Technologies & Analytics in Precision Medicine

Why study technologies and analytics in precision medicine at RCSI?
The health sector faces a new era as it seeks to incorporate the areas of data science, omics, bioinformatics, computational biology and machine-learning to create a future of 'connected healthcare'.

Disruption to existing models of healthcare delivery, along with increasing demand for healthcare access, an aging population and the associated cost challenges, 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.

This creates a need for a skilled and educated workforce that is focused on emerging and future healthcare technologies and can deliver through multi-disciplinary and collaborative approaches. The MSc in Technologies and Analytics in Precision Medicine at RCSI aims to equip this talent pool to address emerging skills gaps and enable future growth in the healthcare and the (bio)pharmaceutical industry.

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, Microsoft, Aerogen, S3 Connected Health, Inflection Biosciences, Phion Therapeutics and Almac in the development of the grant application that has led to this programme.

Course Details
This flexible Master of Science degree will produce students with increased systematic understanding and critical awareness of key emerging therapeutic technologies, increasing the provision in identified skills needs.

The teaching and learning strategy for the programme is designed to be flexible and responsive so that students can access quality, evidence-based learning and professional development. The programme is delivered in a blended learning environment and underpinned by a small group, problem-based and peer learning ethos.

The programme incorporates active learning techniques with a mix of team-based and individual-focused projects and a significant practical focus to ensure workplace readiness.

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

Entry requirements
Applicants should have successfully completed an undergraduate degree in healthcare (pharmacy or medicine) 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, candidates who 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.

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.

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; however, 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.

Please note: Candidates can be in full-time employment while completing the one-year full-time programme as part of the flexible and blended learning approach.

Application dates

How to apply
Applications for the academic year 2022/23 intake are now open.

Please note: Late applications will continue to be accepted until the start of the programme and are subject to availability of places.

For any queries, please email


The MSc in Technologies and Analytics in Precision Medicine at RCSI is offered as a full-time, 12-month programme.

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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,Blended

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    Course provider