MSc in Technologies and Analytics in Precision Medicine
€9,000 (EU)/€25,000 (Non-EU)
As a biological data scientist, you'll work in the precision medicine field, which personalises treatments for patients using genetic profiling and improves diagnosis for different diseases.
Masters
1 year
In person - Full-time
90 ECTS
September 2025
About
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. We also offer a part-time version of this course over 24 months.
This course is a Level 9 award on the Irish National Framework of Qualifications.
Check out a recent article in The Irish Times about this exciting programme.
MSc in Technologies and Analytics in Precision Medicine brochure PDF | 1240 KB
Develop advanced knowledge in the areas of genetics/genomics and precision medicine
Learn how to code and use programming language including R and Python to analyse big data generated from a healthcare setting
Understand how cutting edge connected health technologies and data are improving healthcare
Consider applications of artificial intelligence and machine learning in healthcare
Explore contemporary societal issues and assess innovative and leadership solutions
Apply theory to practice and undertake an original research project
Suitable for
This programme is designed for those who have an undergraduate healthcare degree (pharmacy or medicine) or a primary degree in biological, chemical or mathematical/statistical science, including computer science.
What you will learn
What our students say
Testimonial
"My new role sees me assist in the design and development of digital health solutions ... both the job as well as the skills necessary can be attributed 100% to the programme. Without it, this career path would not have been possible ..."
"In my new role as a clinical scientist, it’s so interesting to see how precision medicine can be applied, even at the diagnostic stage. The skills I gained helped me navigate through the competitive job market."
"Theory and practice are combined, ensuring graduates are ready to progress their careers. The great rapport between students and staff, as well as the compelling content, make it a really enjoyable experience."
"The way in which the course content is delivered is exceptional as we have a mix of classes, workshops with professionals in the various fields, case studies and computer labs."
Watch our introduction webinar
Find out more about this programme with an introduction from RCSI's expert faculty in bioinformatics, data analytics and precision medicine.
HCI Pillar 3 programme overview
Discover the human capital initiative (HCI), designed to bring higher education and enterprise closer together.
Register your interest
For more information about this course, please fill out the form below.
Course information
During this Precision Medicine MSc you will:
- Develop advanced knowledge in the areas of genetics/genomics and precision medicine.
- Develop core skills in innovation and leadership.
- Understand how cutting-edge connected health technologies and data are improving healthcare.
- Learn to program and analyse big data from healthcare settings.
Block 1: Genetics, Genomics and Precision Medicine
- Human Genetics and Genomics/Omics Technologies.
- Concepts of Precision Medicine.
- Applications of Precision Medicine.
Block 2: Data Analytics and Computational Biology
- Bioinformatics and Biostatistics.
- Computational Biology 1.
- Computational Biology 2.
- Advanced Statistical methods.
Block 3: Connected Healthcare
- Artificial Intelligence and Machine Learning in the Healthcare Setting.
- Connected Healthcare.
- Internet of Medical Things.
Block 4: Innovation and Leadership
- Innovation and Leadership.
- Contemporary Issues in Society.
Block 5: Research Project
- 12-week industry or academic research project.
Upon graduation you will be in a position to apply for roles such as, but not limited to, biological data scientist, computational biologists, bioinformatician/bioinformatics scientist across the bio-pharmaceutical industry. In addition, this master’s programme will enhance your academic profile and therefore make you highly competitive for PhD applications.
We are proud to be a recognised University of the National University of Ireland (NUI).
Recognition by Ministries and bodies in other jurisdictions must be determined by the individual applicants.
Admissions
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.
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 here.
EU fees: €9,000
Non-EU fees: €25,000 (if student is self-funded there is a €7,000 competitive scholarship available)
Please note:
- Fees are subject to annual review.
- Your annual fees include the €45 NUI fee.
- There is a non-refundable online application fee of €50.
- Fees can be paid by bank transfer, cheque (made payable to ‘RCSI’) or bank giro.
- The MSc in Technologies and Analytics in Precision Medicine programme is approved under the SUSI Postgraduate Course Grant Scheme. Students who qualify for the SUSI grant may apply for this fee support.
Fee payment
The following fee payment process applies to applicants for September 2025.
- Deposit: Incoming students must pay a €1,000 deposit within four weeks of their official offer to obtain their place on the Masters programme.
- A minimum of 50% of the remaining fee is due prior to registration, with the balance due by 31 January 2026.
- If you meet the criteria for a non-EU student please contact us for more information on fee payments.
How to apply
All applications are currently closed.
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.