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Technologies and Analytics in Precision Medicine

MSc
Pharmacy and biomolecular sciences

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 mtapm@rcsi.ie.

Watch a webinar on how the MSc in Technologies and Analytics in Precision Medicine programme can provide an understanding and critical awareness of key emerging therapeutic technologies.

Programme information – MSc Technologies and Analytics in Precision Medicine PDF | 1273.5 KB FAQs – MSc in Technologies and Analytics in Precision Medicine PDF | 586.4 KB

Modules

Block 1: Genetics, Genomics and Precision Medicine

  • Human Genetics and Genomics/Omics Technologies
  • Concepts of Precision Medicine
  • Applications of Precision Medicine

Block 2: Data Analytics and 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