MSc Artificial Intelligence for Medicine & Medical Research Full-time

University College Dublin

Ireland, Dublin

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University College Dublin

Ireland , Dublin

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

Mix

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines25-Sep-2026

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Tuition Fee

EUR 27,520 / year

Next Intake 25-Sep-2026

MSc Artificial Intelligence for Medicine & Medical Research Full-time

About

This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, drug development and pharmaceutical research. In the era of genomic medicine, AI will transform the way we diagnose and treat diseases, reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes.

This course combines teaching in AI and machine learning (ML), precision medicine, systems biology, bioinformatics and computational biology. The programme consists of (i) introductory modules that aim to familiarise students with the basic concepts of biology and medicine through examples and the analysis of relevant data sets and (ii) advanced modules focusing on AI/ML applications in omics/image analysis and include project work.

What will I learn?

On successful completion of the programme students will be able to:

Demonstrate a comprehensive knowledge and understanding of the current state-of-the-art methods in AI/ML and their possible applications to biological and medical data.
Understand the research questions and possible applications in these fields that can be solved using AI/ML.
Understand the nature and structure of biological and medical data including those produced by omics (transcriptomics, genomics, proteomics) and imaging methods.
Understand the design of biological and medical research projects.
Demonstrate a knowledge and understanding of the ethical and privacy issues associated with the use of medical and biological data.
Apply AI/ML applications that can drive the discovery and development of new and highly innovative biomedical and biotech methods and products.
Demonstrate skills in problem-solving and incorporating critical thinking and decision-making into a variety of clinical, biopharmaceutical, and biological research applications and environments.
Demonstrate the analytical and technical skills required for the analysis and interpretation of different data types in the exploitation of scientific discovery and development in industrial, academic and clinical settings.
Work with data from biological and biomedical databases and e-health information systems.
Incorporate ethical and data governance considerations into the analysis of patient and research data that satisfy concurrent data protection frameworks in the era of GDPR.

Requirements

Entry Requirements

The programme is aimed at computer scientists, data scientists, mathematicians and statisticians.

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

You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.

English Program Requirements

International English Language Testing System (IELTS)

Taught Master's: A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band on the Academic Version. The non-academic version is not accepted.

Research Programmes: A minimum overall score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version. The non-academic version is not accepted.

IELTS Indicator: A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band. This test will be accepted for 2022/23 and 2023/24 intake.

Test of English as a Foreign Language (TOEFL)

Taught Master's: A minimum score of 100 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section.

Research Programmes: A minimum score of 90 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section.

TOEFL iBT Home: A minimum score of 100 is required with a score of at least 20 in each section.

Duolingo Test of English (DET)

UCD has approved the use of the Duolingo Test of English (DET) for the 2024/25 intake.
An overall score of 130 will be accepted with no section below 110.

Please note that this does not apply to the CEMS MiM / MSc in International Management. In the case of the CEMS MiM the Duolingo English Test will not be accepted.

Career

This programme equips students with the fundamental skills to work in a variety of roles in the biopharmaceutical industry, healthcare sector or biomedical research including AI/ML engineer, data scientist, bioinformatics specialist. In addition, this course will enhance the academic profile and practical skills of students, making them highly competitive for PhD programmes in universities and research departments in biopharmaceutical companies.

Recent career destinations of our graduates include Novartis, Optum and other employers. Multiple graduates continued their education in PhD programmes and are now part of UCD, other Irish or international universities, including the Icahn School of Medicine at Mount Sinai and Harvard Medical School in the USA.