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Marnix E. Heersink Institute for Biomedical Innovation

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Artificial intelligence is rapidly transforming our society, including many aspects of academic medicine: administration, research, clinical care, and in policy and regulatory environments.

Healthcare leaders, scientists, and practitioners need an understanding of and training in how AI is being used in healthcare, the ramifications of its use, and how it will continue to evolve to impact the lives of physicians, researchers, and patients. Those who are in training for a career in medicine will also benefit from this credential, which can help you stand out from competitors. 

Our AI in Medicine Graduate Certificate will provide current and future healthcare leaders with important foundations in understanding and applying AI, as well as the safety, security, and ethics of using the AI to improve the health of and lives of patients. Prepare for the changing landscape of modern medicine with this valuable credential.

Pursuing a graduate certificate in AI in medicine can be a highly rewarding decision for many professionals. 

Why Choose Our AI in Medicine Graduate Certificate?

  • Expert-Led Curriculum: Learn from industry leaders and academic experts at the forefront of AI and medical research.

  • Hands-On Experience: Gain practical experience with real-world AI applications in medicine, enhancing both your technical and clinical understanding.

  • Cutting-Edge Knowledge: Stay ahead in your field with up-to-date insights on the latest advancements and trends in AI technology in healthcare.

  • Interdisciplinary Approach: Benefit from a curriculum that combines medical knowledge with AI technology, fostering a well-rounded understanding of both fields.

  • Flexible Learning Options: Enjoy a program designed for working professionals, offering flexibility to balance your studies with your professional commitments.

  • Networking Opportunities: Connect with a network of professionals, alumni, and experts in AI and healthcare, expanding your professional network and opportunities.

  • Career Advancement: Enhance your career by acquiring in-demand skills, opening doors to new opportunities in healthcare technology and innovation.

  • Certification from a Renowned Institution: Earn a certificate from Heersink School of Medicine, a leader in medical education and innovation, adding a prestigious credential to your professional profile.

What You Will Learn

  • Foundations of AI in Healthcare: Understanding the basic principles of artificial intelligence and its applications in the healthcare sector.

  • Data Science and Machine Learning: Learning about data analysis, machine learning algorithms, and their role in developing AI-driven medical solutions.

  • AI in Clinical Decision-Making: Exploring how AI aids in diagnosis, treatment planning, and patient care management.

  • Ethical and Legal Implications: Gaining insights into the ethical, legal, and social implications of using AI in medicine.

  • Emerging Trends in Medical AI: Keeping abreast of the latest advancements and future possibilities of AI in medical research, diagnostics, and patient care.

  • Practical AI Applications: Hands-on experience with AI tools and techniques currently used in healthcare settings.

  • Collaborative Healthcare Innovation: Learning to work effectively in interdisciplinary teams to develop innovative AI solutions in healthcare.

  • Critical Analysis of AI Technologies: Developing the ability to critically analyze and evaluate the effectiveness of AI technologies in various medical scenarios.

What to Expect

  • Interactive and Engaging Coursework: Engage in a mix of lectures, hands-on workshops, and interactive discussions, ensuring a dynamic and engaging learning experience.

  • Collaboration with Peers and Experts: Work alongside a diverse group of peers and receive guidance from experts in the field, fostering a collaborative and intellectually stimulating environment.

  • Real-World Project Work: Undertake practical projects and case studies that provide real-world experience in applying AI technologies in healthcare settings.

  • Personal and Professional Development: Grow both personally and professionally through a curriculum designed to challenge and expand your understanding of AI's role in advancing medical science and healthcare delivery.


  • Enhanced Expertise in a High-Demand Field: Gain specialized knowledge in AI as applied to medicine, a rapidly growing field with increasing demand for skilled professionals.

  • Career Advancement Opportunities: Open up new career paths in healthcare, technology, and research sectors, with the added advantage of expertise in AI applications in medicine.

  • Access to Cutting-Edge Resources and Technologies: Benefit from the latest resources and state-of-the-art technologies in AI and healthcare, ensuring you are at the forefront of current industry practices.

  • Networking and Professional Connections: Build valuable connections with professionals, instructors, and peers in the fields of AI and healthcare, enhancing your professional network and opportunities for collaboration.

Who Should Apply?

  • Healthcare Professionals: Doctors, nurses, and other healthcare providers looking to integrate AI technology into their practice and improve patient care.

  • Medical Researchers: Individuals in the field of medical research seeking to leverage AI for data analysis, predictive modeling, and advancing medical science.

  • Healthcare IT Professionals: IT experts and technologists in the healthcare sector aiming to deepen their understanding of AI applications in medicine.

  • Innovators and Entrepreneurs: Those aspiring to develop or contribute to AI-driven healthcare solutions, start-ups, or innovative projects in the medical field.



Tuition & Fees



Online (Domestic Students)

$682/semester hour

Online (International Students)

$762/semester hour


Other UAB Institutional Fees


Application Fee


Late Registration Fee


Withdrawl Fee


Graduation Fee


Medicine Support Fee




Application Deadlines

  • December 15 — Spring semester

  • August 1 — Fall semester


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