Data Science (Earth and Environmental Analytics)

Entry requirements

A 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

Months of entry

September

Course content

Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Earth and Environment Analysis master’s will teach you invaluable skills for today’s economy such as:

• Data analysis
• Project design
• Computational methods
• Data stewardship.

This pathway focusses particularly on the data techniques and uses that are most relevant to environmental management, with optional course units exploring themes such as pollution control and subsurface geoscience.

The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.

Upon course completion, you’ll have developed a highly valued skillset, enhancing your employability across countless sectors.