Certificate in Data Visualisation

The aim of data visualisation is to effectively communicate information through a graphical means. This postgraduate certificate course aims to provide an understanding of the theory underpinning the field of data visualisation and to provide an introduction to the practicalities of creating effective graphical representations of data.

Apply the principles of data visualisation to the analysis, design and communication of information in order to provide insights, clarity and meaning.

The course is suitable for individuals involved in the collection, analysis or interpretation of data, as well as for those responsible for the communication of data to a range of audiences.

The course will use the data visualization application Tableau. In addition, the open source software environment R together with a number of its data visualization libraries including ggplot2, Plotly and the mapping library Leaflet will be used. No prior experience with Tableau or R will be assumed.

On successful completion of this course, you will be able to:

1. Identify and critically appraise the history of data visualisation, the work of key practitioners and the emerging themes and critical debates relating to a data-driven society.

2. Apply the grammar of graphics and appreciate its role in the design of appropriate visuals.

3. Create graphics that visualise data in one, two and higher dimensions using proprietary and open source software tools.

4. Explore the emerging role of geospatial analysis in data analysis and develop interactive map-based visualisations.

5. Appreciate the role of statistical reasoning in data analysis and develop surveillance models for visualising data collected over time.

This course is intended for students who:

• have successfully completed a primary degree at level 8 and are interested in learning more about the field of Data Visualisation, and/or
• may be working in a related field related to data science, information design or graphic design, and/or
• want to retrain or upskill in order to start a career the field of Data Visualisation.

Students may come from a range of backgrounds, with varying levels of prior design experience (e.g., computing, engineering, technology, business, marketing, design, creative arts, psychology, etc. graduates) for whom data visualisation is a key area of interest.

Application Deadline:

IADT operates a rolling admissions policy for graduate taught courses, with decisions issued in 4 weeks after a submitted and complete application is received. An application is incomplete until you provide all required items on the checklist (including the application fee, if applicable).

Generally, courses will remain open to applications until all places are filled.

For more information, please visit Data Visualisation (Certificate) – IADT