Artificial Intelligence for Medicine & Medical Research

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. This course combines teaching in data analytics, AI and machine learning (ML), systems biology, precision medicine, health informatics and connected health.

The programme is delivered by traditional face to face lectures, tutorials, 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.

Subjects taught

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

Entry requirements

The programme is aimed at computer scientists, data scientists, mathematicians and statisticians. We also offer the course for biologists who have good computer skills.

Entry requirements are a Bachelor’s degree (min 2H1), good programming skills, and a solid foundation in statistics/mathematics or biology.

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 (see code X903 full-time or X984 part-time).


12 months (FT) / 2 years (PT)

More details
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  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime,Part time

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