 Hons (or non-UK equivalent), if higher scores have been achieved in the subjects listed above, or in other relevant modules.
- Applicants must have some evidence of statistical training or experience.
Tuition Fees
-
International Applies to you
Applies to youNon-residents31050 GBP / year≈ 31050 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11367 GBP / year≈ 11367 GBP / year
Living costs
Glasgow
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science for Ecology and Epidemiology.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility