Healthcare Analytics - Mayo

Course Overview

The eHealth project has made significant progress in terms of the roll-out and integration of ICT systems across Irish healthcare services. The project objectives, inter alia, are identified as: improved population wellbeing; placing the patient at the centre of the healthcare delivery system; improved health service provider efficiencies; and the provision of an Electronic Health Record (EHR). Additionally, the project objectives align with the overall healthcare reform agenda which signals the move to a more sustainable model of healthcare, (the concept of the right care in the right place at the right time) including new models of care, technological innovation and healthcare insights derived from data.



Achievement of these objectives can only be realised through unlocking the ‘meaningful use’ of the vast amounts of healthcare data which these systems continue to capture and generate. In the business world, where successful analytics adoption (including big data analytics) has supported business value creation, the approach has been to strategically manage the diffusion of an analytics culture throughout the organisation, recognising that analytics is an amalgam of technology, process, and human capital.



This programme aims to equip students in the use of data analytics to influence healthcare delivery by raising their level of healthcare analytics awareness and skills for application & will equip graduates to use analytics in local decision-making and collaborate with the centralised business intelligence units.



Data analytics capacity and capability will be increasingly required with the volume of data generated by digital healthcare. The ability to understand, use and manipulate data through analytics skills and competency will enable graduates of this programme to champion healthcare analytics as a driver of quality within speciality areas of discipline or interest.



Why Study this course?

• Concepts: Explore the concepts important in data analysis and statistics with an introduction to statistical and analytical techniques which underpin healthcare analytics.



• Data and Technology: Use data and technology effectively, with an understanding of the context of application in the evolving digital health landscape of eHealth, mHealth, connected health and AI.



• Drive Quality: Understand, use, and manipulate data through analytics skills & champion healthcare analytics as a driver of quality within speciality areas of discipline or interest.



Who Should Apply?

This programme will provide contextual skills and competencies to build, promote and manage data and information and to understand analytics in digital healthcare. Graduates will be able to identify areas within the healthcare environment where healthcare analytics can be applied – eHealth workers/digital champions are required across the full spectrum of healthcare job roles, spanning clinical, social care, informatics, and administration.

Modules:

Statistics for Healthcare Analytics

Healthcare Analytics: Tools and Practices

Connected Health

1. Candidates applying directly to the ATU will have to meet the entry requirements as indicated in ATU/GMIT’s Academic Code of Practice No. 4 (Access, Transfer and Progression), at any given time.



2. The minimum entry requirement is a Level 8 degree with a H2.2 classification or equivalent and, at least 1 year experience working in or providing solutions into a healthcare environment.



3. There is no cognate award requirement for entry and eligible candidates may be from any domain of activity of the health services sector, including inter alia health care and social care professionals, administrative, technical support staff and solutions development providers.



4. Applicants not having the minimum formal qualification can be considered through the Recognition of Prior Learning (RPL) process to establish equivalence. Members of the programme team will be actively involved in processing applications through RPL.



5. Applications will be welcomed from international candidates who meet the minimum entry requirements. Where required, the Department of Nursing, Health Science and Integrated Care will engage with the ATU International Office to map progression from partner colleges abroad.



6. Applicants whose first language is not English are required to provide evidence of English language proficiency based on the International English Language Testing System (IELTS) or equivalent. These requirements are available from ATU/GMIT’s Admission’s office.



Additional Requirements:

For admission onto the programme, eligible candidates will be required to confirm that they have access to the following:

• Windows 10 Operating System

• Internet Explorer 11

• CPU Intel Core i5 or better

• 4 GB RAM

• Display 1440 x 900

• Administrative rights on a computing device (PC, Laptop, Tablet etc.) to download Microsoft Power BI (64-bit version) and Excel add-ins within the package

Application is closed for September 2025 entry.



Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.



For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.

1 year part-time, online delivery.



Study Hours

It is recommended that students should try to allow for 5-7 hours per week per 5 credit module to their studies. This might be broken down to allow for up to 2 hours per week for online lectures and tutorials and 4-5 hours of self guided study hours.



On-Campus Attendance: No attendance required.

Start Date: September 2025.

Careers

This programme will provide contextual skills and competencies to build, promote and manage data and information and to understand analytics in digital healthcare. Graduates will be able to identify areas within the healthcare environment where healthcare analytics can be applied. eHealth workers/digital champions are required across the full spectrum of healthcare job roles, spanning clinical, social care, informatics, and administration. There is a recognised consistent requirement for new roles in the HSE for staff in business intelligence units, informatics departments, the new National Children’s Hospital, health data mining, and health information roles.



Potential job roles:

ICT Project Manager roles

Business Intelligence & Reporting roles

eHealth and Disruptive Technologies Projects

Technical Analyst (Health Services)

IT Integration Projects Officer

Data Manager

Integration Analyst

Health Data and Information Services Roles

eHealth systems Integration Projects