Artificial Intelligence for Medicine & Medical Research

Subjects taught

Stage 1 - Core
Biological Principles and Cellular OrganisationANAT40040
Precision OncologyPATH40060
High Throughput TechnologiesPATH40080

Stage 1 - Option
Data Science in PythonCOMP41680
Machine Learning (Blended Delivery)COMP47460
Advanced Machine LearningCOMP47590
Deep LearningCOMP47650
Information Visualisation (Blended Delivery)COMP47970
Digital Media Ethics (formerly Information Ethics)IS30370
Clinical & Translational ResearchMDCS41630
Medical Research Design, Regulations & EthicsMDCS42240
Professional Skills and Career DevelopmentMDSA40280
Entrepreneurship in Prec. MedMDSA40310
Research-based internshipMEIN40390
Clin Info and Decision SupportPHPS41040
Introduction to BiostatisticsPHPS41150
Statistics for Human GenomicsPHPS41180
Data Programming with RSTAT30340
Data Programming with R (Online)STAT40730
Data Prog with Python (online)STAT40800
Stat Network AnalysisSTAT41010

Entry requirements

Entry requirements are a Bachelor’s degree (min 2H2), good computing skills, basic programming skills, and a sound 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.

Application dates

The following entry routes are available:

GD Artificial Intelligence for Medicine & Medical Research FT (X904)
Duration 9 Months
Attend Full Time
Deadline Rolling*

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


9 months full-time.

Enrolment dates

Next Intake: 2024/2025 September.

More details
  • Qualification letters


  • Qualifications

    Postgraduate Diploma (Level 9 NFQ)

  • Attendance type

    Full time,Daytime,Blended

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    Course provider