Overview

The MSc Medical Imaging is designed for radiographers ready to progress into enhanced or advanced roles.

Industry-informed curriculum and research-rich learning will prepare you to integrate imaging technologies, influence policy, and deliver enhanced and advanced practice across Scotland, the UK, and global healthcare systems.

Whether you’re advancing your current role or entering a new career path, this degree opens doors to leadership, innovation and meaningful impact in healthcare.

Artificial Intelligence (AI) Pathway

This page provides information about the Artificial Intelligence (AI) pathway, one of four pathways available within our MSc Medical Imaging course.

The Artificial Intelligence pathway provides a route to develop the knowledge and skills needed to evaluate, apply and govern AI tools within imaging services.

You’ll gain an understanding of how AI is used across health and social care, with a focus on its role in imaging practice. To support clinical decision-making and service development, teaching brings together:

evaluation of imaging-specific AI tools
consideration of governance and safety
application of digital health research.

Your learning will be supported through the use of digital tools and platforms, enabling you to explore:

data quality
workflow integration
practical challenges of implementing AI in practice.

As you progress, you’ll develop the confidence to critically assess your clinical context and implement AI to drive real change.

Whether you’re advancing your current role or entering a new career path, this degree opens doors to leadership, innovation and meaningful impact in healthcare.

Further details about the MSc Medical Imaging and pathway options can be found on the MSc Medical Imaging course page.

Full-time study is available for UK and international applicants with at least two years of post-qualification experience, offering an intensive route to MSc completion in one year. Part-time study provides flexibility for UK-based professionals balancing work and study over three to five years.

Please note: The module Artificial Intelligence for Health and Social Care Practitioners is open to a wide range of learners across the School and can also be taken as a standalone CPD module.

Why study Medical Imaging (Artificial Intelligence) at GCU?

Study with a mix of health and social care professionals and build shared understanding of safe, effective use of AI.
Develop imaging‑specific insight into evaluating, validating and applying AI tools in practice.
Our course is one of the first structured AI imaging pathways aligned with national digital health priorities.
Build strong critical‑thinking and evidence‑based skills to support service improvement, governance and research in imaging AI.

What you will study

We aim to display the most up-to-date information possible.

The modules listed on this page and the Programme Specification are intended to give you an idea of what you may be able to study on this course. Please note that course content, modules, teaching and assessment may change each year and after you have accepted your offer to study at GCU. This might be because we are required to do so by law, by a governmental authority, regulator or accrediting body. We may also make changes for quality assurance reasons, or to enhance the course.

Modules

Core modules

Advanced Research Methods

Dissertation

Artificial Intelligence for Health and Social Care Practitioners (L11)

Artificial Intelligence for Radiographers

Optional modules

Professional Development for Enhanced Practice

Advanced Leadership for Health & Social Care Practitioners

Careers

With growing global demand for advanced imaging expertise and digital health innovation, graduates are well positioned to progress into roles across clinical, academic and commercial settings.

You'll be prepared for advanced or enhanced roles within diagnostic imaging or sonography services, with opportunities in:

leadership
advanced practice
education
research.

Graduates of the AI pathway go on to support digital transformation within imaging services such as:

service development
evaluation
governance
research
supporting the effective use of digital tools in clinical settings.

Our graduates can work across a range of settings, including:

NHS Health Boards
private imaging providers
international hospitals
education and research
industry.

UK-based students often achieve career progression within the NHS, while international graduates may progress into advanced roles in their home countries or global healthcare organisations. Some graduates also choose to pursue further academic study, including doctoral-level research.

Strong links with NHS Scotland and industry partners, alongside GCU’s career guidance, provide valuable opportunities for networking and career development.

Course information

Award	Mode of study	Duration	Start date	Location
MSc	Part time	3 - 5 years	Jan 27	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Part time	3 - 5 years	Sep 26	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Full time	1 year	Sep 26	Glasgow	Enquire Apply

Please note that admission to GCU is considered on a competitive basis, and the academic entry requirements stated here may be the minimum required to be eligible for an offer.

International students can get information on entry requirements specific to their country in our International Study section.

Minimum academic requirement

UK honours degree 2:2 (or equivalent) in Diagnostic Radiography or closely related discipline and
A minimum of two years relevant practical experience. This must be demonstrated with a CV and employment reference.
Applicants must also be a radiographer or sonographer in their home country.

English language requirement

Academic IELTS score of 6.5 (or equivalent), with reading and listening at 6.5 and no element below 6.0.

Additional information for international applicants

Entry requirements by country
Application deadlines
English language tests
Knowledge of English - Applicants from a majority English speaking country may not be required to provide further proof of your English language proficiency. Information about this requirement is available on the Student Visa section of the gov.uk website.

Additional information for all applicants

Relevant experience (Recognition of Prior Learning)

GCU's flexible entry policies exist to allow relevant work experience and prior learning to be considered towards standard entry or advanced entry into a course.

If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning (RPL) scheme.

Teaching and assessment

The MSc Medical Imaging (AI) is taught through a mix of online lectures, seminars and guided digital activities. Learning is centred on discussion, critical evaluation and applied case work rather than technical coding.

Assessments include written coursework, presentations, digital artefacts and a research dissertation. The structure keeps the focus on real‑world application while maintaining strong academic standards.

Guest lectures and networking

You’ll hear from guest speakers across the healthcare sector, including:

AI industry experts
Clinicians using AI
Researchers
Policy leaders.

These sessions offer insights into emerging trends and provide opportunities to build professional connections.

Full time and part time study options

This course offers full-time study, with a part-time option for UK-based professionals.

Full time (1 year): Full-time students complete the MSc in one year. It follows structured progression through core modules and specialist options. This is ideal for UK and international applicants with two years’ post-qualification experience.

Part time (3 – 5 years): The part-time option allows you to study over three to five years, if you are a UK working professional and eligible for part-time study. You’ll be able to build your award gradually, combining modules across trimesters to suit your schedule and career development. You will steadily progress from PgCert to PgDip and finally MSc, alongside your work commitments.

Facilities

Digital health and AI integration are also embedded throughout, preparing you for technology-driven healthcare. You will use a range of digital tools such as Copilot and learning platforms that support understanding of AI, data quality, governance and workflow integration.

Global perspective and Common Good

This course reflects GCU’s Common Good mission, promoting inclusive, digitally enabled education and preparing graduates to address health inequalities and global imaging challenges. You will benefit from a research-rich environment and strong NHS and industry links, positioning them for leadership roles worldwide.

This AI pathway reflects GCU’s commitment to widening access to digital education and preparing graduates to address health inequalities and global challenges linked to AI. You will learn within an international, research‑active community, gaining insight into how AI can support safe, ethical and inclusive care.

Entrepreneurship and leadership

The modules in this programme equip you with key skills to drive service transformation and mentor future professionals including:

critical thinking
reflective practice
confident leadership.

Research and impact

Aligned with the College of Radiographers Education and Career Framework, the course fosters research literacy and service evaluation skills. You will undertake a dissertation focused on real-world challenges, contributing to evidence-based practice and innovation in imaging services.

Download the programme specification

In addition to the core modules that all students must undertake, some courses offer students a choice from a selection of optional modules to shape the focus their degree. Optional modules where available, form part of the overall credit structure of the course.

Download the programme specification for a detailed breakdown of the course structure, including modules, what you'll learn and other useful information.

Terms and Conditions

Details of the University’s terms and conditions are available here.