
Transforming Healthcare with AI
MIT Sloan School of Management
The MIT Sloan School of Management, the business school of the Massachusetts Institute of Technology, was formally established in 1952, though its roots trace back to a 1914 engineering administration curriculum — reflecting MIT's conviction that management is, at its core, a rigorous discipline. Located in Cambridge, Massachusetts, it is a university-affiliated school embedded within one of the world's foremost research universities, and that proximity is not incidental — it defines Sloan's entire academic identity. The school operates on the principle that management education should be grounded in analytical frameworks and empirical evidence rather than anecdote, a philosophy that shapes everything from how courses are designed to how faculty are hired. Today, MIT Sloan remains one of a small number of schools where you will find economists, computer scientists, and organizational psychologists contributing directly to the same executive programs. ## Accreditations and Rankings **Accreditations:** - AACSB accredited - EQUIS accredited - AMBA accredited - *(Triple Crown accredited)* **Rankings:** - **Financial Times Global MBA Ranking:** #5 (2024) - **QS World University Rankings — Business & Management Studies:** #4 globally (2024) - **Bloomberg Businessweek MBA Ranking:** #6 (2023) - **Financial Times Executive Education Open Programs:** Consistently ranked in the global top 10 ## Executive Education at a Glance MIT Sloan Executive Education is one of the most programmatically diverse offerings in the world, running more than 90 open enrollment programs annually alongside a substantial custom programs portfolio serving organisations ranging from sovereign wealth funds to global technology companies. The school is particularly known for executive education in areas where management intersects with technology: artificial intelligence strategy, digital transformation, sustainability, system dynamics, and financial innovation. Program formats span intensive on-campus residentials in Cambridge, fully online programs through the MIT Sloan online platform, and blended formats — with durations ranging from two-day intensives to multi-month certificate tracks. Flagship programs include the *Artificial Intelligence: Implications for Business Strategy* program, the *Executive Program in General Management*, and the *System Dynamics for Business Policy* course — the last a direct product of MIT's legendary System Dynamics Group, founded by Jay Forrester. Open program fees typically range from approximately $3,500 for shorter courses to over $15,000 for extended programs, with some certificate programs carrying additional costs. ## Campus and Facilities MIT Sloan's primary executive education activities are anchored in the MIT campus in Cambridge, Massachusetts — a dense, walkable research environment where a five-minute walk can take you past robotics labs, quantum computing centres, and media innovation studios. The main Sloan building, E62, opened in 2010 and was designed by Fumihiko Maki to house a genuinely collaborative environment, with tiered classrooms, informal meeting spaces, and direct sightlines between floors that are intended to produce accidental conversations. For executive participants, Cambridge itself functions as a live case study: the Route 128 technology corridor, the Kendall Square biotech cluster, and the broader Boston ecosystem mean that site visits, alumni dinners, and industry panels are woven directly into the program experience. There are few cities in the world where a conversation at dinner is as likely to involve a Nobel laureate or a first-time founder. ## Faculty and Research MIT Sloan's faculty of roughly 150 senior professors spans economics, finance, operations, organisational behaviour, and — unusually for a business school — deep technical disciplines in data science and systems engineering. The school houses several research centres of direct relevance to executive participants: the MIT Initiative on the Digital Economy (IDE), the Sloan Finance Group, the MIT Leadership Center, and the Center for Information Systems Research (CISR), which has produced some of the most-cited work on digital business models and IT governance. Faculty members like Daron Acemoglu (economics of technology and inequality), Erik Brynjolfsson (digital economy), and Deborah Ancona (distributed leadership) publish work that regularly reshapes boardroom conversations — and they teach in executive programs. The school's explicit expectation is that faculty bring their active research agenda into the classroom, not a polished summary of someone else's. ## Student Body, Alumni, and Career Outcomes Executive education cohorts at MIT Sloan are notably international, typically drawing participants from more than 40 countries across a single program run, with strong representation from North America, Asia-Pacific, and the Middle East. The broader MIT Sloan alumni network numbers over 90,000 graduates across more than 90 countries, with particularly heavy concentrations in technology, financial services, consulting, and advanced manufacturing. Notable alumni include Kofi Annan (former UN Secretary-General), Benjamin Netanyahu (former Israeli Prime Minister and Sloan Fellow), Carly Fiorina (former CEO, Hewlett-Packard), and John Reed (former CEO, Citicorp) — a list that reflects the school's historical pull among both private sector leaders and public sector figures. For executive education participants, outcomes tend to be measured less in placement statistics and more in organisational impact: MIT Sloan's post-program research suggests that custom clients report measurable changes in strategic decision-making processes within 12 months of program completion.
Available Cohorts
Choose your preferred start date
All-inclusive program fee
Duration
2 days
Format
in-person
Topic
Data & AI
Language
English
About This Program
Healthcare industries constantly strive to improve patient care, and advancements in technology are pivotal to achieving this goal. Developments in artificial intelligence (AI), machine learning (ML), deep learning (DL), and generative AI (GenAI) have delivered an increasingly effective toolkit for making accurate predictions, enhancing diagnosis, personalizing treatments, and understanding disease progression.
This intensive two-day program, offered by the MIT Sloan School of Management in collaboration with the MIT Jameel Clinic, will introduce you to the transformative potential of artificial intelligence technologies and techniques in healthcare. The course covers foundational AI knowledge, explores practical applications across patient care, diagnostics, and hospital management, and considers key ethical, regulatory, and operational challenges in the healthcare sector. You will gain actionable insights into deploying AI today to improve healthcare outcomes, enhance efficiency, and manage risks effectively. You will also come together with peers to share insights, collaborate on challenges, and develop actionable strategies for leveraging AI in your organizations.
By the end of this course, participants will have a solid foundation in AI and machine learning principles, practical knowledge of AI applications in healthcare, and the ability to recognize ethical and regulatory challenges. They will develop confidence in leveraging AI to improve healthcare outcomes, optimize processes, and develop strategic AI initiatives within their organizations.
Please note, if you have already taken the Artificial Intelligence in Health Care self-paced online course, there may be some overlap in content.
OperationsStrategy & InnovationArtificial Intelligence
A solid foundational understanding of AI technologies, including ML, DL and GenAI, as well as key elements of data analytics
Insights into specific healthcare applications for AI, such as diagnostics, patient monitoring, and hospital management
Practical approaches to address interpretability, ethical challenges, and regulatory concerns
A toolkit and mindset to develop and integrate a sustainable AI strategy that aligns with healthcare operational goals
Healthcare Executives looking to integrate AI into their organizations
Clinical leaders, physicians and nurse leaders interested in improving patient care through technology
Business professionals in healthcare and associated industries looking to leverage AI for strategic and operational improvements
IT Professionals and managers focused on implementing AI solutions
Government officials and health policy advisors aiming to understand AI’s impact on healthcare regulations
Consultants and advisors specializing in healthcare technology and strategy
Why MIT Sloan School of Management?
Your Profile
- Healthcare Executives looking to integrate AI into their organizations
- Clinical leaders, physicians and nurse leaders interested in improving patient care through technology
- Business professionals in healthcare and associated industries looking to leverage AI for strategic and operational improvements
- IT Professionals and managers focused on implementing AI solutions
- Government officials and health policy advisors aiming to understand AI’s impact on healthcare regulations
- Consultants and advisors specializing in healthcare technology and strategy
Benefits
- A solid foundational understanding of AI technologies, including ML, DL and GenAI, as well as key elements of data analytics
- Insights into specific healthcare applications for AI, such as diagnostics, patient monitoring, and hospital management
- Practical approaches to address interpretability, ethical challenges, and regulatory concerns
- A toolkit and mindset to develop and integrate a sustainable AI strategy that aligns with healthcare operational goals