MSOE expands AI and machine learning options

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MSOE’s supercomputer, “Rosie,” pictured at left behind glass, is available for undergraduate use as they work to solve real-world problems.

The Milwaukee School of Engineering (MSOE) celebrated its first class of graduates from the Bachelor of Science in Computer Science program in 2022.

Those students moved on to highly lucrative careers at companies large and small, on the coasts, and throughout the nation, Midwest, and Wisconsin. They all were in demand for their skills in artificial intelligence (AI), cybersecurity, machine learning, and next generation technologies. Armed with experience using Rosie (MSOE’s supercomputer) to solve-real world problems for MSOE’s industry partners and guidance from MSOE’s expert faculty, they truly were prepared to hit the ground running.

MSOE continues to be at the educational forefront of AI and machine learning education and is expanding this instruction to all undergraduate programs at the university. Any student at MSOE can earn an Undergraduate Certificate in AI for Emerging Applications. It is an interdisciplinary combined with a practicum experience that allows students from any major to develop a breadth of skills in the emerging realm of AI and apply it directly to their field of study. A new Data Science Minor will be offered in 2023 for all undergraduates as well.

For those looking to advance their skills and careers, MSOE is now offering a Graduate Certificate in Machine Learning that will prepare them to leverage AI and machine learning domains to create innovative, data-driven solutions to problems. And this is just the beginning. In Fall 2023, students can take their studies another step further and pursue a Graduate Certificate in Machine Learning Engineering or Master of Science in Machine Learning.

At the heart of all of this is MSOE’s Dwight and Dian Diercks Computational Science Hall, Rosie the Supercomputer, and the university’s longstanding relationships with business and industry, sequence of asynchronous course work, giving students real-world problems to solve using cutting-edge technologies.