Artificial Intelligence for Medicine & Medical Research
GradDip Artificial Intelligence for Medicine & Medical Research
Graduate Taught (level 9 nfq, credits 60)
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Subjects taught
Stage 1 - Core
Biological Principles and Cellular OrganisationANAT40040
Machine Learning (Blended Delivery)COMP47460
Precision OncologyPATH40060
High Throughput TechnologiesPATH40080
GradDip Artificial Intelligence for Medicine & Medical Research
Graduate Taught
Please click below to view modules.
Stage 1 - Option
BioinformaticsCOMP40400
Data Science in PythonCOMP41680
Advanced Machine LearningCOMP47590
Deep LearningCOMP47650
Digital Media Ethics (formerly Information Ethics)IS30370
Medical Research Design, Regulations & EthicsMDCS42240
Professional Skills and Career DevelopmentMDSA40280
Research-based internshipMEIN40390
Data Science and Statistics for Human GenomicsPHPS40870
Clin Info and Decision SupportPHPS41040
Introduction to BiostatisticsPHPS41150
Statistics for Human GenomicsPHPS41180
Data Programming with RSTAT40620
Data Prog with Python (online)STAT40800
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 & MedicalResearch 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
Duration
9 months full-time.