Pharmacy & Biomolecular Sciences - Technologies & Analytics in Precision Medicine

Increase your systematic understanding and critical awareness of key emerging therapeutic technologies on the PgCert in Technologies and Analytics in Precision Medicine from RCSI School of Pharmacy and Biomolecular Sciences.



As a biological data scientist, you will 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 key areas including precision medicine, genetics, data analytics, and connected health. With a core focus on precision medicine combined with connected health and analytics you'll be supported to gain the skills you need to begin/advance your career in this exciting new discipline.



The programme will be delivered in a blended learning environment and underpinned by a small group, problem-based and peer learning ethos. It will also incorporate active learning techniques with a mix of team-based and individual-focused projects and a significant practical focus with a view to ensuring workplace readiness. The Postgraduate Certificate in Technologies and Analytics in Precision Medicine is a 30 ECTS fully accredited two-year part-time 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.

What you will learn



Block 1

Genetics, Genomics and precision Medicine



Block 2

Data Analytics and Computational Biology



Block 3

Connected Healthcare

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 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 at https://www.rcsi.com/dublin/postgraduate/policies-and-guidelines/english-language-requirements

2 years



Mode of delivery

On campus - Part-time

Next start date September 2025

You can choose to continue on to build up to the MSc Award (90 ECTS credits).