Teaching & modules

Teaching methods - what to expect

Lectures
Seminars
Practical Work
Independent study

We use lectures, seminars and practical-based work to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Typically, you can expect the following:

  • Per 15 credit taught module : 40 hours in lectures/seminars, practical work and feedback and 110 hours independent study
  • Per 15 credit project module: 15 hours of supervision and 135 hours independent study

Typically, one credit equates to 10 hours of work.

Assessment

  • Coursework
  • Written/practical examinations
  • Written assignment
  • Presentations
  • Exams

Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include written assignments, presentations and examinations.

Course structure

All students are admitted onto Healthcare Technologies and then may choose to have a specialist named award by following one of the options below. Courses are divided into modules. You will normally take modules totalling 180 credits on both the MSc and the MRes.

Modules

Required Modules

All students are required to take:

  • Critical Skills for Translational Healthcare Technologies (30 credits)
  • Group Research Project in Healthcare Technologies (MSc) (15 credits)
  • Group Research Project in Healthcare Technologies (MRes) (30 credits)
  • Extended Individual Research Project in Healthcare Technologies (60 credits)

Optional Modules

Students take credits (MSc 75 credits; MRes 60 credits) from a range of optional modules. Modules should be taken in accordance with the requirements of the chosen degree pathway title.

Healthcare Technologies MSc any five optional modules from those listed below.
Healthcare Technologies MRes - any four optional modules from those listed below.

MSc/MRes Healthcare Technologies (Medical Imaging) 
Medical Image Computing options – any four options (for MSc) or any three (for MRes) from below + another 15 credits from any other option. 

  • Healthcare Software Development (15 credits)
  • Imaging in Healthcare (15 credits)
  • Medical Image Computing (15 credits)
  • Practical Medical Imaging (15 credits)
  • Clinical Applications of Medical Imaging (15 credits)

MSc/MRes Healthcare Technologies (Neurotechnology)

Neuroscience and Neurotechnology options - any four options (for MSc) or any three (for MRes) from below + another 15 credits from any other option.

  • Introduction to Neuroimaging (15 credits)
  • Introduction to Neuroscience (15 credits)
  • Engineering Principles for Bionics and Neurotechnology (15 credits)
  • Clinical Applications of Neurotechnology (15 credits)
  • Quality Management Systems and Regulations (15 credits)

MSc/MRes Healthcare Technologies (Artificial Intelligence)

Medical Artificial Intelligence options - any four options (for MSc) or any three (for MRes) from below + another 15 credits from any other option.

  • Scientific Programming (15 credits)
  • Machine Learning for Healthcare Applications (15 credits)
  • Advanced Machine Learning (15 credits)
  • Clinical Applications of Medical Imaging (15 credits)
  • Medical Image Computing (15 credits)

MSc/MRes Healthcare Technologies (Robotics)

Medical Robotics and Devices Neurotechnology options - any four options (for MSc) or any three (for MRes) from below + another 15 credits from any other option.

  • Medical Robotics: Theory and Applications (15 credits)
  • Applied Medical Robotics (15 credits)
  • Advanced Medical Robotics (15 credits)
  • Image Guided Navigation for Robotics (15 credits)
  • Surgical and Interventional Technology (15 credits)
  • MedTech: Idea to Impact (15 credits)
  • Quality Management Systems and Regulations (15 credits)

Imaging Chemistry options

  • Biology for Healthcare Technologies (15 credits)
  • Molecular Imaging and Therapy (15 credits)

Application closing date guidance

Key Information

Course type:

Master's

Delivery mode:

In person

Study mode:

Full time

Duration:

One year

Application status:

Open

Start date:

September 2026