The UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) trains researchers 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. Students will engage in a one-year MRes degree in Physical Sciences (Environmental Data Science) which includes a taught component and a major research element. On successful completion of the MRes, a three-year PhD research project will be undertaken.
Students will receive training in research, professional, technical and transferable skills through a focused core programme with an emphasis on the development of data science skills. The overall objectives of the programme are to: provide students with a broad understanding of the range of urgent environmental challenges facing global society and the practical experience of applying AI-based tools to address these challenges; build a cohort of students and equip them with skills that prepare them optimally for PhD research; develop entrepreneurial and project management skills and generate awareness of industrial, commercial and policy drivers through relevant cohort activities; and equip students with a range of skills to enable them to take prominent roles in a wide spectrum of employment and research after the PhD. |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Bachelor degree (Honours) or 4 years Bachelor's without Honours or Baccalaureat / Bachelier (first-cycle degrees in Quebec province (3 years) (except McGill University)) or Bachelor degree (Honours) or Bachelor's without Honours (3-4 years with 120 credits) from McGill University or First Professional Degree / Grade Professionnelle (titles include Doctor of Dental Medicine / Surgery, Doctor of Medicine and Juris Doctor) with a grade of 3.3/4, 3.3/4.3, B+, 7/9 (York University) |
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.
