Course summary
The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:
- business and management;
- health science;
- social sciences;
- geography;
- planning;
- computer science;
- mathematics.
- computational skills;
- data analytical skills;
- data stewardship skills and knowledge;
- project design skills.
Entry requirements
High 2:1 honours degree (or overseas equivalent). In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: - data analytics and/or statistics; - computational subjects; and - pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are: - Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health) - Experience in working in data science, GIS or environmental based data analysis Evidence of training in environment-themed methods or topics
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Fees for entry in 2024 have not yet been set.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL