Look back on our Webinar event to find out all about this programme and the supports available Here
This three year, undergraduate, Level 7 degree programme delivered fully online through blended learning techniques, will equip students with an applied understanding of health informatics, eHealth concepts and applications, health statistics and data programming, medical data management and systems evaluation; applied epidemiology; health economics and predictive modelling; as well as a range of other subjects to facilitate a broader understanding of healthcare management, delivery and audit.
Studying an online undergraduate programme in Health and Medical Information Science means learning a huge range of employable skills across the wider areas of Science, Health and Medical Informatics, Information and Communication Technology (ICT), Economics, Public Health, Philosophy, Programming and Data Analysis.
The modules across the three years will be delivered innovatively through various modes of online learning techniques. Course materials will be linked to real-world problems in the area of Healthcare delivery and students will learn how to manage and provide evidence-based solutions.
Graduates from this programme will have a strong grounding in all areas of healthcare systems delivery, management, audit and evaluation, governance and regulatory principles. They will also have the data analysis skills necessary to critically appraise areas of process inefficiency and develop alternative frameworks for enhancing outcomes. These skills will be needed globally as the current COVID-19 pandemic will necessitate large-scale systems audit and framework development to combat future potential threats to Public Health.
First Year modules consist of the foundation blocks of health science, mathematics, statistics & computing.
Students begin to specialise in practical data and information management systems and skills whilst developing the knowledge of health and science
The final year allows the student to explore and deepen their knowledge in relevant areas of advanced science and statistical datamanagement methods. The year culminates with a health data project.
Prospective students will be expected to log on to live lectures and tutorials daily. Live attendance and recorded lecture/ tutorial viewing will be monitored to facilitate development of effective student engagement strategies. The average weekly contact time with lecturers will be 16 hours per week per semester.
Entry requirements for CAO courses at ATU Sligo are available for download below:
- Download Entry requirements for just Level 7 programmes
- Download Entry requirements for all programmes
Leaving Certificate Entry requirements
- Minimum Subjects - 5O6/H7
- English or Irish - O6/H7
- Maths F2/O6/H7
We have developed a free maths MOOC course to help students who might traditionally have struggled or have any concerns about maths. In addition, we have a full maths support team that can support our students in one-to-one or group settings. Our team would be delighted to support you if you need us at any stage during your studies.
The design of this programme is geared towards developing and professional skills and technical qualities to meet the current and future needs of the healthcare sector and its multi-faceted health information system.
Graduates from this programme will be able to work in a variety of settings including hospitals, long-term healthcare facilities, primary care facilities, home health agencies, insurance companies, government agencies (i.e. HSE. TULSA, HIQA, NCPE), information technology vendors, and pharmaceutical, medical devices and consultancy companies.
This programme offers a Level 7 qualification in Health and Medical Information Science. The development of Level 8 add-on opportunities involving a substantial work placement are underway. These will include various specialisations in the area of Health Informatics, Big Data Analytics and Health Technology Assessment.
If a 3 year degree is not an option for you, then consider a two year Higher Certificate in Health and Medical Information Science. This is available for direct entry, not through the CAO. You can find out more information here
“This course gave me a really solid introduction to the area of health care data analysis. The syllabus covered established statistical techniques as well newer technologies and concepts such as data mining, big data and healthcare technology assessment. The course would suit people working in healthcare who are looking to make sense of the large datasets that are becoming ubiquitous in modern healthcare” Mike, Medical Physicist (2020-21)
Did you know?
ATU Sligo was one of the first institutes to offer distance learning and is now leading the way with over half our students (4,500 ) studying fully online.
Attending lectures is made easy with our online learning environment. Log into live lectures, engage in discussions, live chat and interact with fellow students and lecturers. Unable to attend? Recorded sessions are available within hours, so students can watch back at a time that suits.
For more information on this programme contact programme chairs:
Dr. Richéal Burns, Lecturer in Health Information Technology, ATU Sligo [Email]
Mr. Padraig Mc Gourty, Lecturer in Statistics and Information Technology, ATU Sligo [Email]
|Basic Computing for Health Sciences||05|
|Essential Skills in Health Science||10|
|Introduction to Statistics in Health Science||05|
|Introduction to Health Ethics||05|
|Health Promotion Practice||10|
|Introduction to Health Informatics||05|
|Human Anatomy And Physiology||05|
|Spreadsheets: Skills and Techniques in Health Sciences||05|
|Information Management Systems||05|
|Applied Health Statistics||05|
|Fundamentals of Health Economics||05|
|Biology of Disease||05|
|Introduction to eHealth||10|
|Big Data in Health||05|
|Advanced Statistical Methods for Health Research||10|
|Applications in Big Data||05|
|Diagnostic Approaches in Healthcare||05|
|Health Ergonomics and Integration||05|
|Decision Analytic Modelling||10|
|Legal and Regulatory Practices in Health||05|
|Health Data Project||10|