Application Domains 2

This module introduces students to applications of artificial intelligence and data science in a number of important real-world domains. Students will learn the complexities of working with challenging real-world data and the effects this technology has on people and society. The module includes an introduction to a number of advanced techniques in data science followed by specially selected guest lectures from data scientists implementing these methods. The topics covered will align with the latest techniques being applied within  industry and research. Topics in the past have included sports analytics, sign language recognition and AI ethics. Students will develop a project based on challenging datasets in order to apply the methods introduced in lectures. This will include a proposal, final paper and presentation.

Upon completion of the module, students will be able to:

• Have an understanding of techniques used to address challenges often encountered in real-world datasets, such as methods for learning with limited labels and unstructured data.
• Apply a selection of these approaches to a challenging dataset of their choosing.
• Analyse and debate solutions to novel data science problems with data and resource constraints.
• Understand the legal and ethical implications of data science and AI techniques and use this knowledge to scrutinise datasets, their sources and use cases

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis. 

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport

There is no availability for a deferred entry onto a micro-credential.

If applicable, evidence of competence in the English language as per DCU entry requirements.  Please see here.

For further information regarding the HCI learner subsidy eligibility criteria please click here.