Data Science (Environmental Analytics) at University of Manchester - UCAS

Course options

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.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:
  • 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

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fees for entry in 2024 have not yet been set.
Data Science (Environmental Analytics) at University of Manchester - UCAS