Course Overview

In this course, you will learn how to analyze and extract insights from geospatial data, uncovering the underlying patterns and factors that can help address the big challenges we face in the twenty-first century. You will work with real-world data on a number of domains and problems, such as simulating the dynamics of change in the natural and built environment, identifying suitable locations for renewable energy power plants, predicting crime hot spots, and producing effective maps to visualize natural- and human-geography applications.

The emphasis is on enabling you to think analytically and develop new skills that have real-world applications for your work and career. You will acquire key data science skills that are in high demand in industry and important tools for research in the field:

• Geographic information systems, such as ArcGIS and QGIS

• Scientific programming in Python

• Geo-statistical and modeling in R

• Map-making and cartography

• Big data management with spatial databases, such as SQL and NoSQL

• Web mapping and development

• Remote sensing and analysis of satellite imagery

We offer this course as a Master’s, Postgraduate Diploma, and Postgraduate Certificate. For the Diploma and Certificate, you study fewer modules and do not complete a dissertation. The Diploma and Certificate are aimed at professionals and researchers who work with or wish to work with geographically referenced data. They are ideal if you are interested in studying at the postgraduate level for personal or professional reasons, but don't yet want to commit to a full MSc.

General Eligibility

At least a second-class honors degree (2:2) or equivalent in geography, computer science, or a cognate discipline. In some instances, we will consider the professional experience in place of a degree.

Part Time Work Details

20 hours of work permit weekly for international students.

Language Requirement

• If English is not your first language or you have not previously studied in English, the requirement for this program is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.