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MIT: Artificial Intelligence in Pharma and Biotech

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

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

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This course is offered by , an edX partner
6 weeks
6–8 hours per week
Starts Feb 12, 2025
Enroll by Feb 18, 2025
Instructor-paced
Instructor-led on a course schedule

Get more information

Want to know more? Enter your information to learn more about this course from GetSmarter (an edX partner).

Get more information

Want to know more? Enter your information to learn more about this course from GetSmarter (an edX partner).

6 weeks
6–8 hours per week
Starts Feb 12, 2025
Enroll by Feb 18, 2025
Instructor-paced
Instructor-led on a course schedule

About this Course

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 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.

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.

Course curriculum

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Discover AI’s opportunities in biotech and pharma as you work through the weekly modules of this online short course.

Orientation module: Welcome to your Online Campus

Module 1: The landscape of AI in the pharmaceutical industry

Module 2: Using AI for early drug discovery: From small molecules to biologics

Module 3: Modeling the biological underpinning of disease

Module 4: Biomarkers, discovery, and patient stratification

Module 5: Design and management of clinical trials

Module 6: Business and innovation in pharma

About the certificate

Discover how ML is innovating the pharmaceutical and biotech industry and earn an official digital certificate of completion from MIT Sloan.

This program also counts toward an MIT Sloan Executive Certificate, which you can earn upon completion of four programs where at least three of the four come from your chosen certificate track and at least one is completed in person. Find full details here.

Your certificate will be issued in your legal name and sent to you digitally upon successful completion of the program, as per the stipulated requirements.

Some facts about the subject

26%

The number of pharma companies implementing big data and analytics.

Global Data (Jun, 2021).

50%

The number of global healthcare companies that will implement AI strategies by 2025.

USM Systems (Sep, 2022).

Why choose GetSmarter?

GetSmarter, an edX partner, delivers career-relevant, fully supported, and expert-led online courses from the world's leading universities and institutions. As an online learning expert with over 15 years' experience, GetSmarter leverages long-standing expertise in market research, data analysis, and business insights to ensure that you gain the skills critical to career growth.