Advert
Advert

MSc Geographical Data Science

  • DeadlineStudy Details:

    MSc 1 year, full-time

Course Description

Please note, this course is being advertised subject to approval.

The interdisciplinary MSc in Geographical Data Science uses the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. The places we live are becoming increasingly entangled with data, from an expanding ecosystem of open access data to official statistics, from internet content to smart city initiatives.

The insights derived from the spatial dimension of information open a myriad of opportunities. Whether you come from computer science, geography, urban planning, environmental studies, economics, or any other discipline, our MSc in Geographical Data Science offers a gateway to leverage the spatial nature of data and harness these opportunities.

Using a wide range of data types and sources students are taught how to collate, curate, manage, analyse and visualise geographical data using data science programming languages such as R and Python as well as specialised software such as ArcGIS to better understand the place-based contexts of a wide range of social, economic and environmental phenomena.

Entry Requirements

Students are required to have at least a second-class honours degree in any subject. Students with nonstandard qualifications are encouraged to apply. We also give due consideration to prior professional experience gained by mature students in relevant areas of work. In such cases, applicants would be expected to provide full details to enable its full evaluation by admissions staff.

Ask a question

Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are a number of possible sources of funding: loans and grants, bursaries and scholarships.

Student Destinations

The programme will furnish you with the technical and ‘soft’ transferable skills that will allow you to pursue your career aspirations. In addition to becoming a technically proficient Geographical Data Scientist, you will be better-able to: learn new things and to adapt to new situations; assess situations, ideas, and arrive at decisions; develop innovative ideas and solutions to problems; deal with people and express yourself clearly and effectively; understand what others are saying and discuss options and courses of action.

There is a shortage of qualified data scientists in the UK and abroad (Demand for geospatial skills: Report for the Geographical Commission). As a successful graduate, you will be highly employable as a Geographical Data Scientist/Analyst/Consultant in a range of businesses, consultancies, government departments and research institutions that use geographical data to better understand and manage the natural world, human societies and their inter-relationships and interactions.

Module Details

Semester 1

Core modules

  • Fundamentals of GIS
  • Overview of Data Science Practice
  • Statistics for Data Science
  • Fundamentals of Data Science

Semester 2

Core modules

  • Geospatial Data Analytics
  • Geographical Artificial Intelligence
  • Dissertation

Option modules

  • GIS in Environmental Health
  • Research for Change: Skills and Challenges of Applied Environmental Research
  • Field Data Capture
  • Information Visualisation
  • Modelling Data

In addition, students on the ‘With Industry’ MSc programme take:

  • Placement Preparation 1
  • Placement Preparation 2
  • On Placement
  • Dissertation

University of Leicester Campus

Where is University of Leicester?

Videos

View Website

University Profile