Teaching & modules
Modules
Semester 1
Compulsory modules
You are required to take:
- Introduction to Digital Health (15 credits)
- Digital Epidemiology (15 credits)
- AI in Personalised Health (15 credits)
Optional modules
Choose one of the following modules:
- Digital Health Innovation & Entrepreneurship (15 credits)
- Health Economics (15 credits)
Semester 2
Compulsory modules
You are required to take:
- Designing & Evaluating Digital Health Interventions (15 credits)
- Principles of Health Informatics (15 credits)
- Public Health and Primary Care Dissertation (60 credits)
Optional modules
Choose two from the list below:
- Advanced Health Data Science & AI (15 credits)
- Medical Regulation & Digital Health (15 credits)
- Ethics, Privacy & Governance in Digital Health (15 credits)
- Health Systems Strengthening (15 credits)
- Global Public Health (15 credits)
- Designing Qualitative Research for Social Science & Health (15 credits)
Teaching methods - what to expect
Teaching combines lectures for core theory, seminars and case discussions for critical analysis of policy, research, methods and ethics, computer practicals for applied statistics and AI, and a supervised dissertation that evidences originality and advanced scholarship.
Some modules shared with MPH provision incorporate blended and flipped classroom elements, including pre recorded lectures, guided online activities and live discussion sessions. These support flexible learning and enable students to engage with foundational material online before applying concepts in in person seminars.
Indicative hours
- 10% lectures
- 15% seminars/workshops/tutorials/computer practicals
- 75% independent study
Typically, one credit equates to 10 hours of work.
Assessment
- Essays
- Reports
- Case studies
- Oral presentation
- Group work
- Exam
- Dissertation
Assessment across the MDH uses a range of authentic, applied tasks designed to reflect real world digital health practice. These include written essays and structured analytical reports, critical appraisals, computer based data analyses, case studies, oral presentations and group work, as well as a small number of exams where appropriate to assess core methodological knowledge. Assessments emphasise the ability to apply concepts to real world scenarios, interpret and evaluate evidence, design and critique digital health solutions, and communicate effectively with specialist and non specialist audiences. A combination of formative and summative assessments is used throughout the programme to develop and evidence advanced knowledge, critical analysis, methodological application, professional communication and responsible practice. The programme culminates in a substantial 60 credit dissertation, where you will integrate learning across modules and complete an independent research project in digital health.