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Next Intake: Spring 2024
This microcred provides a practical and theoretical overview of how data is created, organised, and communicated and considers the implications of the same. Learners will develop a critical understanding of how data is gathered, created, analysed and mediated by introducing essential technical, numeracy and statistical concepts required to read data and data-driven research.
Please ensure you enter the Module Code below when applying for this module. Applications without this cannot be processed.
|Introduction to Data Communication
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 MicroCreds are:
Topics covered in this short course include:
- Introducing data communications; Defining key terms and concepts
- What is data and datafication? Examining the landscape of open data, public data and critically the process of datafication. Show how datasets and databases are built.
- Data modelling and algorithms. How data is classified, categorised, and modelled; the technical process of algorithmic decision-making and developing students' ability to analyse and evaluate potential limitations in the process.
- Understanding data-driven methodologies: Exploring the most common ways data is used and developed in research and highlighting means of evaluating the quality and limitations of data and different data-driven methodologies.
- Data and disciplines: Different approaches to data in science, social science, politics, business and more.
- Data and the media: Developing a critical awareness of good and bad practices regarding the mediation of data-driven information
- Data and regulation: Exploring the landscape of Irish and EU regulation around data and considering specific implications for data communications.
On successful completion, you will be able to:
- Understand and evaluate the process of producing data, purposes, and uses of data in society.
- Describe basic statistics and what they mean.
- Understand the rules around collecting, retaining, and communicating data.
- Source and analyse publicly available data.
- Evaluate the process of datafication and data modelling and explain how it is used for communications purposes.
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.
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.