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MSc Digital Health and Artificial Intelligence

MSc Digital Health and Artificial Intelligence

Different course options

Full time | Talbot Campus | 1 year | 20-SEP-21

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Health Studies Digital Arts

Course type


Course Summary

Recent advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have led to their increased adoption in digital healthcare. The major information and communication technology, electronics and start-up companies are increasingly adopting AI to provide a range of smart solutions for patients’ hospital and home cares.

The innovative AI-based solutions enable more performing diseases diagnoses, personalised treatment plans, together with advanced assistive technologies, for sustainable patients health monitoring and tailored response to their care.

The aim of this course is to build a workforce of AI specialists in the area of digital health. Our graduates will understand the challenges in designing and deploying AI-driven digital health products in an industry where regulation, responsibility and legal implications are of paramount importance. They will also capture the requirements for adopting AI solutions to digital healthcare, with assurances of their ethical, safe and effective deployments.

This course will support you to develop a strong professional capability for adopting modern healthcare needs, together with the technical skills you will require for adopting digital healthcare and AI. You will acquire a strong technical understanding of digital healthcare technologies combined with AI; which are essential in advancing 21st-century digital healthcare in the years to come.


Upon completion of this course, you will possess the practical skills and theoretical knowledge necessary to enter the business computing profession, regardless of whether you currently hold any IT qualifications. As Information Technology forms a core part of the business function for many organisations, you will enjoy a wide range of career opportunities in a variety of industries.


The aim of this unit is to provide you with an introduction to the principles and techniques employed within the greater field and sub-fields of Artificial Intelligence (AI), and the skills and knowledge required to employ AI techniques to solve real-world and synthetic problems. We will approach AI from a computer-science perspective, with focus given to the challenges faced within the field, nature inspired algorithms, and their applications to complex real-world problems.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have a Bachelors Honours degree with 2:2 in a required subject, or equivalent. Required subjects: Computing, Technology, Maths, Physics, Engineering, Data Sciences or Data Analytics.

University information

Based by the sea in south-west England, just two hours from London by train, Bournemouth University offers over 90 taught Master’s courses as well as many research programmes. 16% of its students are in postgraduate study, meaning you’ll be joining a thriving postgrad community. The University has four academic faculties, divided into numerous individual schools: Health & Social Sciences Departments: Human Sciences & Public Health,...more

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