- Trains graduates in medical and allied professions and those with an information technology background in healthcare informatics
- Enables students to develop the knowledge and skills necessary to understand and utilise tools of medical informatics
- Flexible approach to teaching and learning to accommodate busy clinicians
This course is available through the following application route(s)
Information management and the utilisation of associated technology is becoming a major activity of the healthcare professional. This course is directed to medical practitioners, those in allied professions and also at those working in ICT areas in the health sector.
- Trains graduates in medical and allied professions and those with an information technology background in healthcare informatics.
- Enables students to develop the knowledge and skills necessary to understand and utilise tools of medical informatics.
- Flexible approach to teaching and learning to accommodate busy clinicians.
- Currently funded under the National Development Plan, Graduate Skills Conversion Programme.
About This Course
The course is primarily aimed at existing and future employees in the health service and IT industry sector who are looking to move into the area of Healthcare Informatics, expand their current knowledge in the area, or get more involved in health IT implementation projects in their respective work locations.
The assignments for the various modules are primarily focused on work-based topics, with these assignments being undertaken primarily as group or team work.
This team-based process mirrors the actuality of IT systems implementation projects or health data / business intelligence analysis in this sector.
Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.
Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| Trimester | Credits | |||
|---|---|---|---|---|
Stage 1 Core Modules |
MDCS42240 | Medical Research Design, Regulations & Ethics | Autumn | 5 |
Stage 1 Core Modules |
MEIN40050 | Medical Records | Autumn | 5 |
Stage 1 Core Modules |
PHPS41040 | Clin Info and Decision Support | Autumn | 10 |
Stage 1 Core Modules |
MEIN40090 | Interoperability, Standards, Introduction to XML | Spring | 5 |
Stage 1 Core Modules |
MEIN40410 | Intro to AI in Healthcare | Spring | 5 |
Stage 1 Core Modules |
PHPS41050 | Info Governance in Health | Spring | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
COMP40370 | Data Mining | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
COMP40610 | Information Visualisation | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
PHTY41230 | Digital Health Technologies: Integration and Application of Medical and Consumer Devices | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
STAT40730 | Data Programming with R (Online) | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
MEIN40230 | Personalized Medicine | Spring | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
PHPS41070 | Info Systems Implementation | Spring | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
COMP47770 | Health Data & Analytics | Summer | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
MEIN40330 | AI for Personalised Medicine | Summer | 10 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
PATH40050 | AI & Digital Pathology: Theory & Practice | Summer | 10 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
PHPS41080 | Corporate Info Sys in Health | Summer | 5 |
Stage 1 Options - A) Min 0 of: Select modules to the total value of 25 ECTS |
RDGY41710 | AI For Medical Image Analysis | Summer | 10 |
Applicants will normally hold a NQF Level 8 academic award.
Where an applicant does not hold a Level 8 award, consideration will be given to those with relevant and appropriate qualifications and experience working in or closely with the health system. Such candidates may be interviewed to ensure applicability to the programme prior to acceptance.
Candidates who may enter via this route would typically be those currently employed but looking to change the focus of their career into the Health Informatics arena, or those that have health experience but are currently unemployed and looking to re-enter the workforce in the Healthcare Informatics field.
You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information.
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes
The course is primarily aimed at existing and future employees in the health service and IT industry sector who are looking to move into the area of Health Informatics, expand their current knowledge in the area, or get more involved in health IT implementation projects in their respective work locations. The assignments for the various modules are primarily focused on work-based topics, with these assignments being undertaken primarily as group or team work. This team-based process mirrors the actuality of IT systems implementation projects or health data / business intelligence analysis in this sector.
How to Apply
General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Grad Dip Healthcare Informatics Full-Time:
| ROWCLASS | Apply to | Application Type | ||
|---|---|---|---|---|
| showAudience-audienceEU showAudience-audienceInt | X293 Grad Dip Healthcare Informatics Full-Time Graduate Diploma |
Full-Time Commencing September 2024 |
Graduate Taught | Closed |
| showAudience-audienceEU showAudience-audienceInt | X293 Grad Dip Healthcare Informatics Full-Time Graduate Diploma |
Full-Time Commencing September 2025 |
Graduate Taught | Apply |
* you can change options at the top of the page