Pharmacy & Biomolecular Sciences - Technologies & Analytics in Precision Medicine

The overall teaching and learning strategy for the programme is designed to be flexible, accessible and responsive so that students can access quality, evidence-based learning and professional development.

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.

For any queries, please email

Subjects taught


Block 1: Genetics, Genomics and Precision Medicine
Human Genetics and Genomics/Omics Technologies
Concepts of Precision Medicine

Block 2: Data Analytics and Computational Biology
Bioinformatics and Biostatistics
Computational Biology 1

Block 3: Connected Healthcare
Artificial Intelligence and Machine Learning in the Healthcare Setting
Connected Healthcare

Entry requirements

Applicants 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 science (including computer science). In addition, candidates who hold a primary degree, with a second-class grade (H2.2) in a biological, chemical or mathematical science (including computer science) and with industrial experience will be considered.

If English is not the applicant’s 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.

Students who successfully secure a place on the programme can apply for a student visa. RCSI can provide a visa letter to support an application for a student visa.

Please note:

Students must liaise with immigration services independently to secure their own visa and ensure they undertake in a timely manner to have their visa secured for commencement of the programme in September 2022.
Candidates 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.


1 year part-time.

Post Course Info

Your future
The RCSI Postgraduate Certificate in Technologies and Analytics in Precision Medicine brings together a unique educational offering filling an essential and emerging skills gap in the life sciences sector in the area of future transformative therapeutic technologies

Graduates are in a position to apply for roles such as, but not limited to, computational biologists, data scientists/analysts, bioinformatician/bioinformatics scientist across the bio-pharmaceutical industry. In addition, this course will further enhance the student's academic profile and therefore make them highly competitive for PhD applications across both national and international research/universities.

Furthermore, interested graduates can apply for PhD positions in the areas of precision medicine, data analytics, machine learning and connected healthcare.

More details
  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time,Full time

  • Apply to

    Course provider