- Validated by
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- Duration
- 6 months
- Apply by
- 6th Sep 2026
Total fees
£2,550Next intake
September 2026
Apply by
6th Sep 2026
Commitment
Part time
Format
100% online
Duration
6 months
About this programme
Develop postgraduate knowledge of artificial intelligence and its role in modern healthcare with our university-validated Postgraduate Certificate in AI in Medicine. Designed specifically for healthcare professionals, this six-month, 60-credit AI in medicine course provides a structured introduction to understanding, critically evaluating, and responsibly applying artificial intelligence in medical and healthcare settings through flexible, 100% online, part-time study.
Across three 20-credit modules, you’ll explore the foundations of artificial intelligence in healthcare before examining current and emerging applications, including machine learning, natural language processing, computer vision, diagnostic imaging, clinical decision-making, personalised medicine, AI-enhanced surgery, wearables and remote health monitoring, mental health, and medical research. You’ll consider not only what AI technologies can do, but their limitations, risks, and implementation challenges, and the evidence required to evaluate their appropriate use in healthcare.
Validated by the University of South Wales, this online AI in medicine course takes a healthcare-first approach to AI education. Rather than training you to become an AI engineer or software developer, you’ll explore how AI relates to healthcare practice, patient care, and clinical workflows, including the ethical, legal, and social implications of its use. Through real-world case-based learning, critical appraisal, and Tutor-facilitated discussion, you can develop your understanding of medical AI alongside your existing professional commitments.
Who can study this Postgraduate Certificate in AI in Medicine?
The PGCert AI in Medicine is designed for healthcare professionals who want to understand how artificial intelligence is being used across medicine and healthcare, critically evaluate its capabilities and limitations, and engage more confidently with its responsible implementation.
This AI course for healthcare professionals may be particularly relevant to:
- Doctors and GPs interested in the role of AI in diagnosis, treatment, clinical decision-making, and healthcare workflows
- Nurses seeking to understand AI-enabled healthcare and its implications for patient care, safety, and multidisciplinary practice
- Pharmacists and pharmacologists interested in AI applications, healthcare data, evidence, decision-making, and responsible implementation
- Radiographers interested in AI in radiography, diagnostic imaging, computer vision, and AI-supported healthcare workflows
- Other registered healthcare professionals who want to develop their AI literacy and ability to critically evaluate artificial intelligence in healthcare
- International healthcare professionals looking for flexible, online postgraduate AI education that can be studied across different healthcare systems and time zones
This is an artificial intelligence course for medical professionals, rather than a computer science conversion course. You do not need to be looking to become a programmer, AI engineer, or data scientist. Instead, the programme bridges AI technology and healthcare, helping you understand its applications, evidence, risks, and implications from the perspective of a healthcare professional.
What will you study on this Postgraduate Certificate in AI in Medicine?
The Postgraduate Certificate in AI in Medicine comprises three sequential 20-credit Level 7 modules, worth 60 credits in total. Over six months, you'll progress from the foundations of artificial intelligence through its applications in medical practice to the ethical, legal, and social considerations surrounding its responsible use.
You'll examine key AI technologies, including machine learning, natural language processing, and computer vision, and explore how they are being applied across different areas of medicine and healthcare. Topics include diagnostic imaging, clinical decision-making, personalised medicine, surgery, wearables and remote health monitoring, mental health, and medical research.
Throughout the programme, you'll critically consider the evidence behind different applications of AI, alongside their capabilities, limitations, risks, and potential implications for healthcare practice.
Responsible implementation is also a central part of the programme. You'll examine areas including data privacy and security, bias and equity, accountability, legal considerations, social impact, and patient engagement, developing a critical understanding of the factors that can influence how AI is introduced and used within healthcare.
During the programme, you'll study:
- Artificial Intelligence in Medicine – develop an understanding of the foundations and principles of artificial intelligence and important AI technologies, including machine learning, natural language processing, and computer vision, within the context of medicine and healthcare.
- Applications of Artificial Intelligence in Medical Practice – explore current and emerging applications of AI across healthcare, including diagnostic imaging, clinical decision-making, personalised medicine, surgery, wearables and remote health monitoring, mental health, and medical research. You'll critically consider the capabilities, evidence, benefits, limitations, and risks associated with different applications.
- Ethical, Legal and Social Implications of Artificial Intelligence in Medicine – examine the challenges surrounding the responsible implementation of medical AI, including data privacy and security, bias and equity, accountability, patient engagement, social impact, and future challenges.
- Together, these three modules provide healthcare professionals with a structured understanding of AI technologies, their applications within healthcare, and the critical considerations surrounding their responsible use.
Year 1
Module 1 Module 1: Foundations of Artificial Intelligence in Healthcare +
Module aims:
To introduce students to the fundamentals of Artificial Intelligence (AI) and its applications in medicine. Students will gain an understanding of AI technologies that can be leveraged to enhance diagnostic accuracy, treatment planning, and patient outcomes within healthcare settings.
Content summary:
- Introduction to AI in Healthcare
- Core AI technologies in Healthcare
- Managing Medical Data
- AI in Clinical Decision Making
- AI in Medical Research
- Challenges in AI for Healthcare
Learning outcomes:
- Critically analyse evidence-based research, methods and challenges associated with applying artificial intelligence technologies in healthcare settings.
- Develop a systematic understanding of evidence-based solutions and recommendations that leverage AI to improve patient outcomes, maximise the value of medical research, and address ethical challenges surrounding the implementation of artificial intelligence technology and principles in healthcare.
Module 2 Module 2: Artificial Intelligence Applications in Medical Practice +
Module aims:
To develop students' knowledge and understanding of current and emerging applications of artificial intelligence across a variety of medical contexts, enhancing their critical analysis skills and striving to improve patient outcomes.
Content summary:
- AI in Diagnostic Imaging
- Personalised Medicine through AI
- AI-Enhanced Surgery
- Wearables and Remote Health Monitoring
- AI in Mental Health Treatment
- Exploring the Future of AI in Medicine
Learning outcomes:
- Critically evaluate current and emerging AI technologies for a range of healthcare applications, analysing the potential benefits and limitations of these tools in medical practice.
- Develop a systematic understanding of current requirements, challenges and solutions in implementing AI technologies adopting a multidisciplinary approach and for a variety of healthcare settings.
Module 3 Module 3: Ethical, Legal and Social Implications of Artificial Intelligence in Medicine +
Module aims:
To develop students' knowledge and capabilities when assessing multifaceted ethical, legal and societal challenges surrounding the integration of AI in healthcare.
Content summary:
- Ethical Frameworks in Medical AI
- Ensuring Data Privacy and Security
- Addressing Bias and Equity
- Legal and Accountability Issues
- Social Impact and Patient Engagement
- Navigating Future Challenges
Learning outcomes:
- Exhibit an in-depth knowledge of the ethical, legal and societal challenges associated with artificial intelligence in a variety of medical contexts.
- Develop evidence-based policy recommendations that incorporate the latest research and take into account ethical frameworks and legal issues related to the application of AI in medicine.
How will I learn?
You’ll learn through our flexible, interactive online platform: clinical cases, assignments and collaboration with fellow students at times that suit your rota. There is no fixed timetable — log in daily to take part in the week’s activities.
Groups are small, typically 10–20 students, so discussion stays close to practice. A dedicated tutor and the Student Support Team stay with you through the module.
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100% flexible
Online, with no campus days. Study around clinic, nights and family life.
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Case-based
Two or three clinically rich scenarios each week, discussed with peers and marked by your tutor.
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About 10 hours a week
A little and often — daily login beats a weekly cram.
Assessment methods
The Postgraduate Certificate in AI in Medicine places assessments at the heart of the learning process through the employment of real life scenarios to enhance problem-solving, critical analysis and evidence-based practice. Since the scenarios act as a focus for learning and assessment, the two are intrinsically linked.
The three modules on the course have the same assessment format and for all modules, you will be assigned a dedicated expert tutor. Your tutor will then facilitate case discussions with the group, whilst monitoring, assessing and marking your work throughout. You will also participate in a combination of module activities that may be group and/or individual based, dependent on the module.
These innovative teaching methods enable you to envisage the translation of your studies into your every day work and practice. Due to the online nature of the course, you will be expected to regularly login and participate in the course - ideally on a daily basis. Students are recommended to spend around two hours per day on their studies. Our dedicated Student Support Team are also available to help with any problems you may face. From navigating our online platform to advising you on deadlines, our team can assist with any questions or challenges you may have along the way.
Assessments are built into the learning. Each week you work through clinical cases with your tutor; those discussions are the core of both the teaching and the marks.
Academic Forum (Case-based scenarios and discussion) - 40% +
Students are required to critically analyse clinically focused case-based scenarios, discussion threads and weekly questions posed by their tutors via the Academic Forum (an online discussion board) and designed to meet the module learning outcomes. Here, students make their own researched and referenced contributions and interact with the tutor and their fellow students. There is no didactic teaching, instead, students are posed questions and prompted to search the literature, read it critically and respond. Engagement is encouraged by the tutor prompting students to respond and the use of automated activity monitoring software.
At the end of each module, the tutor allocates marks to each student based on a marking rubric. The rubric takes into account the following elements:
· Promptness and initiative
· Delivery of post (spelling and grammar)
· The relevance of post and referencing
· Expression within the post
Module Activity (Group or Individual) - 20% +
The group activity is designed to stimulate and test the students’ ability to work as a team in taking the subject area forward. A group task is set, the group elects a leader using the online forum (designed to put leadership skills into practice) and the leader allocates tasks to group members.
The leader is responsible for managing, collating and submitting the activity (online) at the end of the module. The tutor provides formative guidance part way through the module and marks the assessment at the end.
Examples of individual activities might include either a written assignment, poster, blog or social media project.
All students must complete the same assignment for each module that is predetermined by the programme Leader before the modules commence. Students are not provided with an option to choose.
Case-based multiple-choice exam - 30% +
Case problems in the form of a one-hour timed examination with multiple-choice ‘single best answer’ questions directly test the reasoning and knowledge objectives of the module. The online examination is marked automatically.
Reflective portfolio - 10% +
The online reflective journal is a learning portfolio that requires the students to record and critically reflect on their learning. Reflection is an important aspect of the programme as the professionals will be able to spend time considering how their practice compares to the themes being discussed in the module. The tutor provides regular feedback to the student and marks it at the end of the module.
Reflective practice is a requirement for healthcare professionals for both professional re-validation and professional development.
Entry requirements
Since our courses are conducted entirely online, they are accessible to both UK and international registered healthcare professionals.
Applicants will typically hold a first degree or equivalent (including international qualifications) in a relevant professional healthcare field, such as a medical or nursing degree.
Registered healthcare professionals without these recognised qualifications will be considered on an individual basis and a wide range of prior experience may be taken into account. In some cases, applicants may be asked to submit a piece of work for assessment in order to confirm that they are able to work comfortably at postgraduate level, and demonstrate the requisite clinical and professional knowledge.
Documents required
- A copy of your updated CV including your address and date of birth.
- A copy of your undergraduate degree certificate.
- The name and email address of someone who is able to provide a reference. This can be a work colleague, employer or former tutor.
- A detailed personal statement explaining why you would like to undertake the course.
- A copy of your proof of English competency (see below).
English language requirements
Proficiency in the English language is essential to completing our courses. If English is not your first language, we ask for proof of competency during the application process. We are able to accept an IELTS overall score of 6.0 (with a minimum of 5.5 for each band) or an equivalent qualification.
If you do not meet these requirements, please don’t worry. The University of South Wales run a number of English language programmes to prepare you for your academic studies. You can also contact our admissions team on admissions@learna.ac.uk for more information on the qualifications we accept.
Faculty
Programme Director
Dr. Sheikh Faisal Rashid
Programme Director
Dr Iram Ashraf
1 / 2
Validated by
University of South Wales
The University of South Wales (USW) is a modern, industry focused University located in Cardiff, Newport and Pontypridd in South Wales, UK. It was rated best in the UK for the Health Professions in the Guardian University Guide 2020 and, in the latest Complete University Guide 2022, is in the top 10 in the UK for Health Studies. USW is one of Britain’s largest and most exciting new universities attracting a cosmopolitan mix of students from across the globe.
Dates
Dates for Postgraduate Certificate / Postgraduate Diploma / MSc Year 1 September 2026 Intake
| Module | Start | End |
|---|---|---|
| Induction Week | 7th September 2026 | 11th September 2026 |
| Module 1 | 14th September 2026 | 25th October 2026 |
| Module 2 | 9th November 2026 | 20th December 2026 |
| Module 3 | 11th January 2027 | 21st February 2027 |
| Module 4 | 8th March 2027 | 18th April 2027 |
| Module 5 | 3rd May 2027 | 13th June 2027 |
| Module 6 | 28th June 2027 | 8th August 2027 |
Course fees and payment options
Course fees
- Deposit for September 2026
- £425
- Total course fees (UK & international)
- £2,550
Payment options
- Option 1: Upfront payment in full (discount available).
- Option 2: Interest-free monthly payments throughout the course.
Spread the cost with Lendwise, who offer financing options for up to 8 years.
Payment plan breakdown
| Instalment | Amount |
|---|---|
| Deposit | £425 |
| 1st May 2026 | £425 |
| 1st June 2026 | £425 |
| 1st July 2026 | £425 |
| 1st August 2026 | £425 |
| 1st September 2026 | £425 |
Deposits are non-refundable. Prices are subject to review following each intake. Lendwise finance is subject to eligibility.
Frequently asked questions
Are the courses recognised outside of the UK? +
As each Medical Council has their own rules/regulations with regard to Postgraduate study we recommend that you contact your local Medical Council with regard to recognition.
Upon completion of the course the University would invite you to a graduation ceremony and provide your certificate which makes no reference to the fact that the course was studied online and is therefore typically recognised the same as any other UK University qualification.
Rest assured, the overall Postgraduate Diploma carries a total of 1,200 CPD points, with the MSc an additional 600 CPD points, and all official certifications are issued directly by the University.
How do online courses work? +
When you study one of our programmes you may be surprised to find that there are no lectures or seminars. Your learning will be self-directed meaning that rather than being told information you find it for yourself (with tutor guidance and support). We do this via a series of clinically rich scenarios which your tutor will post on our academic forum which you and your classmates will research, respond to and discuss.
You will be assessed through the Academic Forum, Reflective Journal and Assignments. Learning will be carried out using our online learning platform: Moodle.
You can study whenever and wherever you want - our programmes are totally flexible to fit around your other work and life commitments.
How much time will I need to spend on the course each week? +
The course is specifically designed so that part of your study is the application of theory to practice in your day job.
We typically suggest that students aim to log into the Moodle platform daily. We recommend a "little and often" approach for reading, reflection and/or posting. High achieving students will typically spend 1-2 hours dedicated to their studies a day; 10 hours per week is sufficient time to spend on the platform.
Those who cannot dedicate more time than once/twice per week may struggle with the demands of this postgraduate programme.
Is the course completely online? +
Yes, everything is done entirely online through our learning platform, Moodle. You do not need to attend the University.
My international degree was taught in English - do I still need to take an English test to prove my English proficiency? +
All of our courses are delivered in English, so proficiency in the English language is essential for success. If English is not your first language, we require proof of competency as part of your application. We accept the following as proof of English Language skills:
We Accept a Range of English Language Qualifications
While IELTS and TOEFL are among the most commonly used English tests, we understand that students come from diverse backgrounds — and we’re happy to work with you to accept a wide range of other recognised English language qualifications.
We accept IELTS (International English Language Testing System)
Our most commonly accepted test, IELTS is globally recognised and widely used for university admissions.
We accept TOEFL (Test of English as a Foreign Language)
Another widely accepted test, TOEFL assesses your reading, writing, listening, and speaking skills in an academic setting.
We accept English Medium of Instruction (EMI) Letters
Many of our international students provide an EMI (English Medium Instruction) letter from their previous institution. This letter should confirm that you were taught in the medium of English. It is a popular and widely accepted form of proof, especially if you have completed prior academic studies in English.
Our University partners Requirements
The University of South Wales accepts an overall score of 6.0 (minimum of 5.5 for each band) and The University of Buckingham accepts an overall score of 6.5 (minimum of 6.0 for each band).
Do you offer any payment plans or funding support? +
Our Flexible Instalment Plan is designed to offer ultimate flexibility to pay for your programme. You have the choice of two payment options:
Make an Upfront Payment in Full: For those who prefer to settle their fees upfront, you can pay the full amount at the beginning of your programme.
Interest-Free Payments: Alternatively, you can choose to spread your payments out with interest-free instalments every month for the duration of your course.
These options are separate from our existing lending partners, which you can explore further on our programme pages. We believe that education should be accessible to all, and our Flexible Instalment Plan is just one of the ways we are committed to supporting you in your academic journey.
What discounts are available, and how much can I save? +
We currently offer two discounts: the Early Bird Discount and the Action Taker Discount. The Early Bird discount allows you to save up to £500 or more, available only to self-funders and is a limited-time offer that runs for the entirety of November for the March cohort or the entirety of May for the September cohort. Our Action Taker Discount allows you to save up to £150 off for PGCert and £250 off for PGDip/2-year MSc programmes. To qualify for Action Takers, you must pay the deposit within 7 days of acceptance.
For Early Bird Discounts, the discount is visible if your application and acceptance are completed within the required timeframe. For Action Taker Discounts, it will reflect once conditions are met.
What is a Postgraduate Certificate in AI in Medicine? +
A Postgraduate Certificate in AI in Medicine is a Level 7 postgraduate qualification focused on understanding, critically evaluating, and responsibly applying artificial intelligence within medical and healthcare settings. Learna's programme comprises three 20-credit modules worth 60 credits and is completed online and part-time over six months.
Unlike a general technical AI qualification, this AI in medicine certificate is designed specifically around the needs and perspectives of healthcare professionals.
Who is the AI in Medicine course designed for? +
The AI in Medicine course is designed for healthcare professionals who want to develop their understanding of artificial intelligence and its applications, limitations, and implications for healthcare.
This includes doctors and GPs, nurses, pharmacists, pharmacologists, radiographers, and other registered healthcare professionals. The focus is on understanding and critically evaluating AI in healthcare rather than training as an AI engineer or software developer.
Do I need coding or programming experience to study AI in Medicine? +
The programme is not positioned as a coding or software development course. It is an AI healthcare course for healthcare professionals, focused on understanding AI technologies and critically evaluating their applications within medicine and healthcare.
Applicants will still need to meet the programme's formal entry requirements, but the qualification is not designed as a computer science or programming conversion course.
How is AI used in medicine and healthcare? +
AI has applications across areas including diagnostic imaging, clinical decision-making, personalised medicine, surgery, wearables and remote health monitoring, mental health, and medical research.
The programme examines these applications critically, considering the evidence supporting them alongside their capabilities, limitations, risks, and implications for patient care rather than assuming that AI is appropriate or beneficial in every healthcare context.
What are the risks and limitations of AI in healthcare? +
AI in healthcare can present challenges relating to areas including data, bias, equity, safety, accountability, and implementation. Its capabilities and limitations can also vary considerably according to the technology and context in which it is used.
The programme takes a critical rather than promotional approach to AI, helping you examine its potential benefits alongside its limitations, risks, implementation challenges, and appropriate and inappropriate applications.
Does the course cover ethics, bias, and data privacy in medical AI? +
Yes. The programme includes a dedicated module examining the ethical, legal, and social implications of artificial intelligence in medicine.
You'll explore areas including AI ethics in healthcare, data privacy and security, algorithmic bias and equity, accountability, social impact, and patient engagement, helping you consider the responsible implementation of AI rather than focusing solely on its potential benefits.
Is the course relevant to pharmacists, pharmacologists, and radiographers? +
Yes. Pharmacists and pharmacologists can explore AI applications in relation to healthcare data, evidence, decision-making, and responsible implementation, while radiographers have particular relevance through topics including AI in diagnostic imaging and computer vision.
The programme is multidisciplinary and considers artificial intelligence across a range of medical and healthcare applications.