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Data Visualisation (Certificate, L9, 10 ECTS)

  • Location: Online

  • weeks: 10

  • Fees: €1,400* See below for details of Skillnet Funding

  • Level 9

  • Course Type Flexible and Professional Learning

  • Study Mode Part Time

  • Department Design

  • Start Date 09/09/2026

Course Overview

This programme is aimed at manufacturing and process engineers, and other relevant industry professionals who work with large amounts of data on a regular basis.

The module aims are:

  • To improve participants visual and design awareness by harnessing their natural ability to recognise visual patterns within data retrieved from in-house or work related data sources
  • To strengthen design approaches and methodologies for interpreting data in visually accessible and stimulating ways for industry professionals
  • To help industry professionals understand and present their data more effectively therefore allowing them to react decisively and quickly to correct challenges in their work environment

More Information

  • Data Visualisation (10 ECTS)

    This module has been designed for professionals who work with data and help them to develop their visual skills in order to gain greater insights into systems and processes. The overall aim is to learn visual design skills and techniques to produce improved data projects and processes through analysis and problem solving.

    Topics

    Introduction to Data Visualisation

    Definitions / historical perspective / data visualisation / information design / visual storytelling / key elements of effective data visualisation / case studies.

    Visual Storytelling

    Audience / intention / meaning and significance / visual storytelling / case studies.

    Approaches to Data Visualisation

    Design convention / using colour / typography / space hierarchy / key examples.

    Self-Initiated Project

    Each week for the duration of the project, there will be a specific time set aside to avail of tutorial advice online. Tutorial times will have to be arranged in advance.

  • Applicants must possess a primary honours degree or equivalent.

    This is a level 9 Special Purpose Award. It is expected that candidates would have prior experience working with technology and have a working knowledge of relevant data software.

    or

    Recognised Prior Learning (RPL) 
    If you do not meet the academic entry requirements listed above but would like your application assessed under RPL please select YES on the online application form. Please include any relevant work experience/further information relevant to your application under the ‘Additional Information’ section.

    English Language: Applicants who do not have English as their first language must ensure they satisfy English Language requirements. For entry to undergraduate courses, a score of 5.5 in an IELTS or equivalent exam is required. For postgraduate courses, a score of 6.0 in an IELTS or equivalent exam is required. It is the responsibility of the applicant to ensure their English proficiency meets these requirements. Please note that we do not request proof of English language qualification or proficiency.

  • Modules are to be delivered over 10 weeks in an online learning format.

    2 hours per week x 10 Wednesdays

    Start Date

    There will be an online welcome session for all students on 9th September 2026.

    Classes will commence on Wednesday 16th September 2026.

    Location

    All classes will be delivered fully online.

    The proposed delivery schedule is subject to change.

  • Each 5 credits will normally equate to approximately 100 Total Learning Hours. Total Learning Hours includes the time you spend in class (lectures, tutorials, practical elements) and the time you spend completing work outside of college. The balance between these two varies by discipline, and by level of study. You should bear in mind that the workload will increase at particular times e.g. when assignments are due.

  • Assessment is based on the results of a self-initiated project presentation.

  • Certificate in Data Visualisation (Special Purpose Award – Level 9, 10 ECTS)

  • €1,400

    Partial Funding may be available for eligible candidates.

    For ICBE Business Excellence Skillnet funding options, please contact Grainne Walsh, grainne@icbe.ie

     

  • Applications will close 2 weeks before the listed start date or once the maximum number of applicants is reached.

    Places are allocated on a first come first served basis.

    Programme run subject to viable numbers.