The Postgraduate Certificate in Ecological Survey Techniques at the University of Oxford equips students with comprehensive knowledge, practical skills, and analytical capabilities necessary for conducting ecological field surveys across diverse taxa. The program emphasizes data collection, interpretation, and application in real-world conservation and management contexts, fostering confidence in ecological assessment methods.
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The Postgraduate Certificate in Ecological Survey Techniques at the University of Oxford equips students with comprehensive knowledge, practical skills, and analytical capabilities necessary for conducting ecological field surveys across diverse taxa. The program emphasizes data collection, interpretation, and application in real-world conservation and management contexts, fostering confidence in ecological assessment methods.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
110.0
Starting 2026-09-01
Apply before 2026-03-01
Sep-26
Courses included: one core face-to-face module two online core modules in vegetation and in data analysis; a choice of two out of four online option modules specialising in mammals and reptiles, birds, fish and amphibians, and invertebrates; and a core field project.
Applicants should possess a first-class or strong upper second-class undergraduate degree with honours, preferably in environmental conservation, ecology, biodiversity, or related life sciences. Candidates with degrees in other disciplines demonstrating relevant field experience or scientific skills will also be considered. For US degrees, a minimum GPA of 3.6 out of 4.0 is required. Consideration is given to applicants with substantial practical experience in environmental conservation, even if they do not meet the formal academic criteria.
₹11,73,407/Year
Annual Fee
1 year
Total Duration
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17800 GBP
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20870 GBP
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1250 USD
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2000 USD
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15 Apr 2025
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Amount
300 EUR
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Anytime
No Eligibility Requirements Available
No Application Steps Available
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