The programme is divided into (i) introductory modules (eight mandatory modules and seven optional modules) leading to a graduate diploma (60 ECTS); and (ii) three advanced modules leading to a Master of Science, Medicine degree (90 ECTS).
The introductory modules aim to familiarise students with the basic concepts of biology and medicine through examples and the analysis of relevant data sets. The advanced modules will focus on AI applications and include project work.
This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, pharmaceutical research, and remote sensing and connected health. In the era of genomic medicine AI will transform the way we diagnose and treat diseases reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. It combines teaching in data analytics, machine learning/AI, systems biology, precision medicine, health informatics and connected health. We cover the following major themes:
This course is eligible for UCD Global Excellence Scholarships. For more information on these scholarships and application details visit this link.
Applications are currently being accepted and can be made via the UCD applications page.
This programme is aimed at computer scientists, data scientists, mathematicians and statisticians. Entry requirements are a bachelor’s degree (minimum2H2), good computing skills, basic programming skills, and a solid foundation in statistics and mathematics.
This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, pharmaceutical research, and remote sensing and connected health. In the era of genomic medicine AI will transform the way we diagnose and treat diseases reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. It combines teaching in data analytics, machine learning/AI, systems biology, precision medicine, health informatics and connected health.
On successful completion of the programme students will be able to:
The programme is delivered by traditional face to face lectures, tutorials, and lab-based sessions, together with online, synchronous and asynchronous. Teaching. Modes of delivery will vary across modules and face to face attendance, on campus, will be required on a regular basis.
A range of assessment strategies including, written assignments, practical assessments, written examinations, reports, and research projects will be employed across the modules.
The programme is aimed at computer scientists, data scientists, mathematicians and statisticians.
Entry requirements are a Bachelor’s degree (min 2H2), good computing skills, basic programming skills, and a solid foundation in statistics and mathematics.
If English is not the applicant’s native language, unless the primary degree was read through English medium in an English-speaking country, an English language qualification is required. English language qualifications include a minimum score of 6.5, overall, in the International English Language Testing System (IELTS). Other evidence of proficiency in English may be accepted such as the Cambridge Certificate, TOEFL or Pearson’s Test of English, as per the standard UCD requirements
The programme major is open through the UCD online applications system www.ucd.ie/apply
This course is eligible for UCD Global Excellence Scholarships. For more information on these scholarships and application details visit this link.
As programmes fees are subject to change, please consult the Fees & Grants Office website for the relevant fee.
Programme Director | Programme Administrator |
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Dr Vadim Zhernovkov |
Postgraduate Medicine Administrator |