Big Data in Health

This microcredential will introduce Big Data, it’s characteristics and address the key concepts underlying the Big Data in Health. The theoretical underpinnings of these concepts will be presented along with its application in healthcare. Key concepts such as knowledge discovery, precision medicine and improved health outcomes will be addressed.

Accordion / FAQ component

Applicants will be expected to hold a Level 5 National / Higher Certificate in Business, Science, Engineering or equivalent. Applicants with other qualifications and/or with relevant experience may also be considered through ATU’s Recognition of Prior Learning (RPL) process

On completion of this module the learner will/should be able to;

1.To gain knowledge and understanding of Big Data, its characteristics, sources of big data and data sharing whilst ensuring privacy and governance.
2.To demonstrate knowledge of the principles underpinning the tools of Big data analysis in health related research.
3.To gain understanding of standards for interoperability in Health - Data discovery, accessibility, reusable and interoperable
4.To apply data analytic tools in Healthcare, dimensionality reduction, extracting and working with Big Data to gain knowledge and understanding of Big Data analytics.

 

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Detailed Course Information

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