The overall aim of this programme is to provide students with an engaging open distance learning experience. Whether studying as an individual or working in an organisation, students will receive core training and specialist skills development in Geographical Information Science (GISc) and related areas.
The programme will provide core GIScience skills training (Year 1) followed by specialist skill development in a range of contemporary domains as selected by the student (Year 2) and an opportunity to undertake a piece of independent original GIScience research under the guidance of a research leader (Year 3).
The unique selling point of this programme is the choice offered with regards to specialist analytical modules spanning human/physical geography and technical skills. Following successful completion of Year 1, students can select modules of greatest interest or value to them from a range of options, including environmental GIS, geodemographics and web-GIS.
More specifically, the programme(s) aims are to:
1. provide widening opportunities to pursue a postgraduate programme using distance learning materials, resources and support;
2. provide contemporary learning and teaching experiences that are relevant to everyday work and which use practical ‘real world’ and up-to-date examples;
3. develop technical abilities and competencies in range of data handling skills such as data extraction, cleaning, management and analysis, spatial and statistical modelling, programming, mapping and visualisation;
4. encourage innovative uses of data that have a significant geographical components in the broad domains of environment, remote sensing, Big Data, demographics and planning;
5. develop data savvy graduates with the abilities and confidence needed to apply in-demand GIScience skills to a range of application areas/problems.
Distance Learning
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5001M | GIS Data Visualisation and Analysis 1 | 15 | 01 Oct to 31 Dec, 1 Sep to 31 Dec (adv yr) | PFP |
| GEOG5002M | GIS Data Visualisation and Analysis 2 | 15 | 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar | PFP |
| GEOG5004M | Professional and Personal Development | 15 | 1 Mar to 31 May | PFP |
| GEOG5009M | Visualisation for Geographic Data Science | 15 | 1 May to 31 July | PFP |
Distance Learning
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Basket 1: Candidates will be required to study 15 credits from the following optional modules, avoiding any duplication:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5008M | GIS and Environment | 15 | 01 Oct to 31 Dec, 1 Feb to 31 May (4mth)(adv yr), 1 Mar to 31 May, 1 Sep to 31 Dec (adv yr) | |
| GEOG5012M | Web-based GIS | 15 | 01 Oct to 31 Dec, 1 Sep to 31 Dec (adv yr) |
Basket 2: Candidates will be required to study 15 credits from the following optional modules, avoiding any duplication:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5005M | Business and Service Planning | 15 | 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar, 1 May to 31 July | |
| GEOG5006M | Digital Image Processing for Environmental Remote Sensing | 15 | 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar |
Basket 3: Candidates will be required to study 15 credits from the following optional modules, avoiding any duplication:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5007M | Geodemographics and Neighbourhood Analysis | 15 | 1 Feb to 31 May (4mth)(adv yr), 1 Mar to 31 May | |
| GEOG5522M | Environmental Data for Global Challenges | 15 | Semester 2 (Jan to Jun) |
Basket 4: Candidates will be required to study 15 credits from the following optional modules, avoiding any duplication:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5003M | Programming for Geographical Information Analysis | 15 | 1 Feb to 31 May (4mth)(adv yr), 1 May to 31 July | |
| GEOG5005M | Business and Service Planning | 15 | 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar, 1 May to 31 July |
Distance Learning
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| GEOG5013M | Dissertation (GISc) | 60 | Semesters 1 & 2 (Sep to Jun) | PFP |
Last updated: 08/05/2025 17:05:25
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