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What will I learn on this module?
In this module, you will learn how to process and analyse a wide range of geographical and environmental data, including quantitative, spatial, and qualitative data. You will engage in teaching, learning and assessment activities applicable to all students of geography and environmental science. The module aims to give you a broad introduction to data collection and analysis in the geographical and environmental sciences, which will form the basis of programme-specific training at levels 5 and 6. Topics and issues covered include:
• sources of geographical and environmental data;
• descriptive and inferential statistics;
• geographical information systems;
• qualitative data collection and analysis.
How will I learn on this module?
In this module, you will learn through a series of IT practical classes, short (1-hour) lectures, and seminars. You will also make use of a range of learning resources, including specific software programmes.
The learning will be divided into three key areas:
1) exploring quantitative data
2) spatial data analysis
3) qualitative data analysis
In most of the weeks you will have a short lecture (1hr) focused on theoretical concepts and a 2-hour IT practical where you will practice geographical analytical skills. IT practicals will be organised in a flexible and engaging manner to outline the key concepts related to that week’s topic, and to give the students timely support in developing real-world analysis skills.
How will I be supported academically on this module?
You will be supported academically by a module handbook outlining key dates, general assignment briefs for the academic year, plus key books and journals to help you plan your learning and time. You will be given directed reading via an electronic reading list. In addition, you will be given comprehensive handbooks for each of the blocks of learning, detailing activities for weekly IT practical sessions and directing you to specialist online data sources, resources and reading materials. You will receive tailored written feedback on the written assignment.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. Online reading lists (provided after enrolment) give you access to your reading material for your modules. The Library works in partnership with your module tutors to ensure you have access to the material that you need.
What will I be expected to achieve?
Knowledge & Understanding:
• MLO1: Source and analyse a wide range of both primary and secondary geographical and environmental data.
Intellectual / Professional skills & abilities:
• MLO2: Develop and apply skills in the using a wide range of data analysis software.
• MLO3: Summarise, present and report the findings of your data analysis precisely and succinctly.
How will I be assessed?
The summative assessments on this module are: a quantitative exercise diary (40% – MLOs 1-3) and a project report (60% - MLOs 1-3). Both assessments will be submitted electronically via Turnitin on the eLP module site.
The quantitative exercise diary will be submitted in the middle of the second semester and will incorporate descriptive and inferential statistical analysis exercise of quantitative datasets.
The project report will be based on qualitative and geospatial data analysis skills developed during the module and will draw on analysis undertaken during taught sessions in the latter two components of the module.
Verbal feedback on tasks completed in practical classes will be supplied immediately. Written feedback will be provided electronically on submitted assignments, normally within three working weeks of submission.
Students will receive verbal formative feedback on tasks and analysis undertaken in workshops and IT classes to support them in completing both assessments.
Pre-requisite(s)
None
Co-requisite(s)
None
Module abstract
In this module, you will learn and develop key data processing and analysis skills relevant to geographers and environmental scientists, which will build a strong foundation for further programme-specific training later on in your degree. Training includes the fundamentals of handling and analysing quantitative, spatial, and qualitative data, including the development of specific software skills, to explore real-world geographical and environmental issues and phenomena.
Teaching and learning activities are tailored towards your own degree programme and the module will be delivered primarily through 2-hour lecture-embedded IT practical classes alongside short lecture (1-hour) session focused on theoretical concepts. You will also have access to a range of learning resources, including electronic reading lists, made available via the module eLP site. The module will be assessed by a quantitative exercise diary (40%), and a project report (60%).
Course info
UCAS Code F751
Credits 20
Level of Study Undergraduate
Mode of Study 3 years Full Time or 4 years with a placement (sandwich)/study abroad
Department Geography and Environmental Sciences
Location City Campus, Northumbria University
City Newcastle
Start September 2025
All information is accurate at the time of sharing.
Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.
Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.
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