Teaching & modules
Teaching methods - what to expect
Typically, one credit equates to 10 hours of work.
The total contact time for each 15-credit taught module is typically 20-30 hours. These sessions will include seminars, group and one-to-one supervision, and pitch presentations. Each 15-credit taught module also has approximately 120-130 hours of self-guided learning time.
Project development module are done in dissertation seminar, group supervision and team pitch presentation, dedicating approximately 600 hours of self-study and project work.
We will use a delivery method that will ensure students have a rich, exciting experience from the start. Face to face teaching and project-based learning will be complemented and supported with innovative technology so that students also experience elements of digital learning and assessment.
Assessment
- Written/practical examinations
- Coursework
- Individual or group projects and presentations
Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include coursework and individual or group projects and presentations.
Modules
Courses are divided into modules. You will normally take modules totaling 180 credits.
Required Modules
- MedTech innovation, ideation, design, and research methodologies (30 credits)
- Foundations of entrepreneurship and management I: Entrepreneurial strategy and growth (15 credits)
- Foundations of entrepreneurship and management II: Entrepreneurial finance & marketing (15 credits)
- Entrepreneurial Leadership (15 credits)
- Medical Technology Design and Development Pathways from Idea to Impact (15 credits)
- Project development (group dissertation) (60 credits)
Optional Modules
In addition, students take 30 credits from a range of optional Healthcare Technologies modules which can vary from year to year, but may typically include:
- Healthcare Software Development (15 credits)
- Scientific Programming (15 credits)
- Applied Medical Robotics (15 credits)
- Advanced Machine Learning (15 credits)
- Image Guided Navigation for Robotics (15 credits)
- Quality Management Systems and Regulations (15 credits)
- Engineering Principles for Bionics and Neurotechnology (15 credits)
Application closing date guidance
Key Information
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time
Duration:
1 year
Application status:
Open
Start date:
September 2026