MSc in Technologies and Analytics in Precision Medicine
€12,000 (EU)/€25,000 (non-EU)
Want to become a biological data scientist? Apply for RCSI’s cutting-edge part-time masters and study precision medicine, computational biology, genetics and genomics, data analytics, connected health, learn to code and so much more.
Masters
2 years
On campus - Part-time
90 ECTS
September 2025
About
As a biological data scientist, you’ll be involved in the cutting-edge field of precision medicine. This exciting new discipline involves optimising therapeutic benefits by personalising treatment for patients through genetic profiling and in parallel enhancing diagnosis across various disease types.
The health sector is facing into a new era as it looks to incorporate the areas of data science, omics, bioinformatics, computational biology, artificial intelligence and machine-learning to create a future of ‘connected healthcare’.
The programme 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. With a core focus on precision medicine combined with connected health and analytics you'll explore how to enable future growth in healthcare and the (bio) pharmaceutical industry, while gaining the skills you need to begin/advance your career in this exciting new discipline.
This programme, from the RCSI School of Pharmacy and Biomolecular Sciences, is delivered through face-to-face and online lectures, practical sessions, workshops/tutorials, round table discussions and self-directed learning in order to foster an enhanced learning environment for our students. The MSc includes a research project module.
It is offered as a part-time-time 24-month programme. A full-time version of this course exists offered over 12 months.
Check out a recent article in The Irish Times about this exciting programme.
MSc in Technologies and Analytics in Precision Medicine brochure PDF | 1802.1 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 health care
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 hold 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
"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."
"I'd recommend this to anyone who is passionate about this field and looking for a challenging yet rewarding experience...an excellent opportunity to gain new skills to succeed in a rapidly growing and evolving field."
Watch our introduction webinar
Find out more about the origin and structure of this programme with this introduction from RCSI faculty.
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 email mtapm@rcsi.ie.
Course information
- 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 how to use programming language including R and Python to analysis big data generated from a healthcare setting.
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 programme will further enhance your academic profile and therefore make you highly competitive for PhD applications across both national and international research/universities.
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
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.
Suitably qualified applicants will be invited to attend a short online interview prior to any offer of a place on the programme. The purpose of the interview is to determine your suitability and motivation for undertaking the programme and to provide you with an opportunity to ask questions in relation to 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.
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.
Annual EU fees:
Two-year part-time: €6,000 per year.
Annual non-EU fees:
Two-year part-time: €12,500 per year.
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.
Full details on fee payment will be emailed to you shortly before the commencement of your programme.
Fee payment
The following fee payment process applies to applicants. Incoming students: a minimum of 50% of fees are due prior to registration, with the balance due by 31 January.
The MScTAPM programme is approved under the SUSI Postgraduate Course Grant Scheme. Students who qualify for the SUSI grant may apply for this fee support.
If you meet the criteria for a non-EU student please contact us for more information on fee payments.
How to apply
Applications for the academic year 2025/26 are now open.
Applications will close on Friday, 15 August 2025 for the September 2025 intake.
For any queries, please email mtapm@rcsi.ie.
Part Time