Overview

Not all machine learning is deployed to large clusters; many of our everyday devices like smartwatches and smart thermostats run ML models on low-power embedded computers. The Graduate Certificate in Tiny Machine Learning prepares students to develop and deploy machine learning models for use on embedded systems that use data from on-board sensors and other sources. Students consider tradeoffs in model accuracy, computational power, and energy usage along with security and reliability concerns.

 All 8 credits can be applied towards the Master's in Machine Learning and can be completed in two semesters.

Admissions Requirements

• Technical bachelor's degree
• Programming experience with an object-oriented programming language (C#, Python, or Java)
  • One year of college coursework or equivalent minimum.
  • A data structures course is preferred (can be taken at MSOE if needed)
• At least one year of differential and integral calculus.
• A course equivalent to MSOE's CSC5610 AI Tools and Paradigms (can be taken at MSOE if needed). 

Pathway to a Master's

This online certificate program is an excellent pathway to a bright future working with machine learning and AI technologies, but it is also a stepping stone for the Master of Science in Machine Learning. The certificate to master’s pathway allows you to pursue your education step-by-step with breaks in between. 100% of credits earned in this certificate can be applied toward the MS in Machine Learning degree. Use what you learned from the certificate today, and return tomorrow to continue expanding your skill set. Explore the master's program. 

Alternative Certificate Options

• New to machine learning and AI? The Applied Machine Learning certificate is a great place to start and gain foundational knowledge in this space before continuing into one of our other certificates. 
• You've learned how to create machine learning models, but they aren't very useful sitting on your desktop. Learn how to incorporate them into your software services and products for end users with our Machine Learning Engineering certificate.
• Want to know how to build and deploy your own interactive AI assistants and systems like OpenAI's ChatGPT, Microsoft's Copilot, or Google's Gemini? The Generative AI Production Systems certificate will teach you how to design, implement, and operate your own AI-powered systems.

Why Obtain a Graduate Certificate in Tiny Machine Learning?

Students who complete this certificate will be well positioned for industry roles related to TinyML and Internet of Things. Local companies are increasingly using machine learning to replace hand-written algorithms for embedded systems that control appliances, heavy equipment, and more.  They are eager to hire people who have experience with developing ML solutions that work on these resource-constrained platforms and with the type of data these platforms often encounter.

Further, manufacturing companies are increasingly using sensors anad other real-time information to monitor and guide maintenance and quality control.  By replacing fixed maintenance schedules with data-driven approaches for scheduling maintenance as needed, companies are increasing safety for their workers, reducing costs, and reducing production delays.  These group of approaches are often referred to as the Industrial Internet of Things (IIoT).  The TinyML certificate teaches students about the sensor data, embedded systems,  and machine learning algorithms that form the technological core of IIoT.

Admissions Process

1. Submit application online here.
2. Submit supporting documents to admissions counselor via email.
3. Completed file reviewed by program director for admission decision.
4. Upon acceptance, submit your enrollment deposit to secure your spot in the program.
5. Get access to your myMSOE account and MSOE email.
6. Admissions registers you for appropriate coursework and sends schedule when finalized by the Registrar’s office.
7. You are officially an MSOE Raider!