Unit information: Data Science for Geographers in 2026/27

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience.

Unit name Data Science for Geographers
Unit code GEOG30045
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Hasova
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

None.

Units you must take alongside this one (co-requisite units)

None.

Units you may not take alongside this one

None.

School/department School of Geographical Sciences
Faculty Faculty of Science

Unit Information

This unit aims to provide students with an understanding of the methods, techniques, concepts, and theoretical-conceptual grounding for modern data science topics. The unit is structured as a methods survey unit, involving instruction in the concepts & theories behind geographical research in data science, as well as its applications in spatial supervised & unsupervised learning methods. The unit will cover three topics selected based on student interest including, but not limited to: (1) multilevel regression models; (2) spatial regression models; (3) local regression models; (4) generalised linear models; (5) spatial anomaly detection; (6) spatial clustering and regionalisation.

This unit explores topics in the Geographic Data Science theme, and in human and physical geography.

Your learning on this unit

On completion of this Unit students will be able to:

  1. Explain how spatial thinking is incorporated or embedded in a given spatial data scientific method or approach;
  2. Estimate or run the methods covered in the course using R;
  3. Understand and explain the substantive results of the methods in both technical and non-technical terms, either in writing and in presentation.

The following transferable skills are developed in this Unit:

  • Numeracy, computer and problem solving;
  • Analytical and quantitative skills and project management;
  • Written and verbal communication

How you will learn

The unit will be taught through a combination of teaching methods including:

  • online resources
  • synchronous group lectures, workshops, seminars, tutorials and/or office hours
  • asynchronous individual activities and guided reading for students to work through at their own pace
  • computer practical work

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative):

Report synthesizing the data analysis and presentation techniques discussed in the first half of the unit.

Tasks which count towards your unit mark (summative):

Report synthesizing the data analysis and presentation techniques discussed throughout the entire unit (100%). [ILOs 1-3]

When assessment does not go to plan

Students will be offered an alternative report-based assessment for completion in the summer reassessment period.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. GEOG30045).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the University Workload statement relating to this unit for more information.

Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.