Applied Data Science (Ecology and Evolution)

Entry requirements

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.

Test Name: IELTS Academic, IELTS Online, IELTS One Skill Retake and IELTS Indicator (IELTS – Academic version)
Required Score: 6.0 overall and no less than 6.0 in any section

Test Name: TOEFL iBT, TOEFL iBT Home Edition, TOEFL iBT Paper Edition and TOEFL MyBest scores
Required Score: Overall score 87 with minimum scores of 21 for writing, listening, reading and speaking.

Test Name: Pearson Test of English (Academic) PTE
Required Score: 64 overall with no less than 64 in all communicative skills

Test Name: LanguageCert International ESOL SELT
Required Score: B2 Communicator with minimum 33 in writing, speaking, listening & reading

Test Name: LanguageCert Academic
Required Score: 65 overall and no less than 65 in any skills score

Test Name: INTO Pre-sessional English
Required Score: 60 and no less than 60 in any sub-section

Test Name: Study Group Academic English
Required Score: Minimum of 60% overall, no less than 60% in any section

Test Name: Skills for English: SELT
Required Score: B2 Pass

Test Name: Duolingo English Test - test taken up to 30th June 2024
Required Score: 110 overall and no less than 110 in Literacy, 95 in Conversation, 110 in Comprehension and 90 in Production

Test Name: Duolingo English Test - test taken from 1st July 2024
Required Score: 110 overall and no less than 110 in any Integrated Subscore

Careers

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.

The UK has one of the world’s strongest and most developed data analytics sectors, predicted to grow by 177% over the next 5 years and demand for qualified professionals continues to grow. The UK’s commitment to expansion of renewable energy is likely to mean a high level of investment in the sector in the next decade. The adoption of the UK’s microgeneration tariff in 2009, the Green Deal in 2013, the phased adoption of the Renewable Heat Incentive from 2011-2014 and introduction of Contracts for Difference in 2014, suggests continued strong support for rapid expansion of renewable energy in the UK.

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.

Employer-valued skills

• Data science, modelling and essential programming skills and how to apply these to The United Nations sustainable development goals
• Ability to extract information from data as a basis for evidence-based decision making
• Working with stakeholders and advanced team-working skills in complex organisations
• Using digital media to convert complex data sets into useful information to engage with the lay public and specialists

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