Artificial Intelligence for Medicine & Medical Research

Stage 1 - Core

Biological Principles and Cellular OrganisationANAT40040

Precision OncologyPATH40060

High Throughput TechnologiesPATH40080



Stage 1 - Option

BioinformaticsCOMP40400

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 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.

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.

MODE OF DELIVERY: Blended

Next Intake: 2024/2025 September.