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Next Intake: Spring 2024
This module builds on from module ‘An Introduction to Data Communication’ by further exploring how to prepare and extract key features of large datasets and use them to tell stories for different types of audiences. Students will also learn key concepts and techniques behind data perception and visualisation, as well as attaining basic proficiency in some associated software tools.
Please ensure you enter the Module Code below when applying for this module. Applications without this cannot be processed.
|Module Description||Module Code||NFQ Level||ECTS Credits||Start Date||Fees|
|Advanced Data Storytelling||
This micro-credential represents a single module within a larger further award (eg. Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award. The programmes associated with this MicroCred are:
Topics covered on this microcred include:
- Principles of data communication. Develop a better understanding of the core principles around communicating data-driven information to the general public. Additionally, we consider implications for communicating with different types of audiences.
- Data gathering and analysis. Introduction to open and public data; Overview of approaches to sourcing and reviewing datasets to establish what stories emerge.
- Establish connections within and between datasets. Understanding relationships between different types of data-driven research, integrating complex data into stories, and communicating conflicting data.
- How to build narratives or stories from data. Applying knowledge gained to develop a range of narratives or stories about data on smaller or larger scales, small to large scale.
- Collaborative data project based on our learner's disciplines, areas of work or interest.
On the successful completion, you will to be able to:
- Identify ways in which groups and communities are using data to make more informed choices and decisions for human well-being.
- Identify specific concerns and harms related to datafication and mediation of same.
- Develop an informed and critical approach to understanding data power and politics.
- Demonstrate an informed and critical approach to understanding data power and politics.
- Critique algorithmic decision-making processes to identify potential biases and discrimination.
- Evaluate the benefits and risks involved with new data-driven technologies.
Applicants are normally expected to hold a primary honours degree in a related discipline, (minimum H2.2), or equivalent and have at least 3 years of relevant industry experience.
Entry requirements are established to ensure the learner can engage with the course material and assessments, at a level suitable to their needs, and the academic requirements of the module. By applying to this micro-credential, you are confirming that you have reviewed and understand any such requirements, and that you meet the eligibility criteria for admission.
Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award.