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.



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.

What will I study?

Modules:

Statistics for Healthcare Analytics

Healthcare Analytics: Tools and Practices

Connected Health

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.



Recognition of Prior Learning: Yes.

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.