MSc Artificial Intelligence for Medicine & Medical Research

Graduate Taught (level 9 nfq, credits 90)

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.

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.

Modules on offer cover the following major themes of data analysis in biomedicine including:

State-of-the-art methods in AI/Machine Learning and their applications to biological and medical data
Programming and tools for AI
Tools and methods for large scale data analytics
Data visualisation
Nature and structure of biological and medical data including those produced by omics and imaging methods
Design of biological and medical research projects
Ethical and privacy issues associated with the use of medical and biological data and analysis results

Curricular information is subject to change

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Who should apply?

Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No

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.

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.

What modules can I take?

View All Modules Here

Fees, Funding and Scholarships

MSc Artificial Intelligence for Medicine & Medical Research (X984) Part Time
EU fee per year - € 11500 ^ti
nonEU fee per year - € 27520 ^ti

^tiYear Fee is Full Programme Fee charged to First Year 2024/25 Entry students only.
***Fees are subject to change

How to apply?

The following entry routes are available:

MSc Artificial Intelligence for Medicine & MedicalResearchPT (X984)

Duration

2 Years

Attend

Part Time

Deadline

Rolling*

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* Courses will remain open until such time as all places have been filled, therefore early application is advised

The programme major is open through the UCD online applications system www.ucd.ie/apply