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Course options
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Qualification
MSc - Master of Science
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Location
UCL (University College London)
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Study mode
Full time
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Start date
01-SEP-25
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Duration
1 year
Course summary
Biodiversity and ecosystems underpin all human wellbeing and endeavours – from health and happiness to prosperity and security. Yet biodiversity is declining rapidly, with global and local extinctions, and widespread population declines. The new MSc in Ecology & Data Science will directly address the knowledge and skills gap, providing students with a unique and highly sought after expertise, attuned to addressing the critical ecological and environmental global challenges of our time.
About this degree
The MSc Ecology and Data Science will develop your data science skills from the conceptual to the practical following a unique approach that builds a foundational understanding of ecological theory, biodiversity monitoring methods, statistical programming, practical knowledge of cutting-edge sensor technologies, and environmental applications of artificial intelligence and data-driven modeling.
Who this course is for
Our new cross-disciplinary postgraduate programme will welcome students interested in ecology and wildlife conservation technologies, citizen science to big data analytics, sustainable urban design and health.
What this course will give you
Facing the twin global challenges of the climate and biodiversity crises, we urgently need to understand how our ecological systems and environmental resources can better be managed as they underpin all human wellbeing and endeavours, from health and happiness to prosperity and security. This programme will develop the next generation of professionals better equipped to address critical global environmental challenges across society.
Teaching and learning
You will be assessed through a variety of both formative and summative approaches including case study report, individual video presentation, group presentation/pitch, open book exam, grant proposal, reflective summary (group and individual), science communication, and a final research project developed in collaboration with UCL academics and/or with a programme partner.
Employability
Upon completion of the MSc Ecology & Data Science, you will possess the project management skills, and theoretical and practical experience needed to implement cutting-edge technological, statistical, and computational solutions to address ecological and environmental challenges across society. You will also leave with the necessary insight to plan and undertake independent research, and the ability to report its findings to a variety of audiences.
Employment destinations may include engineering, development and environmental consultancies academia museums civil service local government environmental charities conservation charities.
Application deadline
31/07/2024
Modules
Tuition fees
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- Dominican Republic
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- England
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- France
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Greece
- Grenada
- Guatemala
- Guinea
- Guinea-Bissau
- Guyana
- Haiti
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- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
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- Israel
- Italy
- Ivory Coast
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- Kenya
- Kiribati
- Korea DPR (North Korea)
- Kosovo
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- Laos
- Latvia
- Lebanon
- Lesotho
- Liberia
- Libya
- Liechtenstein
- Lithuania
- Luxembourg
- Macedonia
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- Malawi
- Malaysia
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- Mali
- Malta
- Marshall Islands
- Mauritania
- Mauritius
- Mexico
- Micronesia
- Moldova
- Monaco
- Mongolia
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- Morocco
- Mozambique
- Namibia
- Nauru
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- Saudi Arabia
- Scotland
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- Serbia
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- Spain
- Sri Lanka
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- Sudan
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- Swaziland
- Sweden
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- Tunisia
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- Turkmenistan
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£ 39,800per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
UCL (University College London)
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University League Table
13th
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Campus address
UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom
Subject rankings
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Subject ranking
8th out of 91 5
12th out of 117 5
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Entry standards
/ Max 218178 81%13th
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Graduate prospects
/ Max 10084.0 84%12th
8 -
Student satisfaction
/ Max 42.99 75%74th
30 -
Entry standards
/ Max 223186 83%14th
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Graduate prospects
/ Max 10095.0 95%8th
8 -
Student satisfaction
/ Max 42.83 71%106th
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