Data Processing, Coding & Visualisation (852L1)

15 credits, Level 7 (Masters)

Spring teaching

On this module, you’ll explore the fundamentals of:

• data processing
• data coding
• data visualisation
• data presentation.

The first half of the module will demonstrate and familiarise you with the utility of Excel in business economics applications using, for example:

• basic programming commands
• solver
• the visualisation and data presentation facilities like histograms, bar charts and pivot tables.

The second part of the module will focus on the general-purpose programming language Python. This part of the module will focus on:

• installing Python
• understanding the concepts of conditionals, loops and iterations
• appreciating the nature of different data structures (e.g strings, files, dictionaries and tuples)
• loading data into Python
• visualising data (e.g., using bar charts, boxplots and heat maps) using the Python Data Analysis Library.

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 30 hours of contact time and about 120 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.