MSc Healthcare Analytics and Artificial Intelligence

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Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview

This course equips you to become a forward-thinking digital healthcare professional by mastering the entire lifecycle of data and AI technologies. You will learn to strategically manage the procurement, implementation, and ongoing evaluation of these solutions within complex healthcare environments. The curriculum provides a critical foundation in the regulatory, legal, and ethical challenges unique to applying advanced analytics in patient care.

Key Program Highlights

  • Master the end-to-end management of digital health technologies, from procurement to post-deployment evaluation
  • Critically appraise the ethical, legal, and regulatory implications of AI and data use in healthcare settings
  • Develop and implement predictive healthcare analytics using industry-standard data frameworks
  • Assess the suitability and efficacy of AI and data analytics tools for specific clinical and operational challenges
  • Understand the business requirements and strategic management of healthcare AI products

Requirements

The requirements may vary based on your selected study options.





















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Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs