Discover the interconnectedness between the science of drug discovery, machine learning, and business decision-making.

Artificial intelligence (AI) and machine learning (ML) technologies are having a significant impact on innovation, with pharma and biotech being the latest industry to be affected. With the connection between drug discovery, technology, and the business now clear, leaders and scientists need to become better equipped to leverage new developments in AI and ML.

In the Artificial Intelligence in Pharma and Biotech online short course from the MIT Sloan School of Management, you’ll gain insight into how technology is currently being applied in the pharmaceutical industry. Over six weeks, you’ll explore ways that ML is driving new drug discovery, learn how AI can be used to create more accurate biological and generative modeling, and explore how ML can be used to streamline the design and management of clinical trials. You’ll walk away with an understanding of the benefits and challenges of these technologies, allowing you to make informed, innovative decisions within this rapidly evolving space.

Is this course for you?

If you work in the pharmaceutical and biotech industry as a scientist, researcher, or specialist, you’ll learn about various AI and ML tools and how to apply them in your research and work. If you currently hold a leadership position in the pharma business sector, this program provides practical, strategic learnings that can be applied to the areas of drug discovery, clinical trials, and pharmaceutical sales. By bridging the gap between analysis and application, the information presented in this course will also benefit data scientists and analytics professionals.