| Course Name |
Artificial Intelligence for Medicine & Medical Research |
| Course Provider |
University College Dublin |
| Course Code |
X904 |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Postgraduate Diploma (Level 9 NFQ)
More info...
|
Major |
National University of Ireland |
Level 9 NFQ |
|
| Apply To |
Course provider |
| Attendance Options |
Full time, Daytime, Blended |
| Location (Districts) |
Belfield |
| Qualification Letters |
GradDip |
| Enrolment and Start Dates Comment |
Next Intake: 2023/2024 September |
| Application Date |
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 |
| Application Weblink |
Web Page - Click Here |
| Duration |
9 months full-time. |
| Course Fee |
GradDip Artificial Intelligence for Medicine & Medical Research (X904) Full Time
EU fee per year - € 7860
nonEU fee per year - € 17970
***Fees are subject to change |
| Link to Course Fee |
Web Page - Click Here |
| Entry Requirements |
Expand+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 thr...
Hide-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.
|
| Course Content |
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 |
Expand+Stage 1 - Core
Biological Principles and Cellular OrganisationANAT40040
Machine Learning (Blended Delivery)COMP47460
Precision OncologyPATH40060
High Throughput TechnologiesPATH40080
GradDip Artificial Intelligence for Medicine & Medical Resea...
Hide-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
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| Number of Credits |
60 |
| Course Web Page |
Web Page - Click Here |
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