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Geographical Information Science MSc

Geographical Information Science MSc

Different course options

Online | University of Leeds | 36 months | SEP-25

Study mode

Online

Duration

36 months

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Geographical Information Systems Geological Data Analysis

Course type

Taught

Course Summary

Overview

Geographical information is integrated into our day-to-day life and is crucial to a growing number of industries in both the public and private sectors.

Our Geographical Information Science MSc will provide you with in-depth and specialist knowledge of GIS techniques. You’ll focus on scientific, technical and computational aspects of Geographical Information Science (GIScience), with particular reference to the socioeconomic and environmental sciences.

Core modules introduce GIS, a rapidly evolving area in business and environmental applications. You’ll be introduced to GIS packages and a range of data sources/techniques, useful for those wanting to undertake social and environmental science research and those keen to understand the application of geotechnology as practitioners. You’ll study theories and concepts underpinning GIS and have the chance to explore topics including advanced spatial data visualisation, digital image processing, and geodemographics.

As technology continues to advance, more and more organisations will be seeking trained specialists in this field to help them drive their businesses forward – which is why studying this MSc could open you up to many career opportunities.

Career opportunities

Geographical information science is becoming more and more integral to corporations worldwide, meaning your career opportunities when you graduate could be vast. The specialist intellectual knowledge and skills you’ll learn on this course are highly vocational and in high demand from employers, both in the UK and overseas.

Numerate and spatial data savvy MSc GISc graduates with both technical and domain-specific skills are sought after and transferable into a range of different organisations and roles in both the private and public sector.

Plus, University of Leeds students are among the top 10 most targeted by top employers according to?The Graduate Market 2023, High Fliers Research, meaning our graduates are highly sought after by some of the most reputable companies in the field.

Popular careers include data analysts and GIS professionals and planners working for corporations such as the United Nations, statistics agencies, local government, the police/fire/health services, retail consultancies, utility companies and beyond.

Modules

This module develops core visualisation and spatial analysis and statistical skills required for the analysis of geographically referenced data. Students are introduced to ‘traditional’ and ‘novel’ datasets at different spatial scales and granularities related to areas, individuals, households and neighbourhoods in various contexts. Taught through instructional notes and practical activities, students will gain a comprehensive knowledge of powerful industry-standard Geographic Information Systems (GIS) as a tool for mapping and spatial analysis and become familiar with spatial units, concepts and techniques that are used to analyse quantitative data. Students gain familiarity in applying statistical analysis techniques to explore geographic data. The module equips students to produce and communicate high quality outputs that can be used to inform decision making. This module provides students with the quantitative skills and familiarity with different types of data to enable them to undertake subsequent modules and independent research.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£4,000

International fees
Course fees for EU and international students

For this course (per year)

£4,000

Entry requirements

A bachelor degree with a 2:1 (hons) in a relevant subject such as geography, earth or environmental science, economics or a social science, mathematics, computer science or other subjects where good numeracy and/or computing skills can be demonstrated.