UWE Bristol - MSc Health Technology

UWE Bristol

MSc Health Technology

Study a multi-disciplinary master's degree that bridges the gap between health and technology. Gain hands-on experience in subjects ranging from artificial intelligence and cyber security, to robotics and smart technology.

The use of digital technology in healthcare is growing at a rapid rate. These technologies are transforming our approach to healthcare challenges on a global scale. From diagnosing and monitoring diseases such as dementia to diabetes, to using smart technology to treat health conditions linked to current environmental threats, such as water and air pollution.

A cross-subject degree

MSc Health Technology caters to students from a broad range of disciplines, from healthcare and biomedical science to robotics and engineering. We are one of the first universities in the region to offer a degree of this kind.

This is a multi-disciplinary degree that bridges the gap between health and technology by blending both worlds. The course addresses an industry skills shortage for AI, cybersecurity and robotics in healthcare, providing the opportunity to enhance your employability, as well as your knowledge.

The degree offers flexibility to choose from a diverse range of research projects, tailored to your interests.

Flexible entry routes

The course is aimed at those with a health or science background, looking to develop a career in digital healthcare.

If you are a current undergraduate student studying a science or health-related discipline, you will build on your existing degree in a new, future-focused direction.

Entrepreneurs or STEM and healthcare professionals can also benefit, advancing their career prospects through CPD and enterprise opportunities.

Real world experience

Develop real world, practical experience in the latest facilities, including our new engineering building and virtual simulation labs. By applying your knowledge, you will put theory into action and bring your passions to life.

Collaborating with our Health Tech Hub ensures your course content is up-to-date and adaptable to emerging technology trends. You will also benefit from strong industry links on our doorstep, within Bristol's thriving technology centre.

Entry Requirements

Applicants should have an undergraduate degree in a relevant subject such as science, engineering, computer science or healthcare.

International and EU applicants are required to have a minimum overall IELTS (Academic) score of 6.5 with 5.5 in each component 

Career Prospects

The course has been designed to meet a skills gap in today's healthcare market. Employers require graduates that are digitally agile and have strong interpersonal and leadership skills, which are firmly embedded in this MSc course.

By the end of the course, you will have gained an understanding how digital technology is used to prevent, diagnose and treat chronic diseases. You will also develop a strong understanding of the applications of artificial intelligence in healthcare.

Get prepared for a fast-paced career in health technology. From biotechnology to cybersecurity and big data analysis, this course is at the forefront of cutting-edge innovations in digital medicine.

Build your professional network of small and medium enterprises (SMEs) across healthcare, engineering and technology. Maximising connections with local and national industry links will strengthen your employability after your master's degree.

If you're an entrepreneur or technology professional, you'll gain a commercial understanding of digital healthcare through our enterprise modules.

Graduate employment offers a broad range of opportunites in the healthcare sector, teaching and academia, with many going on to take PhDs in the sciences.

Our award-winning careers service helps you develop your employment potential through career coaching, a vacancy service for internships, placements, jobs, global opportunities, volunteering and community activity plus support for entrepreneurial activity, and access to employer events.

Course Details

AI and Computer Vision, Application in Healthcare
Disease, Diagnosis and Monitoring
Extended Research Project
Innovative Technology in Healthcare
Research Methods.

Two optional modules
Advanced AI, Computer Vision and Cyber Security
Assistive Robotics
Smart Sensing
Enterprise and Innovation.

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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