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    Artificial Intelligence in Pharma and Biotech
    MIT Sloan School of Management

    Artificial Intelligence in Pharma and Biotech

    MIT Sloan School of Management, Cambridge
    HomeMIT Sloan School of ManagementArtificial Intelligence in Pharma and Biotech
    7 weeksDuration
    onlineFormat
    EnglishLanguage
    Data & AITopic

    Available Cohorts

    Choose your preferred start date

    May 6 - Jun 23, 2026
    7 weeks · online · Self-Paced
    Open
    Jul 1 - Aug 18, 2026
    7 weeks · online · Self-Paced
    Open
    Aug 26 - Oct 13, 2026
    7 weeks · online · Self-Paced
    Open
    Oct 21 - Dec 8, 2026
    7 weeks · online · Self-Paced
    Open
    $3,250

    All-inclusive program fee

    About This Program

    Disruption has arrived in the pharmaceutical and biotech industry. Driven by artificial intelligence (AI) and machine learning (ML) technologies, new possibilities include everything from molecular design to predictive patient reaction models. However, despite a clear connection between the science of drug discovery, ML, and business decision making, there is a disconnect between the tools that exist and the specialists utilizing them. It’s only by bridging this gap that the full potential of this technology will be realized. In the Artificial Intelligence in Pharma and Biotech online short course from MIT Sloan School of Management, you’ll discover the benefits and challenges of AI tools within this sector. Over six weeks, gain insight into the current state of technology in the industry and explore ways that it can be applied to the drug discovery and distribution processes. You’ll learn how AI can be utilized in biological and generative modeling, and examine the impact of ML on the design and management of clinical trials. With insights into the relevance, practical implications, and business impact of these technologies, you’ll be able to position yourself ahead of the curve as innovation reshapes the industry.


    Over the course of six weeks, dive into the existing and potential applications of AI and ML in the pharmaceutical and biotech industry. Guided by expert MIT faculty, you’ll gain insight into the optimal AI tools for this industry and explore how they can be leveraged for early drug discovery. Unpack AI’s potential to help promote research efforts into biology and diseases on a cellular level, and how it can assist with tasks like biomarker identification and disease tracking. Finally, you’ll investigate the impact of new AI modalities on patient stratification, and assess the limitations and promises of using ML in the design and management of clinical trials. You’ll walk away from the program with an understanding of AI’s broader business implications for the pharma and biotech industry.


    Harness AI for business: Understand how AI and ML can be applied across pharma and biotech organizations.


    Leverage new technology: Learn to use ML in the early stages of drug discovery, identifying molecules, designing clinical trials, and selling pharmaceuticals.


    Make optimal decisions: Make more informed decisions using ML processes in the science of drug discovery.


    Drive industry innovation: Uncover the infinite applications of AI in biotech and discover how they can be applied in your business context.

    Why MIT Sloan School of Management?

    MIT Sloan doesn't trade on prestige alone — it trades on proximity. Proximity to one of the world's densest concentrations of engineering, AI, and life sciences research, and to a faculty that publishes the ideas executives will be managing around in five years. If you want to understand how technology reshapes strategy before it reshapes your industry, this is the room to be in.

    Your Profile

    • This program is designed for business leaders in pharmaceutical science and other scientific fields who want to understand how AI can be integrated into their organization. The program is ideal for professionals who are interested in the various AI and ML tools available, and want to learn how to apply them in their research and work. Researchers, specialists, data scientists, software developers and analysts working for a pharmaceutical company will also benefit from the course as they learn the broader business implications of AI applications in pharma and biotech, and how these technologies can be introduced within their context.

    Benefits

    • Harness AI for business: Understand how AI and ML can be applied across pharma and biotech organizations.
    • Leverage new technology: Learn to use ML in the early stages of drug discovery, identifying molecules, designing clinical trials, and selling pharmaceuticals.
    • Make optimal decisions: Make more informed decisions using ML processes in the science of drug discovery.
    • Drive industry innovation: Uncover the infinite applications of AI in biotech and discover how they can be applied in your business context.

    What You'll Learn

    • The Landscape of Artificial Intelligence (AI) in the Pharmaceutical Industry
    • Using AI for Early Drug Discovery: From Small Molecules to Biologics
    • Modeling the Biological Underpinning of Disease
    • Biomarkers, Discovery, and Patient Stratification
    • Design and Management of Clinical Trials
    • Business and Innovation in Pharma