Massachusetts Institute of Technology
Artificial Intelligence in Pharma and Biotech
Discover the interconnectedness between the science of drug discovery, machine learning, and business decision making.
Starting soon
Start date
29 May 2024
Enroll by 21 May 2024
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 (May, 2020).
Duration: 6 weeks (excluding orientation)
Start fresh this spring by investing in yourself
Gain the skills you need to stand out in your field, strengthen your portfolio, and grow your career.
Take 20% off course fees if you register by April 30. Use code SPRINGWEB24 at checkout.*
*Offer is valid until April 30, 2024 at 11:59 p.m. Eastern Time (U.S.) and applies to any start date for participating courses where registration is currently open as long as you register and pay by April 30, 2024. To redeem the offer for executive education courses, register on getsmarter.com, using code SPRINGWEB24 at checkout. The discount cannot be combined with any other offers for executive education courses.
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.
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.
Course overview
Introduction
Duration: 6 weeks (excluding orientation)
Start fresh this spring by investing in yourself
Gain the skills you need to stand out in your field, strengthen your portfolio, and grow your career.
Take 20% off course fees if you register by April 30. Use code SPRINGWEB24 at checkout.*
*Offer is valid until April 30, 2024 at 11:59 p.m. Eastern Time (U.S.) and applies to any start date for participating courses where registration is currently open as long as you register and pay by April 30, 2024. To redeem the offer for executive education courses, register on getsmarter.com, using code SPRINGWEB24 at checkout. The discount cannot be combined with any other offers for executive education courses.
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.
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.
What will set you apart
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
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
Get more information
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
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.
.png)
Get more information
Want to know more?
Why choose GetSmarter?
GetSmarter operates as edX's partner for premium online short course products from the world's leading universities and institutions. With edX, we leverage our people, technology, and resources to power your education and your potential.
We deliver market-led courses that equip working professionals with the expertise required to upskill, reskill or kickstart a completely new career. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need. We ensure that leading universities and institutions are your expert guides and our people, technology, and resources are your engine – together we power more than just education, we power your potential.
Read more about GetSmarter here and edX here.
Find out more about GetSmarter’s approach to digital learning, course design, and online delivery here.
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.
Manage your time
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.
Seek employer assistance
By improving your skills and industry knowledge, you'll have an influence on the success of your organization. Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?
Of our past students, 37 percent have received financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to request financial assistance from your employer.
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.
How to change your start date
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 see the list of university partner login pages here.
