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Stockholm, Sweden · Study online with UKSM

Master Certificate in Artificial Intelligence in Healthcare

Four certificates in this programme

  • Global Certificate in Artificial Intelligence in Healthcare (Foundation) Foundation certificate
  • Global Certificate in Artificial Intelligence in Healthcare (Intermediate) Intermediate certificate
  • Global Certificate in Artificial Intelligence in Healthcare (Higher) Higher certificate
  • Master Certificate in Artificial Intelligence in Healthcare Awarded on completing all three stages
This certificate course covers AI applications in healthcare, including diagnosis, treatment, and data analysis, preparing professionals for future advancements
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Overview

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Learning outcomes

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Programme structure

1 Stage 1 · Foundation Global Certificate in Artificial Intelligence in Healthcare (Foundation) 10 units

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2 Stage 2 · Intermediate Global Certificate in Artificial Intelligence in Healthcare (Intermediate) 15 units

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3 Stage 3 · Higher Global Certificate in Artificial Intelligence in Healthcare (Higher) 20 units

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4 certificates in one programme. Earn a certificate for each completed stage — and on finishing all three, receive the overarching Master Certificate, exclusive to this programme.

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.2
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
JM
James Mitchell
GB · Course completed

The Master Certificate in Artificial Intelligence in Healthcare perfectly aligned with my professional development plan. The modules on predictive analytics and medical imaging gave me the confidence to design a pilot AI model for early disease detection at my hospital. I especially appreciated the case‑study driven materials – the real‑world datasets and step‑by‑step Jupyter notebooks made complex concepts accessible. The faculty’s expertise and the timely updates to the curriculum ensured that every topic was relevant to current industry standards. Overall, the course exceeded my expectations and has already opened doors to new project leadership opportunities.

JR
Jessica Rivera
US · Course completed

I took this course because I wanted to move from a traditional data analyst role into AI for health tech. The lessons on natural language processing for clinical notes were super practical – I actually built a small chatbot that can triage patient symptoms. The video lectures were clear and the downloadable slide decks were spot‑on for quick review. While the pacing was a bit fast at times, the hands‑on labs helped me meet my learning goal of creating end‑to‑end AI pipelines. I’m happy with what I got out of it and would definitely recommend it to anyone looking to upskill.

FW
Felix Wagner
DE · Course completed

Wow – what an inspiring experience! The course gave me a deep dive into ethical AI in healthcare, which was exactly what I needed for my research project on bias mitigation. The interactive simulations where we tweaked model parameters and immediately saw the impact on patient outcomes were fantastic. The reading list included the latest papers from top journals, and the discussion forums were buzzing with professionals from across the globe. Thanks to the practical assignments, I now feel equipped to implement AI‑driven decision support systems at my clinic. Absolutely loved every moment of it!

RK
Rahul Kapoor
IN · Course completed

The program was meticulously structured, allowing me to progress from foundational statistics to advanced deep‑learning techniques used in radiology. I was particularly impressed by the detailed lab sessions that walked me through building a convolutional neural network for tumor segmentation, complete with code snippets and performance metrics. The course materials—especially the annotated research articles and the curated dataset repository—were highly relevant and up‑to‑date. My learning goal of acquiring hands‑on AI skills for a tele‑medicine startup was met, and the supportive instructor feedback helped me refine my models. A solid, well‑rounded learning experience.

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Skills gained

Data Analysis
Machine Learning
Healthcare Applications
Ethical Considerations
These skills will be developed throughout the course


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Four certificates in this programme

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Taught in English

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Recently updated!

May 2026