- Academic Registry
Course & Unit Catalogues


MN52218: Advanced data visualisation

[Page last updated: 09 August 2024]

Academic Year: 2024/25
Owning Department/School: School of Management
Credits: 5 [equivalent to 10 CATS credits]
Notional Study Hours: 100
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CWPF 100%
Assessment Detail:
  • Coursework (CWPF 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Knowledge & Understanding: Understand the principles and best practices of advanced data visualisation. Professional & Transferable Skills: Create sophisticated static and interactive graphs using flexible programming methods. Design and deploy interactive dashboards for data exploration and presentation. Visualise various types of data, including geospatial, network, time series, and textual data. Communicate insights effectively through the use of well-designed visualisations.


Synopsis: Develop proficiency in advanced data visualisation techniques vital for the business world. Use flexible programming methods to craft impactful static and interactive graphs that effectively convey insights. Learn best practices, design principles, and techniques for visualising diverse data types like geospatial, network, time series, and textual content. Enhance your ability to analyse complex datasets and present compelling visual narratives to inform decision-making in the business context.

Aims: Develop proficiency in advanced data visualisation techniques vital for the business world. Use flexible programming methods to craft impactful static and interactive graphs that effectively convey insights. Learn best practices, design principles, and techniques for visualising diverse data types like geospatial, network, time series, and textual content. Enhance your ability to analyse complex datasets and present compelling visual narratives to inform decision-making in the business context.

Skills: Upon completion of this course, students will be able to:
1. Understand the principles and best practices of advanced data visualisation.
2. Create sophisticated static and interactive graphs using flexible programming methods.
3. Design and deploy interactive dashboards for data exploration and presentation.
4. Visualise various types of data, including geospatial, network, time series, and textual data.
5. Communicate insights effectively through the use of well-designed visualisations.

Content: The unit content covers core and advanced data visualisation concepts and techniques, with a focus on practical applications in the business context. Throughout the unit, students will gain hands-on experience in creating effective visualizations, leveraging cutting-edge tools and technologies, and developing their skills in flexible coding, data analysis and communication.

Course availability:

MN52218 is Optional on the following courses:

School of Management

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.