Digital Health

Module details: This module introduces digital health, covering key concepts, theories, and challenges shaping the sector. You will explore healthcare’s digital transformation, big data, AI, and the shift of treatments into digital formats. Interactive discussions and case studies will examine user-centred design, accessibility, and the evolving business landscape. The module also explores career pathways, innovations, and entrepreneurial concepts in digital health. By engaging with real-world examples, you will develop a critical understanding of the opportunities and challenges in digital health technologies.

How you’ll learn: This module includes lectures, seminars, and workshops that cover digital health foundations, AI, big data, telehealth, user-centred design, and ethical considerations. You will engage in collaborative problem-solving, prototype and technology evaluations, and participate in career development activities such as industry events or field trips.

Assessment: Assessments will develop analytical and teamwork skills through a Global Trends Analysis Presentation, where you will critically analyse global digital health trends, and a Group Project Proposal for a digital health solution, applying theoretical concepts, user-centred design, and feasibility analysis.

Module details: This module provides a comprehensive understanding of the ethical, legal, and business considerations in digital health. Key topics include data privacy laws (e.g., GDPR, HIPAA), AI bias, accessibility, health economics, and policy frameworks. You will also explore the entrepreneurial landscape, learning how startups and healthcare organisations scale innovations. This core module prepares you for careers in digital health policy, governance, entrepreneurship, and ethical AI, equipping you with the skills to lead in the sector.

How you’ll learn: This module consists of lectures and seminars covering key ethical, regulatory, and entrepreneurial challenges in digital health. You will apply theoretical concepts to real-world issues, engage in critical debates, and develop business models while attending career-related events. Additional asynchronous digital support will keep you updated on current policy changes, ethical debates, and emerging trends in digital health.

Assessment: This module will be assessed through a Policy Brief and a Business Case Analysis, where you will draft and peer-review outlines for each, focusing on an ethical or regulatory challenge and a proposed digital health business model, before submitting final reports evaluating the challenges and presenting evidence-based recommendations, entrepreneurial strategies, and ethically responsible solutions.

Module details: This module provides practical experience and industry engagement, preparing you for careers in digital health research, technology, consultancy, and policy. Over two semesters, you will undertake work experience, applying academic knowledge to real-world challenges. The module integrates key educational pillars, offering career development training, reflective practice, and professional networking, while deepening your understanding of the digital health landscape, workplace expectations, and emerging career opportunities in the sector.

How you’ll learn: This module offers practical engagement through online industry guest seminars, professional skills workshops, and work experience in a digital health company or research institution. You will gain industry insights, career development, and networking opportunities, while also receiving asynchronous digital support and attending career-related events.

Assessment: This module is assessed through a Reflective Diary and a Social Media Portfolio, helping you develop critical self-reflection, career readiness, and professional branding skills. You’ll document your workplace experiences in the diary and create a social media portfolio, with opportunities for formative feedback on portfolio slides during workshops, ensuring they link academic learning to industry practice.

Module details: This module provides a comprehensive understanding of emerging technologies in healthcare, such as AI, virtual reality, wearable devices, mobile health apps, and robotics. Through interactive lectures, hands-on workshops, and case study analyses, you will develop practical skills and critical thinking abilities. The module explores global case studies, focusing on the ethical, economic, and societal impacts of digital health technologies, equipping you with the knowledge and insights needed to develop and implement innovative digital health solutions.

How you’ll learn: This module includes lectures and seminars covering digital health innovations like AI, mobile health apps, wearable devices, and robotics, alongside business models and risk evaluation. Seminars will feature interactive discussions, case studies, and hands-on workshops, allowing you to apply theoretical concepts to real-world challenges, engage in collaborative problem-solving, and attend career-related events.

Assessment: This module is assessed through a Business Plan Report and a Pitch Deck Presentation, where you will develop strategic thinking and communication skills by drafting a business plan and receiving peer feedback, followed by creating a pitch deck that simulates real-world investor engagement.

Module details: This module provides a solid foundation in research methodologies and AI-assisted tools for digital health studies. You will explore both quantitative and qualitative methods, including study design, data collection, feasibility analysis, and digital health intervention evaluation. The module introduces AI tools like automated literature reviews and data interpretation, while emphasising ethical considerations. Hands-on workshops will help you develop coding skills in R or Python, preparing you for careers in health technology research and data-driven healthcare innovation.

How you’ll learn: This module consists of workshops focused on research methodologies and evaluation techniques in digital health, covering quantitative, qualitative, and mixed-method approaches, AI-assisted research tools, and ethical frameworks. You’ll also a receive asynchronous support, including video tutorials on R and/or Python to develop basic coding skills.

Assessment: This module will be assessed through an AI-Enhanced Research Proposal and an Oral Presentation, allowing you to develop applied research skills, AI literacy, and critical evaluation abilities, with opportunities for formative feedback on proposal outlines and presentations.

Module details: The Capstone Project is the final module of the course, where you’ll independently research or develop a digital health intervention, addressing real-world healthcare challenges. Supported by supervisory guidance, workshops, and peer discussions, you’ll apply rigorous research methods to design, evaluate, or develop innovative solutions such as feasibility studies or digital health tools. Integrating key educational pillars like equity, diversity, sustainability, and technology-enhanced learning, the project ensures you produce impactful, high-quality work for both academic and industry relevance.

How you’ll learn: This module includes a lecture/workshop covering research design, methodology, evaluation techniques, and project management, with a focus on preparing you for your capstone project. The module includes hackathons, where you’ll collaborate to develop innovative solutions, apply research methodologies, and receive feedback. You’ll also attend career development events, have asynchronous digital support, and receive thesis supervision to assist in developing your final projects.

Assessment: This module will be assessed through a Capstone Project report and a Viva, with opportunities for formative feedback on draft submissions, project elements, and presentations, allowing you to develop critical self-reflection, career readiness, and professional branding skills while demonstrating your research, design, and evaluation processes.