Explore our Digital Transformation for Healthcare taught Master's degree.

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P-I51A

MSc

1 year full-time

30 September 2024

WMG (Warwick Manufacturing Group)

University of Warwick

Put yourself at the forefront of digital healthcare and gain the knowledge and leadership skills to drive improvements in understanding, preventing, diagnosing, and managing patient-centred healthcare. Digital Transformation for Healthcare MSc is taught in the interdisciplinary department of WMG in the Faculty of Science, Engineering and Medicine, and combines healthcare, technology, leadership and management.

Globally we are witnessing both increased demand for, and acceptance of, new technologies in healthcare. With this demand comes the need for new professional skills and specific job roles that can deliver against these digitally-focused market trends. As a graduate of the MSc in Digital Healthcare Transformation you will be able to bridge the gap between physical and digital health provision by maximising the use of both existing and new technologies. You will develop the skills to interact with technology whilst understanding both the patient and clinical perspective.

This course will equip you with a unique set of transferable skills combining healthcare knowledge, data analysis, leading edge technology, and digital capability with the leadership skills to enable and sustain digital transformation within organisations. The main barrier to digital transformation is often not the technology itself, but bringing about and managing change in individual and organisational behaviour which is the key focus of this new course.

Emerging technologies such as AI can be extremely powerful when applied in a healthcare context, but skilled personnel are needed to apply AI in the most effective and safe ways, in order to maximise the scope of its potential. You will utilise data and apply innovative digital technologies and AI to transform the way health and care services are offered, developing more efficient ways of working and supporting organisations to deliver more digitally augmented care pathways.

The course encourages transformative learning and incorporates research and industry experience inspired teaching throughout. As a student, you will gain the tools and knowledge required to innovate, integrate and adopt new technologies in order to bring about improvements in population and individual healthcare outcomes and delivery models.

This course has two components – a taught component accounting for two-thirds of your time and effort, and a research component accounting for one-third. The taught component of the course makes use of a range of teaching and learning methods including lectures, seminars, case studies, site visits, flipped classroom teaching and use of a trigger model so students are actively engaged in their learning.

Module leaders are experts in their fields and are supported by external speakers working at the forefront of their fields. Teaching is strongly supported by the use of learning technologies and online workshops. Co-operative learning is also encouraged both inside and outside the classroom with the use of assessed group work, inquiry-based learning and problem-based learning.

In addition to your taught modules, you will undertake a major project as part of your Master's degree. This is nominally 600 hours (60 CATS points) of learning, mainly taking place during the Spring and Summer terms. You will be expected to engage regularly with your Project Supervisor and to provide progress updates and drafts of your work to an agreed schedule.

This course can accommodate around 25 students.

Module delivery patterns vary, but most will be delivered in a short learning block of up to 4 weeks, allowing your focus to be on one module at a time. Each module nominally accounts for 150 hours, which includes scheduled classroom time and online sessions as well as your independent study and assessments.

The course uses a variety of assessment methods across modules. These may include reports (both topic based and reflective), individual and group presentations, data analysis reports, building of computerised models, poster presentations, critical reflections, and open-book exams. Assessments have been designed not only to assess your achievement in meeting the course learning outcomes in an academically sound manner, but also contribute to preparing you with the requisite competencies required for employment.

Your timetable

Core modules will be allocated to students at the end of the first week of term - you will then be able to view your individual module schedule for the rest of the year via the WMG module selection system.

Modules will include scheduled classroom time and online sessions as well as your independent study and assessments, and will usually be delivered within a 4 week timeframe. Occasional classes and study skills sessions may be held at weekends or in the evenings.

As a Master's student, you are expected to manage your own time appropriately. On average, you are expected to commit 38-40 hours of study each week, in order to successfully achieve your Master’s degree.

This is a full-time postgraduate course - undergraduate term dates do not apply. Whilst there are no holidays as such, there will be no teaching scheduled when the University is officially closed, during the two weeks over Christmas and New Year.

2:1 undergraduate degree (or equivalent). 

Candidates with a UK 2:2 (or equivalent) may be accepted upon demonstration of relevant professional experience. 

We welcome candidates with a range of academic backgrounds and experience looking to take a leading role in the digital transformation of healthcare systems.

The course is particularly suitable for those with a background in clinical medicine or allied health professions looking to gain the technical skills and knowledge to address the current and future development challenges of digital healthcare. It is equally suitable for those with computing, engineering or data science backgrounds who will benefit from the advanced theoretical knowledge required to support the digital transformation of healthcare and social care services in context.

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0

Candidates with professional experience should include their CV with their application.

The MSc in Digital Transformation for Healthcare comprises of the following core modules:

• Foundations of Digital Healthcare
• Big Data and Data Analysis for Healthcare
• Artificial Intelligence for Healthcare
• Digital Communication and Interoperability for Healthcare
• Design for Digitally Enabled Healthcare Systems
• Management of Change
• Introduction to Leadership and Management in Healthcare Contexts
• Study, Professional, and Analytical Skills

Please refer to the departmental course pages for more detailed information and module content for this course.

• Enterprise Cyber Security 
• Industrial Espionage and Counterfeiting 
• Cyber Security for Virtualisation Systems 
• Cyber Intelligence and Operations 
• Cyber-Physical Systems 

Read the module descriptions for this course on WMG’s website.