MIT Sloan School of Management

Artificial Intelligence in Pharma and Biotech

Curriculum: Learn how to leverage AI to drive innovation. Drug discovery, clinical trials, biological modeling, etc.
Fully Online: Includes interactive videos, module notes, assignments, quizzes, and more.
Faculty: Learn from industry experts. Get 1:1 support. Receive a dedicated Success Adviser and access to discussion forums.

Start date

01 July 2026

Price

$3,250 USD

Installment Plan

89%

Student Satisfaction

Cohort-based learning

Group learning, expert guidance

6 weeks

Excluding orientation

English

Access resources from start date

6–8 hours per week

Self-paced learning online

ABOUT THIS COURSE

Course overview

The overall experience of the course was highly positive, leaving a lasting impression due to its comprehensive and well-structured content. The material was thoughtfully designed, striking a perfect balance between theoretical depth and videos application. Real-world examples and hands-on exercises enhanced the relevance and applicability of the concepts, significantly enriching my understanding of the topic.

Rajan P. | IT Support Executive, Biosimilar Sciences India LLP

I really enjoyed the material — it struck the perfect balance between being accessible for someone with minimal background and in-depth enough to spark deeper investigation. The course content was engaging, and it motivated me to dive further into AI research outside the class. My understanding of AI expanded drastically.

Michelle O., PhD | Global Head of Labs and Centers, CIC Innovation Centers

Duration: 6 weeks (excluding orientation)

The impact of artificial intelligence (AI) and machine learning (ML) technologies on innovation is undeniable, and the pharma and biotech industries are the latest sectors to be affected. The connection between drug discovery, technology, and business is now clear, and leaders and scientists need to be better equipped to leverage new developments in AI and ML to remain competitive.

The MIT Sloan School of Management's Artificial Intelligence in Pharma and Biotech online short course provides insights into how technology is currently being applied in the pharmaceutical industry. Over six weeks, you will learn how ML is driving new drug discovery, how AI can create more accurate biological and generative modeling, and how ML can streamline the design and management of clinical trials. Through a combination of theoretical and practical study, participants will gain an understanding of how AI can assist with tasks like biomarker identification, disease tracking, and patient stratification in clinical trials. By exploring the benefits and challenges of these technologies, you will be better equipped to make informed, innovative decisions within this rapidly evolving field.

Is the MIT Sloan AI in Pharma and Biotech course for you?

This course is suitable for a variety of professionals in the pharmaceutical and biotech space, from individual contributors working on clinical trials to leaders in charge of broad decision making. If you are a scientist, researcher, or specialist, you can learn about different AI and ML tools and how to apply them in your work and research. This course is also suitable for individuals in leadership positions within the pharma business sector, providing practical and strategic knowledge that can be applied to drug discovery, clinical trials, and pharmaceutical sales. Furthermore, this course will benefit data scientists and analytics professionals by bridging the gap between analysis and application.

Course overview

Duration: 6 weeks (excluding orientation)

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Leading organisations recognise the value of this course and invest in it to enhance their employees' skills and expertise.

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What will set you apart

On completion of this course, you’ll walk away with:

The knowledge and skills to leverage AI within pharmaceutical and biotech organizations.

Insight into the impact of ML on generative modeling for small molecule drug discovery and biomarker identification.

The ability to apply technology in areas including disease modeling, therapeutic effects, patient response predictions, and patient health monitoring.

An understanding of how ML can assist in effectively designing and managing clinical trials.

Course curriculum

Explore the vast opportunities presented by AI in the biotech and pharmaceutical industries 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

Faculty Director

The design of this online short course is guided by MIT Sloan faculty, as well as industry experts, who will share their experience and in-depth knowledge with you throughout the program. View the brochure to see all the industry thought leaders featured in this program.

Regina Barzilay

School of Engineering Distinguished Professor for AI and Health, MIT Center for Machine Learning in Health; AI Faculty Lead, Jameel Clinic

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.

MIT Sloan Artificial Intelligence in Pharma and Biotech online program certificate

YOUR INFORMATION

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FAQ

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