Healthcare Analytics - Mayo
This programme will provide students with the ability to understand, use and manipulate data through analytics skills and competency and enable them to champion healthcare analytics as a driver of quality within speciality areas of discipline or interest. Data analytics capacity and capability will be increasingly required with the volume of data generated by digital healthcare.
| Award Name | Special Purpose Certificate (Level 9 NFQ) |
|---|---|
| NFQ Classification | Special Purpose |
| Awarding Body | Atlantic Technological University |
| NFQ Level | Level 9 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Special Purpose Certificate (Level 9 NFQ) | Special Purpose | Atlantic Technological University | Level 9 NFQ |
Duration
1 year part-time, online.
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.
Entry Requirements
Applicants require 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. 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
Further information
Total Fees €2520
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
Examination & Assessment
100% continuous assessment.
Course Coordinator: Richard Holmes: richard.holmes@atu.ie
Student Advisor: learn.galwaymayo@atu.ie