Connect theory to application with MSOE’s online Master of Science in Machine Learning.

Prepare for the future with a master’s in machine learning.

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ATTEND AS A FULL-TIME STUDENT

Earn your degree faster by choosing the full-time pathway. Complete your master’s in as few as 2 years by taking 2 courses (8 credits) per semester.

ATTEND AS A PART-TIME STUDENT

If a full-time workload is not ideal, the option to complete the program as a part-time student may help you balance your academic and work commitments. Take one course (4 credits) per semester and complete the program in 4 years.

Why Choose MSOE?

Level Up With a 
Cutting-Edge Program

Various industries want your engineering mindset and programming know-how. We developed MSOE’s online M.S. in Machine Learning in partnership with business leaders, and we are always at the forefront of teaching how machine learning is being applied in the real world.

Machine learning and AI skills are not easy to come by for employers, which is why MSOE’s machine learning educational pathways are popular with companies that want to upskill their workforces. Employers around the Midwest know MSOE graduates strong professionals with immediately applicable skills.

Employers Know 
and Trust MSOE

You won’t find TA intermediaries at MSOE. Our online master’s program is taught by our expert faculty members who have real-world experience working with machine learning and AI technologies at companies like Red Hat, AdRoll and NVIDIA. Get direct feedback through synchronous courses and flexible office hours.

Learn Directly From
the Experts

TAKE THE NEXT STEP IN YOUR CAREER WITH MSOE IN YOUR CORNER.

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Enjoy Flexible Pathways to Completion.

Choose from full-Time and part-time course load options:

  • Be the lead architect on complex projects involving machine learning and data science

  • Develop solutions that address competing ethical and professional concerns as both technology and society continue to evolve

  • Analyze complex problems involving advanced applications of machine learning and data science and design solutions that meet relevant business, technical, and ethical standards

  • Apply a rigorous, scientific approach that includes forming research questions, generating hypotheses, designing and executing experiments, and evaluating results to make informed judgments

This program prepares you to:

  • Effectively evaluate and utilize state-of-the-art software and parallel computing hardware in the design and implementation of projects

  • Effectively describe solutions and their implications and communicate results to technical and non-technical audiences

  • Successfully deploy production-quality solutions involving machine learning and data science techniques using current best practices

Application-Based Learning for Now.
Machine Learning and AI Leadership for Tomorrow.

  • Be the lead architect on complex projects involving machine learning and data science

  • Develop solutions that address competing ethical and professional concerns as both technology and society continue to evolve

  • Analyze complex problems involving advanced applications of machine learning and data science and design solutions that meet relevant business, technical, and ethical standards

  • Apply a rigorous, scientific approach that includes forming research questions, generating hypotheses, designing and executing experiments, and evaluating results to make informed judgments

  • Effectively evaluate and utilize state-of-the-art software and parallel computing hardware in the design and implementation of projects

  • Effectively describe solutions and their implications and communicate results to technical and non-technical audiences

  • Successfully deploy production-quality solutions involving machine learning and data science techniques using current best practices

Earn a One-of-a-Kind Master of Science in Machine Learning from Milwaukee School of Engineering

Hiring for machine learning skills is up 417% from 2015.1

Employers need professionals with machine learning and artificial intelligence (AI) experience to process data, make predictions, inform critical decisions, and lead adoption of new technologies. As a distinguished leader in the area of machine learning and applications of AI, MSOE developed this program to meet those needs.

Hiring for machine learning skills is up 417% from 2015.1

Employers need professionals with machine learning and artificial intelligence (AI) experience to process data, make predictions, inform critical decisions, and lead adoption of new technologiesAs a distinguished leader in the area of machine learning and applications of AI, MSOE developed this program to meet those needs.

MSOE’s M.S. in Machine Learning is uniquely designed to focus on development and deployment of machine learning and artificial intelligence (AI) technologies. Secure your place as a leader in the machine learning landscape. 

Program Highlights

Full-Time and and Part-Time Options

Small Class Sizes

100% Online, 
Synchronous Courses

32 Credits to Completion