MSc Artificial Intelligence for Medicine & Medical Research 12 months Postgraduate Programme By University College Dublin |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

27,520 EURTuition Fee/year

Main Subject Area

Health/HealthcareMain Subject Area

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, pharmaceutical research, and remote sensing and connected health. In the era of genomic medicine AI will transform the way we diagnose and treat diseases reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. This course combines teaching in data analytics, AI and machine learning (ML), systems biology, precision medicine, health informatics and connected health.
Modules on offer cover the following major themes of data analysis in biomedicine including:
  • State-of-the-art methods in AI/Machine Learning and their applications to biological and medical data
  • Programming and tools for AI
  • Tools and methods for large scale data analytics
  • Data visualisation
  • Nature and structure of biological and medical data including those produced by omics and imaging methods
  • Design of biological and medical research projects
  • Ethical and privacy issues associated with the use of medical and biological data and analysis results

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This Masters programme consolidates core disciplines to address a rapidly increasing skill gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, pharmaceutical research, and remote sensing and connected health. In the era of genomic medicine AI will transform the way we diagnose and treat diseases reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. This course combines teaching in data analytics, AI and machine learning (ML), systems biology, precision medicine, health informatics and connected health.
Modules on offer cover the following major themes of data analysis in biomedicine including:
  • State-of-the-art methods in AI/Machine Learning and their applications to biological and medical data
  • Programming and tools for AI
  • Tools and methods for large scale data analytics
  • Data visualisation
  • Nature and structure of biological and medical data including those produced by omics and imaging methods
  • Design of biological and medical research projects
  • Ethical and privacy issues associated with the use of medical and biological data and analysis results

Admission Requirements

176+
6.5+
90+
This programme is aimed at computer scientists, data scientists, mathematicians and statisticians.  Entry requirements are a bachelor’s degree (minimum2H2), good computing skills, basic programming skills, and a solid foundation in statistics and mathematics.

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic
11,403 EUR
International
27,520 EUR

Scholarships

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