WATCH THE PROGRAM DEMO VIDEO

WATCH THE PROGRAM DEMO VIDEO

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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI

Demystify machine learning through computational engineering principles and applications in this two-course program from MIT

WATCH THE PROGRAM DEMO VIDEO

Submit your information to discover what makes this machine learning program different and how you'll learn with MIT xPRO.

By submitting your information, you are agreeing to receive periodic information about online programs from MIT related to the content of this course.

A HANDS-ON APPROACH TO ENGINEERING PROBLEM-SOLVING

The advent of big data, cloud computing, and machine learning are revolutionizing how many professionals approach their work. These technologies offer exciting new ways for engineers to tackle real-world challenges. But with little exposure to these new computational methods, engineers lacking data science or experience in modern computational methods might feel left behind.

This two-course online certificate program brings a hands-on approach to understanding the computational tools used in modern engineering problem-solving. 

Leveraging the rich experience of the faculty at the MIT Center for Computational Science and Engineering (CCSE), this program connects your science and engineering skills to the principles of machine learning and data science. With an emphasis on the application of these methods, you will put these new skills into practice in real time.

ENROLL NOW

AFTER THIS PROGRAM, YOU WILL:

COURSES IN THIS PROGRAM

The MIT xPRO Learning Experience

We bring together an innovative pedagogy paired with world-class faculty.

THIS PROGRAM IS FOR YOU IF...

You have a bachelor's degree in engineering (e.g., mechanical, civil, aerospace, chemical, materials, nuclear, biological, electrical, etc.) or the physical sciences.


You have proficient knowledge of college-level mathematics including differential calculus, linear algebra, and statistics.


You have some experience with MATLAB (R). Programming experience is not necessary, but knowledge of MATLAB (R) is very useful.


Your industry is or will be impacted by machine learning.


Prepare for this program with free online resources.

 

What Learners Are Saying

MIT xPRO learners are not only scientists, engineers, technicians, managers and consultants – they are change agents. They take the initiative, push boundaries, and define the future.

Vivian_DSouza

Vivian D'Souza, Model Based Systems Analysis Engineer at Dana Incorporated

"The course was a fantastic blend of concepts and practical applications. Professor Youssef's content is unmatched to other similar courses that I've tried, and not to mention his enthusiasm for the topic is contagious."

Rachael Naoum

Rachael Naoum, Product Definition Engineer at Dassault Systems

"I loved this course. At first, I was a bit intimidated, it's been a while since I've done any hardcore math. However, the layout of this course made it super easy to follow along with all the concepts and I felt very well-guided throughout the graded assignments. I like how the lectures are broken into short videos for each topic, making it easy to replay and digest. Very well-thought-out course."

Tolga Kaya

Tolga Kaya, Professor of Electrical and Computer Engineering at Sacred Heart University

"This course allowed me to dig deeper [into] the foundations of machine learning and the underlying mechanism of the main algorithms that are used. As a MATLAB user, I particularly appreciated the utilization of MATLAB instead of straight black box python libraries."

MLx_Bear

Bill Bear, Agile Transformation Coach

"Great course for learning the concepts and methods behind machine learning! The course was prepared and delivered in a thoughtful way that provided good challenges and plenty of helpful information. This is just the kind of result that I have come to expect with MIT xPRO."

Juharasha_Shaik

Juharasha Shaik, Senior Staff Software Engineer at Visa

"This course has helped me gain more understanding of the various algorithms that can be applied to the problems that we face during data analysis and modeling. I definitely recommend this course [for a] great understanding of the available tools/algorithms/methods to analyze various use cases and help model the solution."

MIT FACULTY

MLx_Marzouk

Youssef M. Marzouk

Faculty Co-Director of MIT Center of Computational Engineering, Professor of Aeronautics & Astronautics and Director of Aerospace Computational Design Laboratory, MIT

George Barbastathis

George Barbastathis

Professor of Mechanical Engineering, MIT

Heather Kulik

Heather Kulik

Associate Professor of Chemical Engineering, MIT

John Williams

John Williams

Professor Civil & Environmental Engineering, MIT

Themistoklis Sapsis

Themistoklis Sapsis

Associate Professor of Mechanical & Ocean Engineering, MIT

Buehler

Markus Buehler

McAfee Professor of Engineering & Head, Department of Civil & Environmental Engineering, MIT

Richard Braatz

Richard Braatz

Edwin R. Gilliland Professor of Chemical Engineering, MIT

Justin Solomon

Justin Solomon

Associate Professor of Electrical Engineering and Computer Science, MIT

Laurent Demanet

Laurent Demanet

Professor of Applied Mathematics & Director of MIT's Earth Resources Laboratory

NOT READY TO ENROLL?

WATCH A FREE DEMO VIDEO.

Machine Learning offers important new capabilities for solving today’s complex problems, but it’s not a panacea. To get beyond the hype, engineers and scientists must discern how and where machine learning tools are the best option — and where they are not.

Submit your information in the form above and watch a short demo video on the online program — what makes it different from other machine learning courses, what you'll learn, and how you will learn it.

Propel Your Career On Your Terms

Technology is accelerating at an unprecedented pace causing disruption across all levels of business. Tomorrow’s leaders must demonstrate technical expertise as well as leadership acumen in order to maintain a technical edge over the competition while driving innovation in an ever-changing environment.

MIT uniquely understands this challenge and how to solve it with decades of experience developing technical professionals. MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals build their skills on the job.

Embrace change. Enhance your skill set. Keep learning. MIT xPRO is with you each step of the way.

Have questions about the program?