Postgraduate Certificate in AI in Medicine
Validated by University of South Wales
Our Postgraduate Certificate in AI in Medicine is designed to prepare healthcare professionals to maximise opportunities from AI in Healthcare. Artificial Intelligence (AI) continues to revolutionise several fields, including healthcare, by providing innovative solutions that can enhance patient outcomes, reduce medical errors and lower healthcare costs (Bishen, 2023).
As AI technology advances, you have an opportunity to adopt Artificial Intelligence and its applications to enhance and augment processes, allowing you to extend and accelerate current systems and processes. Our AI in Medicine course offers the opportunity to for healthcare professionals like you to successfully implement AI into your practice, allowing for noticeable advancements to healthcare services and improved patient outcomes.
A relevant undergraduate healthcare degree is a requirement for medical professionals applying for this Postgraduate Certificate in AI Medicine
Next intake: March 2025Key Facts
AI technologies such as machine learning, natural language processing and computer vision are increasingly being used for disease diagnosis, drug discovery and medical image analysis. It is crucial for healthcare professionals to stay abreast of the latest developments and utilise them in their work, which is made possible through education with AI in Healthcare courses.
Our part-time AI in Medicine course takes just 6 months to complete, and is delivered fully online, presenting a valuable opportunity for medical professionals internationally to further your education and knowledge of AI in medicine.
On completion of this PGCert AI in Medicine course, you will be able to:
- Demonstrate a systematic understanding and critical knowledge of the use of artificial intelligence in healthcare settings.
- Critically evaluate the evidence base and develop advanced problem-solving skills that apply to practise in healthcare settings involving the application of artificial intelligence.
- Critically analyse the ethical, legal and social implications of the use of AI in healthcare.
Faculty
Programme Leader
Dr. Sheikh Faisal Rashid is a senior researcher and project lead at the Educational Technology Lab, German Research Centre for Artificial Intelligence (DFKI) in Berlin, Germany. He has a Doctorate...
Programme Leader
Dr. Iram Ashraf is a distinguished dermatologist and expert in aesthetic medicine with over 14 years of professional experience. She holds a diploma in Dermatology from the Royal College of...
Validating partner
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.
Frequently Asked Questions
For a full list of our FAQs visit our FAQs page.
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.
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.
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.
Yes, everything is done entirely online through our learning platform, Moodle. You do not need to attend the University.
Postgraduate Diploma courses
In order to be eligible for our Postgraduate Diploma courses you need to hold a medical degree or undergraduate degree in a health related science and be working within the field that you wish to study, as the course is designed to further your knowledge within your chosen subject and is not designed to introduce these as new topic areas.
We have two intakes a year in March and September. Click the following link for the up to date application deadlines and module dates: Module Dates.
The Action Taker Discount offers savings based on your programme: £150 off for PGCert and £250 off for PGDip/2-year MSc programmes. To qualify, you must pay the deposit within 7 days of acceptance. This discount is not available during February and August and not available in combination with the Early Bird Discount. The Action Taker Discount will be applied to your final payment. To take advantage, act quickly after acceptance to secure your savings.
Next intake: March 2025 Key Facts
Programme Leader
Dr. Sheikh Faisal Rashid is a senior researcher and project lead at the Educational Technology Lab, German Research Centre for Artificial Intelligence (DFKI) in Berlin, Germany. He has a Doctorate in Computer Science with a specialization in machine learning. He completed his Master's and B.Sc. (Hons.) in Computer Science at the University of Engineering and Technology, Lahore, Pakistan. With around 15 years of experience as a professor, senior researcher, and consultant in academia and industry, his focus is on supervised machine learning to develop robust, efficient, and responsible AI for complex societal challenges. Currently, he is working on advancing AI applications in healthcare, improving diagnostic and treatment processes, and exploring generative AI for educational technologies. His long-term goal is to promote "AI for Social Good" while addressing ethical challenges in AI deployment.
Dr. Rashid authored around 40 research publications in prestigious conferences and journals covering document image processing, natural language processing, computer vision, and large language models. Some of his work has been internationally recognized with the Best Paper award and the first prize in the ICDAR 2013 competition on digitally represented multi-size multi-font Arabic text recognition.
In addition to his academic and research pursuits, He serves as the vice president of the Pakistan Pattern Recognition Society (PPRS), affiliated with the International Association of Pattern Recognition (IAPR). He is also a professional member of the Association for Computing Machinery (ACM) and a reviewer for numerous journals and conferences.
Programme Leader
Dr. Iram Ashraf is a distinguished dermatologist and expert in aesthetic medicine with over 14 years of professional experience. She holds a diploma in Dermatology from the Royal College of Physicians and Surgeons of Glasgow and is certified by the European Board of Dermatovenerology (EBDVD-UEMS). Additionally, she earned an MSc in Aesthetic Medicine with Distinction from Queen Mary University of London and a diploma in Mesotherapy from the German Association of Mesotherapy (DGM).
Dr. Ashraf is a frequent speaker at national and international scientific conferences and serves as an international trainer in Mesotherapy. She is also a Senior Lecturer at 'EDU. A degree smarter.' Since 2020, Dr. Ashraf has been involved in various projects at the intersection of artificial intelligence and medicine, leveraging her extensive expertise in the field.
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Why Study an AI in Medicine Postgraduate Certificate with Learna
We have over 10 years’ experience delivering online courses, giving you access to flexible, affordable distance learning in partnership with world-leading educators.
100% Flexible
Our courses are 100% online. No fixed study times mean you can log in and learn whenever and wherever.
Multidisciplinary - study in a group of doctors, nurses, pharmacists and other healthcare professionals.
Expert Led
All of our programmes are authored and developed by world leading experts in their field.
Our faculty are selected due to their subject expertise, experience and teaching abilities to ensure the highest standards of educational excellence.
Career Boosting
Get a University Validated postgraduate qualification in just 1 calendar year instead of 2 academic years.
40% of our alumni reported an increase in salary 2 years after studying with us.
Who is this course for?
This AI medicine course is aimed at all healthcare professionals with a related undergraduate degree who have an interest in the use of artificial intelligence in healthcare, including:
- GPs
- Nurses
- Pharmacists
- Radiographers
- Pharmacologists
- and other medical professionals.
How Will I Learn?
You'll learn through our flexible, interactive online platform, which allows you to engage with clinical cases, complete assignments, and collaborate with fellow students at times that suit your schedule. There's no fixed timetable—simply log in daily to participate in the week's activities.
Learn through engaging discussion
Our teaching approach is highly interactive, using small groups of 10-20 students to foster a collaborative environment where you can engage in thoughtful discussions and receive guidance from your tutor. You'll have access to learning resources and discussion forums that encourage ongoing interaction and deeper engagement with the material.
Throughout your studies, you'll receive support from a dedicated expert tutor and our Student Support Team, ensuring you have the resources needed to navigate the course successfully.
Curriculum
Our online AI in Medicine Postgraduate Certificate allows you to study for just six months and is a part-time, distance-learning course. The course is worth 60 credits and comprises three modules of 20 credits, each running over a period of six weeks.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:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- 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 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:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- 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 aims:
To develop students' knowledge and capabilities when assessing multifaceted ethical, legal and societal challenges surrounding the integration of AI in healthcare.
Content summary:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- 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.
Assessment Methods
This programme emphasises learning through active participation in case-based discussions, reflection, and real-life scenarios. Students engage with clinical cases that mirror everyday practice, fostering problem-solving and evidence-based application from the very beginning.
Across the modules, assessments are integrated with learning. Each week, you will work through two to three clinical cases, discussing and reflecting on them with peers under the guidance of an expert tutor. These discussions form the core of your learning and are also the basis for your assessments.
Our innovative teaching methods are designed to help you translate this learning into real-world clinical practice. You'll need to regularly log in to participate in discussions, ideally on a daily basis, and commit approximately two hours per day to your studies. Our dedicated Student Support Team is available to assist with any challenges you may encounter, from navigating our online platform to managing deadlines.
How Foundational Knowledge is Developed
The programme is structured so that foundational knowledge is introduced through carefully designed clinical cases. Each case is crafted to highlight essential concepts and progressively deepen your understanding as you apply critical thinking and evidence-based analysis. This hands-on approach ensures that you are not only acquiring theoretical knowledge but also learning how to apply it in a practical, clinical setting.
This programme is suited for professionals who thrive in an online, discussion-based learning environment. Please note that this course focuses on interactive, applied learning through peer collaboration and case discussions. You will be fully supported, encouraged and led through the programme to success and graduation!
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
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 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.
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 artificial intelligence course for doctors, nurses and other healthcare professionals is conducted entirely online, it is 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 or management field.
Registered healthcare professionals working in the healthcare field 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 also 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 at the Centre for International English to prepare you for your academic studies. You can also contact our admissions team on admissions@diploma-msc.com for more information on the qualifications we accept.
Course Fees
Option 1: Upfront Payment in full. Option 2: Interest free payments every other month for the duration of the course.
| Date | Instalments | Up-Front Payments |
|---|---|---|
| Deposit | £850 | £2,550 |
| 1st May 2025 | £850 | |
| 1st July 2025 | £850 |
† Deposits are non-refundable
†† Prices are subject to review following each intake
Option 3: Lower your monthly payments by spreading the cost for between 2 and 8 years with a loan from our lending partner Lendwise*.
*Subject to eligibility criteria.
Learna | Diploma MSc has a partnership with Lendwise which is a leading private student loan provider, to help UK students fund their course fees should they require financing. Lendwise is a UK-based education finance platform through which candidates can fund their postgraduate and professional qualification studies at leading educational institutions.
A Lendwise loan comes with a fixed interest rate for the duration of the loan (between 2 and 8 years) and no early repayment penalties. The interest rate offered will depend on the overall applicant profile and the application process is entirely online.*
*Other sources of funding are available.
Learna | Diploma MSc does not offer financial advice, recommend or endorse any financial product. You should always check the suitability of the product that is of interest to you. If you are in any doubt as to its suitability, we suggest that you seek independent professional advice.
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