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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1 Retrieved July 20, 2022, from bain.com/insights/tech-talent-war-tech-report-2021/
© Milwaukee School of Engineering
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.
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.
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.
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.
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
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
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.
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.
Full-Time and and Part-Time Options
Small Class Sizes
100% Online,
Synchronous Courses
32 Credits to Completion
1. Retrieved July 20, 2022, from bain.com/insights/tech-talent-war-tech-report-2021/
© Milwaukee School of Engineering
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