Bridge the gap between innovative technology, drug development, and business decision making.
6 weeks,
excluding orientation
6–8 hours per week,
self-paced learning online
Weekly modules,
flexible learning
Earn an MIT Sloan certificate
1
Insights into the relevance of artificial intelligence (AI) in the pharmaceutical and biotech industry and how machine learning (ML) can be applied across biotech organizations.
2
An understanding of the impact and implications of technologies on small molecule drug discovery.
3
The knowledge to use ML for disease modeling and therapeutic effects, and in predicting patient responses and monitoring patient health.
4
The benefits and practical implications of ML for designing and managing clinical trials.
Over the duration of this online program, you’ll work through the following modules:
MODULE 1 The Landscape of Artificial Intelligence (AI) in the Pharmaceutical Industry
Gain insight into the present state of machine learning (ML) within the pharmaceutical industry.
MODULE 2 Using AI for Early Drug Discovery: From Small Molecules to Biologics
Explore the molecular basis and biologic applications of ML for early drug discovery.
MODULE 3 Modeling the Biological Underpinning of Disease
Learn about a common representation of biology and disease on a cellular level using AI.
MODULE 4 Biomarkers, Discovery, and Patient Stratification
Consider how AI can assist with identifying biomarkers, disease tracking, and patient stratification.
MODULE 5 Design and Management of Clinical Trials
Explore the impact of ML on the design and management of clinical trials.
MODULE 6 Business and Innovation in Pharma
Consider the business implications of AI in pharma and biotech.
Please note that module titles and their contents are subject to change during course development.
Regina Barzilay
School of Engineering Distinguished Professor for AI and Health; AI Faculty Lead, Jameel Clinic
Barzilay is a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT). She is an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. Her research interests are in machine learning models for molecular modeling with applications to drug discovery and clinical AI. She also works in natural language processing. She is a recipient of various awards and received her PhD in computer science from Columbia University. She also spent a year as a postdoc at Cornell University.
This MIT Sloan online program is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Develop new competencies and earn valuable recognition from an international selection of universities and institutions, entirely online and on your own time frame.
Enjoy a personalized, people-mediated online learning experience that supports you every step of the way.
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.