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Graduate Admissions

6 courses offered in the Department of Geography

This MPhil offers an 11-month programme of advanced study and research into the challenges to the contemporary world represented by the idea of the Anthropocene. The course is intended for students with a good first degree in geography or a range of related disciplines.

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The MPhil in Conservation Leadership is a full-time, 11-month Master's course aimed at graduates of leadership potential with at least three to five years of relevant professional experience, either in employment or in a voluntary capacity. The unique features of this course are its delivery by a partnership between several university departments and conservation organisations based around Cambridge, and its focus on issues of management and leadership. Consequently, the course aims to deliver a world-class and interdisciplinary education in conservation leadership that is not available elsewhere.

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This course is intended to cover the needs of students seeking advanced research training and many students use it as a foundation for beginning a PhD.

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The MPhil in Geography is a 12-month full-time programme of research that introduces students to research skills and specialist knowledge. If you are interested in applying please get in touch directly with the Department to ascertain if you would be a suitable candidate before making an application.

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The PhD is a full-time three-year research degree (or five-year part-time) examined by a thesis of up to 80,000 words. A successful thesis will represent a substantial contribution to knowledge and will also represent a realistic amount of work for three years' study (five years' part-time).

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This MPhil offers an 11-month programme of advanced study and research into the natural and anthropogenic causes and ecological and societal consequences of Holocene climate variability. The course is intended for students with a strong first degree in geography or a related discipline, such as environmental sciences and (paleo)climatology.

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2 courses also advertised in the Department of Geography

From the British Antarctic Survey

In this course, a PhD is undertaken under the joint supervision of a research scientist at the British Antarctic Survey and a University supervisor.  Students may be based at BAS, but will be registered for their degree with one of the partnering departments:- Archaeology & Anthropology, Land Economy, Plant Sciences, Zoology, Earth Sciences, Geography and Scott Polar Research Institute, Applied Mathematics & Theoretical Physics, Chemistry.

The British Antarctic Survey welcomes enquiries from those interested in higher degrees in earth science subjects, physics, chemistry, mathematics, biology and related subjects. Further projects may also be available in the University Department (see other entries in this list).

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From the Department of Earth Sciences

The UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) trains researchers (through several multidisciplinary cohorts) to be uniquely equipped to develop and apply leading-edge computational approaches to address critical global environmental challenges by exploiting vast, diverse and often currently untapped environmental data sets. Embedded in the outstanding research environments of the University of Cambridge and the British Antarctic Survey (BAS), the AI4ER CDT addresses problems that are relevant to building resilience to environmental hazards and managing environmental change. The primary application areas are:

  • Weather, Climate and Air Quality
  • Natural Hazards
  • Natural Resources (food, water & resource security and biodiversity)

Students in the CDT cohorts engage in a one-year MRes degree in Physical Sciences (Environmental Data Science) which includes a taught component and a major research element, followed by a three-year PhD research project. Students will receive high-quality training in research, professional, technical and transferable skills through a focused core programme with an emphasis on the development of data science skills through hackathons and team challenges. Training is guided by personalised advice and the expertise of a network of partners in industry, government, the third sector and beyond.

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Department Members

Professor Bill Adams
Head of Department

  • 37 Academic Staff
  • 20 Postdoctoral Researchers
  • 167 Graduate Students
  • 325 Undergraduates

Research Areas