MSc in Artificial Intelligence for Medicine & Medical Research
A specialized Master's programme bridging advanced machine learning with clinical and biomedical research applications.
Best for:Best for computer scientists, data scientists, mathematicians, and statisticians seeking to specialize in medical AI.
Overview
This Master's programme at University College Dublin is designed to address the growing demand for expertise at the intersection of healthcare and data science. Students will engage with a curriculum covering machine learning, artificial intelligence, systems biology, and precision medicine. The course prepares graduates to tackle complex challenges in health informatics and biomedical research through computational approaches. It is specifically tailored for individuals with backgrounds in quantitative disciplines who wish to apply their skills to the medical sector.
What you'll do
- Engage in advanced coursework covering machine learning and AI methodologies.
- Apply computational techniques to solve problems in precision medicine and systems biology.
- Develop proficiency in health informatics and connected health technologies.
- Conduct research or project work integrating data science with medical research objectives.
Requirements
Degree required: Bachelor’s degree (minimum 2H2 grade)
Degree offered: MSc
Language: English; IELTS 6.5 overall or equivalent (Cambridge, TOEFL, or Pearson)
Instruction: English
- Solid foundation in statistics and mathematics
- Good computing skills
- Basic programming proficiency
- Applicants must hold a Bachelor's degree (minimum 2H2)
- Recognition of Prior Learning (RPL) may be considered for admission or credit exemptions
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Prerequisites
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How to apply
Applications are submitted through the official University College Dublin online portal. Prospective students should review the specific programme page for detailed entry requirements and documentation instructions.
- Academic transcripts
- English language proficiency evidence
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