Studyportals
Master On Campus

Healthcare Data - Informatics, Innovation and Commercialization

University of Cambridge

24 months
Duration
28356 GBP/year
15456 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This Healthcare Data - Informatics, Innovation and Commercialization at the University of Cambridge has been designed to meet the skills gap in the management, handling and utilisation of healthcare data and to develop individuals confident in using healthcare data for innovative and/or commercial applications.

Overview

The Healthcare Data - Informatics, Innovation and Commercialization at the University of Cambridge will develop individuals with the necessary knowledge and skills to be able to understand and critically evaluate electronic healthcare data in a manner compatible with innovative commercialization opportunities

The course will:

  • Provide professionally relevant teaching and learning of the knowledge and skills at the forefront the successful understanding and utilisation of electronic healthcare data.
  • Develop healthcare data experts with the necessary expertise, and originality of application, to pursue and expand their roles in the rapidly evolving environment of healthcare data.
  • Promote a comprehensive understanding of the practical and ethical considerations relevant to healthcare data, informatics, innovation and commercialization.
  • Ensure a systems-based approach to the critical analysis and development of improvements in healthcare systems.
  • Provide work-relevant learning around the current problems, best-practice, challenges and potential solutions in the use of healthcare data.
  • Instil a critically reflective approach to the processes involved in the development of innovative and commercially viable opportunities arising from healthcare data.
  • Create a professional network of like-minded individuals as leaders in the field of healthcare data commercialization.
  • Provide students with the skills and knowledge to execute the entire process from initial curiosity driven healthcare data queries, through to data analysis and visualization, healthcare systems analysis, change management, and developing skills for data entrepreneurship, commercialization, and digital marketing in a work-relevant and practical manner.

Programme Structure

Courses include:

  • Research skills, governance and innovation
  • Data structures, storage and queries
  • Finding relationships and data visualisation 
  • Healthcare systems improvement
  • Medical technology innovation and commercialization
  • Research Dissertation,

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • Applicants for this course are expected to have achieved a UK 2.i honours degree or equivalent.
  • It is preferred that an applicant's first degree be in a subject relevant, or related to, life sciences, medical sciences, computational or data science.

Tuition Fee

To alway see correct tuition fees
  • International

    28356 GBP/year
    Tuition Fee
    Based on the tuition of 28356 GBP per year during 24 months.
  • National

    15456 GBP/year
    Tuition Fee
    Based on the tuition of 15456 GBP per year during 24 months.

Living costs for Cambridge

846 - 1465 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Healthcare Data - Informatics, Innovation and Commercialization
-
University of Cambridge

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