Pharmacy & Biomolecular Sciences - Technologies & Analytics in Precision Medicine
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, from RCSI's School of Pharmacy and Biomolecular Sciences, 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, connected health, and innovation. With a core focus on precision medicine combined with connected health and analytics you'll explore 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.
The programme 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 Postgraduate Diploma in Technologies and Analytics in Precision Medicine is a 60 ECTS fully accredited one-year full-time programme or two-year part-time programme from September.
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 science/statistical, including computer science.
Subjects taught
What you will learn
Block 1
Genetics, Genomics and Precision Medicine
Block 2
Data Analytics and Computational Biology
Block 3
Connected Healthcare
Block 4
Innovation and Leadership
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 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 Opens in new windowInternational 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
Duration
1 year
Mode of delivery
On campus - Full-time
Enrolment dates
Next start date September 2025
Post Course Info
You can choose to continue on to build up to the MSc Award (90 ECTS credits) by completing a research project.
More details
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Qualification letters
PgDip
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Qualifications
Postgraduate Diploma (Level 9 NFQ)
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Attendance type
Daytime,Full time
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Course provider