

High Throughput Technologies
Delivered by UCD
Fundamentals of omic sciences & potential of associated datasets to diagnose, monitor, & target many common diseases.
- Starts September 2022
- Blended Teaching
- 5 Credits
- NFQ Level 9
- Course Fees: €875.00
delivered by UCD, ATU Sligo and TU Dublin
This programme focuses on the application of AI to healthcare and biomedical research. The programme covers data analytics, machine learning/AI, systems biology, precision medicine, connected health, health informatics, precision medicine, and connected health.
Fundamentals of omic sciences & potential of associated datasets to diagnose, monitor, & target many common diseases.
Introducing biological principles of cell organisation as relevant for human anatomy, physiology, and pathology.
An overview of ethics and regulation in research, clinical trial design, medical biostatistics, and data management.
Career planning and opportunities, scientific writing, presentation skills and the principles of project planning.
Key clinical IT systems that encompass a modern digital hospital and their uses, benefits & limitations of such systems.
An interactive, step-by-step and easy-to -follow introduction to "how to program" with Python.
Computational methods (with a focus on AI and ML) for generating personalised disease models and patient models.
Introduces learners to the structure of traditional paper records and electronic patient records
Focuses specifically on various Machine Learning (ML) & Deep Learning (DL) techniques commonly applied in life sciences.
Data mining principles & techniques used for gleaning new insights given biological data from various sources.
Introduces learners to the rapidly expanding field of Digital Pathology (DP)
Precision oncology research and precision oncology tools available in routine clinical settings & in development.
Develop skills in the analysis of human genetic data, particular with respect to applications in biomedical research.
Data mining principles & techniques used for gleaning new insights given biological data from various sources.
Fundamentals of data science, use of ML & DL algorithms for scientific applications in biology, genetics & drug discovery.
The concept of precision medicine using relevant applications from the individual patient and societal perspective.
Directed to medical practitioners, those in allied professions and at those working in ICT areas in the health sector.
Suited to life sciences graduates & healthcare professionals, seeking careers in industry, academia & clinical settings.
Consolidates core disciplines to address a rapidly increasing skill gap in the healthcare & biomedical research sector.
Open to graduates in the Health Sciences and Healthcare professionals who hold a minimum 2H1 in an undergraduate Degree.
The founding industry Centre partners are: