Course duration
6 weeks
Excluding orientation
Language
English
Access resources from start date
Effort
6–8 hours per week
Self-paced learning online
Course overview
The number of pharma companies implementing big data and analytics.
Global Data (Jun, 2021).
The number of global healthcare companies that will implement AI strategies by 2025.
USM Systems (Sep, 2022).
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. 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 this course for you?
If you are a scientist, researcher, or specialist in the pharmaceutical and biotech industry, 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
Introduction
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. 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 this course for you?
If you are a scientist, researcher, or specialist in the pharmaceutical and biotech industry, 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.
What will set you apart
Course curriculum
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
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Faculty Director
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
Explore the innovations that machine learning is bringing to 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.
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Payment options
You can pay your course fees before the course starts, or you may opt for a split payment plan on courses that are nine weeks and shorter. For courses 10 weeks and longer, there is a three-part payment plan available. To find out more about payment options please visit our Payment and Financing page, or contact an Enrollment Adviser, to find out which option you qualify for.
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GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.
At the beginning of each module you'll be presented with the course content and assignments necessary for completion. You also have access to your Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have.
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If you are a Learning & Development (L&D) manager, or involved in training and upskilling for an organization, you can request information regarding our corporate offering on our GetSmarter for business page.
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As part of our commitment to your professional development, GetSmarter offers you a two-week period to change your course start date or request your money back if you’re not fully satisfied.
To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Advisers before the release of Module 2. For more information, please read our Terms and Conditions.
Discover the Online Campus
The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats including: interactive videos, module notes, practice quizzes, presentations, assignment briefs, and additional web resources.
On the Online Campus, you'll also be able to ask questions and interact with your fellow students and teaching team through the discussion forums. If you are looking for your Online Campus login, please visit your Account page here.
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