Technologies & Analytics in Precision Medicine

Why study technologies and analytics in precision medicine at RCSI?
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’.

We are seeing disruption to existing models of healthcare delivery, coupled with increasing demand for healthcare access, an aging population and the associated cost challenges, all of which have led to an increased focus on preventative medicine and tailored therapies for individual patients. The fusion of digital technology with traditional science will shape the future of healthcare not only in Ireland, but on a global scale as our world adapts.

With this, there is a need for a skilled and educated workforce that is focused on emerging and future healthcare technologies and who can deliver through multi-disciplinary and collaborative approaches. RCSI's Technologies and Analytics in Precision Medicine programmes aim to equip this talent pool to address emerging skills gaps and enable future growth in healthcare and the (bio) pharmaceutical industry.

Course Details
The programme will produce students with increased systematic understanding and critical awareness of key emerging therapeutic technologies, increasing the provision in identified skills needs.

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.

The MSc in Technologies and Analytics in Precision Medicine at RCSI is offered as a full-time, 12-month programme, or as a two-year programme from September. Both programmes carry 90 ECTS credits in total: 15 credits for each taught block and 30 credits for research methods and research project. The course offers exit routes at MSc (90 ECTS credits), Diploma (60 ECTS credits) and Certificate (30 ECTS credits).

For any queries, please email

Subjects taught

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

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

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 – Translating the Concept
• Leadership Development
• Contemporary Issues in Society

Block 5: Research Project

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 International 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 Full Time
2 Years Part Time

Post Course Info

Your future
The MSc in Technologies and Analytics in Precision Medicine at RCSI is 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
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime,Blended

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    Course provider