Pharmacy & Biomolecular Sciences - Technologies & Analytics in Precision Medicine

The health sector in Ireland is facing into a new era. Integrating areas such as data science, data analysis, omics, bioinformatics, computational biology, artificial intelligence and machine-learning to create a future of ‘connected healthcare’.



This Masters of Science (MSc) course has a core focus on precision medicine and data analytics and how to analyse healthcare data.



Study across five key areas including precision medicine, genetics, data analytics, connected health, and innovation. The primary emphasis will be on precision medicine combined with connected health and data analytics. You'll learn how to enable future growth in the healthcare and the (bio) pharmaceutical industry and gain the skills you need to begin or advance your career in this exciting new field.



This biological data analytics focused course, from the RCSI School of Pharmacy and Biomolecular Sciences, is delivered through:



• hybrid lecture models

• practical sessions

• workshops/tutorials

• round table discussions



The MSc also includes self-directed learning to create a better learning environment for our students and a research project module. Expert tutors teach this masters course as a full-time 12-month programme.



This course is a Level 9 award on the Irish National Framework of Qualifications.



Suitable for

This programme is designed for those who hold an undergraduate healthcare degree (pharmacy or medicine) or a primary degree in biological, chemical or mathematical/statistical science, including computer science.

Module 1: Genetics, Genomics and Precision Medicine

Module 2: Data Analytics and Computational Biology

Module 3: Connected Healthcare

Module 4: Innovation and Leadership

Module 5: Research Project

To be eligible for this Precision Medicine MSc, you should have successfully completed an undergraduate healthcare (pharmacy or medicine) degree or a primary degree programme (minimum of a 2.1 honours or equivalent) in a biological, chemical or mathematical/statistical science (including computer science).



In addition, if you hold a primary degree, with a second-class grade (H2.2) in a biological, chemical or mathematical/statistical science (including computer science) and with industrial experience you will be considered.



Suitable applicants will be invited to attend a short online interview prior to any offer of a place on the programme. This interview is to determine your suitability and motivation for undertaking the programme, and to provide you with an opportunity to ask questions about the course.



If you successfully secure a place on the programme you can apply for a student visa. RCSI can provide a visa letter to support an application for a student visa.



Please note

You must liaise with immigration services independently to secure your own visa and ensure you undertake this in a timely manner, so your visa is secured for commencement of the programme.



You can be in full-time employment while completing the one-year full-time or the two-year part-time programme as part of the flexible and blended learning approach.



English language requirement exceptions

If English is not your native language, an English language qualification is required. English language qualifications include a minimum overall score of 6.5 in the International English Language Testing System (IELTS), as per RCSI requirements.



More information about English language requirements for Postgraduate study at RCSI is available at https://www.rcsi.com/dublin/postgraduate/policies-and-guidelines/english-language-requirements

How to apply

Applications for the MSc in Technologies and Analytics in Precision Medicine programme are now open for September 2026.



Application deadlines:

Applications are assessed on a rolling basis and applications will close once they are filled. We advise you to apply as early as possible to avoid disappointment.

1 year. Mode of delivery In person - Full-time.

Next start date: September 2026.

Progression options

Graduates of this programme will be equip to become leaders in the health and bio-pharmaceutical industries of the future. As a biological data scientist, you will be in a position to apply for numerous roles across the bio-pharmaceutical industry, healthcare, clinical, and academic environments as well as healthcare sectors, including:



• Computational biologist

• Bioinformatician/bioinformatics scientist

• Life science consultant

• Health data analyst

• Connected health device developer

• Clinical project statistician

• Clinical trial protocol manager/designer



In addition, this course will further enhance students' academic profiles and make them highly competitive for PhD applications across national and international university/industry-based research programmes.