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The range of Health Data Analytics course options cover areas such as health research, health systems, health statistics, informatics, genetics, clinical trials, systems implementation, health policy, research methodologies and techniques as well as technologies and principles of operation of medical devices.
Listen to Dr Carla Perrotta from UCD SPHPSS discussing how digitalization of health care has transformed the health sector, the biggest challenges, key trends for the future and how the Advance Centre is addressing the digital skills needs.
"Over the next couple of years, I believe we’ll see solutions developed to improve data governance and the security of individual health data, as well as -we hope- improvements in how digital systems speak to each other.
In many areas of the digitalization of healthcare, the future is today."
delivered by UCD, ATU Sligo and TU Dublin
Our Health Data Analytics programmes on offer, cover a broad range of areas such as Health Research, Health Systems, Health Statistics, Informatics, Genetics, Clinical Trials, Systems implementation, Health Policy, Research Methodologies & Techniques as well as technologies and principles of operation of medical devices.
Provides a Level 7 Certificate of Science qualification in Health Data Analytics affording an advanced level grounding in the applications of health data analytics.
Technologies & principles of operation of medical devices - imaging systems, critical care devices & wearable sensors.
This micro-credential covers methodologies used (narrative, systematic, scoping, and rapid reviews, meta-analysis, literature maps & frameworks.
This micro-credential covers essential and fundamental principles of statistics as applied in biology, medicine, and related fields.
This micro-credential concentrates on more advanced techniques employed in the analysis of epidemiological & medical research.
This micro-credential covers principles of genetics and to genetic epidemiologic study design, with focus to case studies in human medical genetics.
This micro-credential covers principles of clinical research with particular emphasis on interventional trials.
This micro-credential covers methodologies used (narrative, systematic, scoping, and rapid reviews, meta-analysis, literature maps & frameworks).
Overview of how it pertains to Health. Covering topics from Data Protection & Security to Public Awareness & Data Usage.
Overview of the methodologies used to specify, procure, implement, & realise the benefits of IT solutions in healthcare.
Basic principles of research design for quantitative studies in epidemiology
Qualitative & mixed methods research data in a variety of health, educational & community settings
An introduction to various healthcare system characteristics, functionality, performance and associated societal outcomes.
This course introduces the student to statistical techniques for analysing health related data.
Presents the student with the framework and analytical methods economists use to study the health economy and address key policy issues.
Gives participants the skills in maintaining components of health information systems consistent with the medical, administrative, ethical, legal, accreditation, and regulatory requirements of the healthcare delivery system.
Professionals working in the pharmaceutical or medical device industry can learn a different set of skills preparing them to work in the pharmaceutical industry or government bodies (HIQA), and conduct a health economic evaluation.
The program offers a series of micro-credential developed for new or experienced learners in evidence synthesis, evidence-based practice and advanced systematic reviews including the development and implementation of clinical guidelines.
Evidence Based Practitioners combine their clinical expertise with best research evidence to present management options to their patients/clients. We currently offer 20% discount for UCD Alumni for 2023.24.
Introduces how information technology is applied in healthcare services and gives students an understanding of the integration of technology, people and information from a health perspective.
Introduces students to the concepts of eHealth, mHealth and related concepts in the use of information and communication technologies in healthcare.
Provides the students with the ability to apply appropriate advanced statistical techniques to data sets gathered during project work and to publicly available health related datasets.
This module aims to provide a theoretical and practical introduction to Big Data, its analysis and relevant challenges associated with Big Data.
The learner will investigate a variety of visualisation concepts and tools for analysing data sets. The student will gain an understanding of the core skills in data visualisation and the tools available.
This module aims to introduce basic concepts, principles, methods and techniques of Data Mining and its applications.
This module will introduce Big Data, it’s characteristics and address the key concepts underlying the Big Data in Health.
Learn from 3 of Ireland’s leading universities with world renowned academic staff.
Our courses and modules range from levels 6 to 9 on the NFQ framework.
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Select from 11 key themes across Digital Transformation.
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Our corporate network is innovative and expansive across many sectors.
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Choose from a range of online, on-campus and blended learning modes designed to suit your needs.
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