MSc in Technologies and Analytics in Precision Medicine

€9,000 (EU)/€25,000 (Non-EU)

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.

€9,000 (EU)/€25,000 (Non-EU)

Award

Masters

Duration

1 year

Mode of delivery

On campus - Full-time

Credits

90 ECTS

Next start date

September 2025

RCSI campus open event

Do you want to become a biological data scientist? Join us at our Dublin city centre campus on Saturday, 1 February 2025 at 12pm to learn more about the new and exciting discipline of precision medicine.

AI and machine learning webinar

Dr Sudipto Das will host an online talk on artificial intelligence and machine learning and how it intersects with the new and growing area of precision medicine on Wednesday, 15 January 2025 at 8pm.

Learn more

About

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 full-time 12-month programme. A part-time version of this course exists offered over 24 months.

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 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

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

What our students say

"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."

Ava Clarke, MSc TAPM student, Class of 2023

"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."

Fiona Payne, MSc student

"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."

Rebecca Williams, Full-time MSc student

Watch our introduction webinar

Watch the video:

Find out more about the origin and structure of this programme with this introduction from RCSI faculty.

HCI Pillar 3 programme overview

Watch the video:

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

Learning outcomes

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 languages including R and Python to analyse big data generated from a healthcare setting.

Modules

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.

^{This project has been supported by the Higher Education Authority under the Human Capital Initiative, Pillar 3. Grant agreement: 17796884 'Enabling Future Pharma’.} ^{We have collaborated with industry partners Congenica Ltd, Novartis Ireland, Aerogen, S3 Connected Health, Inflection Biosciences, Phion Therapeutics and Almac in the development of the grant application that has led to this programme.}

Progression options

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.

Accreditation and recognition

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

Entry requirements

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.

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 here.

Fees and funding

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. Full details on fee payment will be emailed to you shortly before the commencement of your programme.
The MSc TAPM 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.

View our Postgraduate fees policy.