With the advances of mobile technologies such as chatbots, wearable technologies, Internet of Medical Things and the continuous boost in smartphone penetration, digital health helps to improve the healthcare delivery by making it more personalised and pervasive and by providing more predictive and preventive cares to its users.
The aim of our interdisciplinary MSc Digital Health is to build a digital health workforce to bridge the knowledge gap between healthcare and computing and address today’s and tomorrow’s design challenges in developing digital health solutions.
If your first degree is within computing and healthcare related disciplines this course will give you the required knowledge and skills to become a visionary digital health technologist, and will provide you with a potential ‘fast-track’ into the healthcare and social care profession. Our course is distinctive in producing graduates who are able to understand the healthcare and social care perspective and create a strategic view of digital health product development, and who can also manage and lead the development of such products and services.
A Bachelors Honours degree with 2:2 in a required subject, or equivalent.
Required subject: Computer Science/IT, Engineering, Design, Health and Social Care, Medical Science, Psychology, Business, Law or Forensic Science.
International entry requirements
If English is not your first language, you will need to provide evidence that you understand English to a satisfactory level. English language requirements for this course are normally:
IELTS (Academic) 6.0 with minimum 5.5 in each component, or equivalent.
Clinical Research Methods: This unit will provide an overview of different research methods used to address clinical research questions. It will cover aspects of research design and how they apply to the question being asked whether the approach is quantitative, qualitative or mixed methods.
Foundations of Health Information Systems: Health information systems serve multiple users for various purposes and they provide the underpinnings for health-related decision-making. This unit aims to help you learn the fundamentals of health information systems by introducing the key concepts, principles, processes and related issues, and carrying out relevant activities in the analysis and design of health information systems. Besides, the unit will cover health data generation, compilation, analysis, synthesis, communication and analytics. You will develop an understanding of the legal and ethical issues surrounding the implementation of health information systems and the use of electronic health data.
Integrated Digital Healthcare Project: It is essential to build a digital health workforce to bridge the knowledge gap between healthcare and computing and address today’s and tomorrow’s design challenges in developing digital health solutions. This unit aims to equip you with knowledge and skills in the areas of development of healthcare systems and services, with a specific focus on practical case studies. You will undertake a digital healthcare project by applying a software, system and/or project development life cycle.
Human Centred Design: Computer-based interactive systems refers to as a spectrum of digital products, services and solutions interact with human users in business, social and global contexts. The primary success factor in implementing such systems is to involve the human perspective in all steps of the problem-solving process. You will learn how to design and develop such systems by applying human centred design principles and techniques and carrying out relevant activities in the planning and management to satisfy both business needs and its user requirements. It will also help you develop an understanding of interaction design process and best practices through the exposure to usability, user experience and other related fields.
Individual Masters Project: You will develop an understanding of the characteristics and implications inherent in the solution of a complex, real-world problem within the context of a substantial, independently-conducted piece of work.
Data Management: The unit aims to explore modern data management applications and technologies. In particular, the unit aims to develop an understanding of data modelling and the design, implementation of data management solutions, evaluate current trends in data management and give introduction to data analytics techniques.
Blockchain and Digital Futures: The objective of this unit is to develop your skills and knowledge about the Blockchain technology and its usage. The material, lectures and seminars includes defining the Blockchain technology, its business aspect, issues, objectives, and challenges, covering Blockchain horizontal and vertical scaling, key basics of cryptography required for understanding the Blockchain technology concepts, different cryptocurrencies, and their issues, challenges, and networks. The unit also covers a few data analysis-based Blockchain technology scenarios and case studies. The aim is to develop related skills and an understanding of critically evaluating the key issues, challenges, and existing solutions.
Accessibility and Assistive Technology: This unit is an introduction to the concepts of accessibility and assistive technology and explores how technology can be used to support people with temporary, situational or lifelong disabilities by helping to overcome challenges to their self-care, educational, vocational and recreational independence. The aim of this unit is to provide you with an introduction to understanding diverse user needs, focusing on challenges caused by temporary, situational or lifelong disabilities. You´ll also gather the skills and techniques necessary to conduct foundational, user-orientated research with people who have disabilities to inform the design of assistive technology that can help overcome challenges during specific tasks. You´ll be trained in the ability to develop novel prototypes of inclusive assistive technology with an accessibility-first design philosophy combining advances in Human-Computer Interaction, Data, and AI.
Persuasive Technology and Behaviour Change: This unit will focus on the use and design of Persuasive Technology (PT) denoting technology-assisted solutions for influencing the attitude and behaviour of individuals and groups. You will cover mainstream psychological theories of persuasion, influence, decision making and behaviour change besides their application on a wide range of domains including health, business and e-learning. We will also discuss the risks and ethical consideration of persuasion and essentials for informed decision making. Analysis and design methods for persuasive technology solutions will also be studied. Studied case studies include applications for encouraging the increase in physical activities, digital well-being, anxiety and stress management skills and sleeping quality. We will also discuss the use of PT in a business context such as increasing staff engagement, digital marketing, user retention and energy consumption reduction.
Smart Systems: Artificial Intelligence is being embedded in various systems and tools to achieve better decision making and more autonomy.
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.
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