Artificial Intelligence for Medicine & Medical Research

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.

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.

Entry requirements

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


12 months full-time.

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  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

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