menu icon
Digital Health Systems MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Health Studies

Course type


Course Summary

Why this course?

Digital Health is one of the fastest growing economic sectors worldwide. It's creating jobs twice as fast as any other economic sector in Scotland and globally (Financial Times 2018).

Digital Health arises from the intersection of health and care services, information technology and mobile technology, and encompasses digital products and systems that can monitor, analyse, educate and improve health and care (Deloitte 2015).

This one-year Master’s degree (also available part-time over 24 months) is the perfect conversion pathway for recent graduates looking to move into the health and care sector. It's also ideal for existing health and social care practitioners looking to up-skill in digital innovation.

Our course is unique in that it's:

delivered by a broad range of world experts in computing science, information science, clinical psychology, and health services research
relevant to real world practice by being co-designed with the Scottish Government, their innovation centre (the Digital Health & Care Institute) the National Health Service, and health and care SMEs and third sector organisations
takes a multifaceted whole systems approach involving people, technology, practice and policy

You'll learn about state-of-the-art devices (eg sensors, wearables, apps), systems (eg electronic health records, remote monitoring) and methods (eg co-design, machine learning and data analytics).

You'll also learn about health and care implementation and innovation and how to deliver real world digital health solutions in context and at scale.

What you'll study

  • Full lifecycle of designing, developing and evaluating health technologies from mhealth – novel personal health and wellness devices (eg mobile apps, wearables) to ehealth – larger scale hospital and community based IT systems (eg electronic health records)
  • Agile participatory and co-design approaches for delivering health and care IT solutions
  • Practical and innovative software and data management techniques for managing (databases) and using data (data analytics) produced across a range of systems to support decision making, planning, and delivery of better care
  • How to manage complex legal, ethical and governance issues within healthcare
  • How to apply theories and models of human information behaviour to the holistic analysis and design of health and social care systems
  • How technology enabled health and care solutions can be implemented and evaluated at scale

The course also offers guest lectures from experts in the field. These include data scientists, systems developers and ehealth programme managers. You'll also gain hands-on practical projects in partnership with leading organisations. These include the National Health Service (NHS), Scottish Government, industry, third sector, and The Digital Health and Care Institute (DHI).

The course includes 120 credits of taught material taken over the first two semesters, and a 60-credit digital health project that runs, typically, from May to September. Your project will involve tackling real-world problems suggested by our partners.

Accreditation: Chartered Institute of Library and Information Professionals (CILIP)


Digital health is the fastest growing economic sector worldwide. It is creating jobs twice as fast as any other economic sector in Scotland and globally (Financial Times 2018).

Graduates from this MSc will be able to work in the hugely important and fast growing field of digital health and be in a position to transform the delivery of health and care as it rapidly develops in the future.

Different course options

Full time | University of Strathclyde | 1 year | SEP-20

Study mode

Full time


1 year

Start date



This is Semester 2 module. The research methods lectures will enable you to understand research methodologies and quantitative and qualitative research methods required to design and evaluate health systems in a robust way. On completion of this module, students will: appreciate the nature and application of selected statistical methods appreciate the range of qualitative research methods be able to write a research proposal be able to develop a research methodology for a given research problem be able to undertake a research risk assessment including identification of management procedures.

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

Minimum second-class Honours degree, or international equivalent in any subject.