Overview
The MSc in Ecology and Data Science at UCL is an interdisciplinary programme that merges the fields of ecology and data science, preparing students to confront significant global environmental challenges. With a duration of one calendar year, this full-time course is structured to provide a comprehensive education that combines theoretical knowledge with practical applications. The curriculum is designed to develop a robust skill set that includes data science methodologies, ecological theories, and advanced analytical techniques. Students will learn to utilise statistical programming languages such as R and Python, as well as cutting-edge machine learning tools, to address ecological issues effectively.
Why Ecology and Data Science at UCL?
UCL is renowned for its academic excellence and innovative research, making it an ideal institution for pursuing a master's degree in this field. The programme benefits from partnerships with prestigious organisations such as the Institute of Zoology and the Natural History Museum, providing students with unique opportunities for collaboration and learning. UCL’s facilities, including the People and Nature Lab, are equipped with state-of-the-art technology that enhances the learning experience. The university's commitment to sustainability and environmental research further underlines its dedication to addressing ecological challenges.
Careers
Graduates of this programme are well-prepared for careers in various sectors, including government agencies, environmental NGOs, and the private sector. Alumni have found positions in organisations such as the Zoological Society of London, Google, and various environmental consultancies. The skills acquired during the course enable graduates to work as data scientists, conservationists, or pursue further academic research, including PhD opportunities in related fields.
Programme Structure
Courses include:
- Computational Methods in Biodiversity Research
- Ecology and Ecological Monitoring
- Technology for Nature
- AI for the Environment
- Nature-Smart Challenge
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
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Language
IELTS & PTE Test Preparation
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data Ecology View 402 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- Normally, an upper second-class (2:1) UK Bachelor's degree in life sciences, environmental sciences or related subject area, or an overseas qualification of an equivalent standard. Applicants with an appropriate professional qualification and relevant work experience.
Tuition Fees
-
International Applies to you
Applies to youNon-residents42700 GBP / year≈ 42700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents25300 GBP / year≈ 25300 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Ecology and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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