Medical Informatics PhD 36 months PHD Programme By The University of Edinburgh |TopUniversities

Programme overview

Main Subject

Medicine

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Medical Informatics PhD programme enables you to engage in cutting-edge research on applications of computational methods to medicine and health care. 


Examples include: 


  • telehealth, mobile health, and telemedicine
  • computational medicine and simulation
  • applications of artificial intelligence
  • machine learning and natural language processing
  • the analysis of structured and unstructured health care data
  • surgical informatics
  • digital biomarkers and advanced methods of digital phenotyping
  • evaluation of health care technology in real-world settings
  • AI dependability in health care
  • data ethics and digital governance


There are a variety of methods from engineering, informatics, mathematics and social sciences.


The PhD in Medical Informatics is highly interdisciplinary, and its projects have explored applications areas such as:


  • ehealth in global health contexts
  • early detection and assessment of neurodegenerative diseases
  • robotic surgery
  • serious mental illnesses
  • biomedicine and biology
  • cardiovascular disease
  • respiratory diseases
  • diabetes
  • multimorbidity


These projects are often in cooperation with other schools, including the Schools of Informatics and Engineering. 

Programme overview

Main Subject

Medicine

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Medical Informatics PhD programme enables you to engage in cutting-edge research on applications of computational methods to medicine and health care. 


Examples include: 


  • telehealth, mobile health, and telemedicine
  • computational medicine and simulation
  • applications of artificial intelligence
  • machine learning and natural language processing
  • the analysis of structured and unstructured health care data
  • surgical informatics
  • digital biomarkers and advanced methods of digital phenotyping
  • evaluation of health care technology in real-world settings
  • AI dependability in health care
  • data ethics and digital governance


There are a variety of methods from engineering, informatics, mathematics and social sciences.


The PhD in Medical Informatics is highly interdisciplinary, and its projects have explored applications areas such as:


  • ehealth in global health contexts
  • early detection and assessment of neurodegenerative diseases
  • robotic surgery
  • serious mental illnesses
  • biomedicine and biology
  • cardiovascular disease
  • respiratory diseases
  • diabetes
  • multimorbidity


These projects are often in cooperation with other schools, including the Schools of Informatics and Engineering. 

Admission Requirements

Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.

3 Years
Jan
Sep

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