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Bay Path University Partners with Google for Applied Computing Series

LONGMEADOW — Bay Path University announced a new collaboration with Google to offer computer science, data science, and machine-learning courses to its undergraduate students. Bay Path is one of only four colleges and universities and the only women’s college selected nationally to collaborate with Google to pilot all three offerings in its new Applied Computing Series. 

“Bay Path students from just about every discipline have been engaged in our Google partnership courses during the pilot period,” said Tom Loper, associate provost and Dean for Bay Path University’s School of Science and Management. “They have been learning how to program using Python, and they love it. As they approach increasingly challenging problems with Python, they are learning how to ‘think like a data scientist,’ just as one of the course titles suggests. We could not be more pleased with the quality of the learning process. Our faculty have truly enjoyed collaborating with their Google colleagues, as well as the faculty from other colleges and universities in the partnership.”

These courses aim to increase undergraduate access to quality data science and machine-learning education by leveraging new technologies and teaching styles. The Applied Computing Series teaches the foundations of computer and data science through hands-on, project-based course content, topically designed to attract students who might not consider themselves destined for a technology career.

The most advanced of these offerings, the Applied Machine Learning Intensive, will be a 10-week summer program designed to offer non-computer science majors a crash course in data engineering and machine learning. All the courses leverage tools and techniques used at Google and in the wider tech industry, while also teaching the non-tech skills needed for success in every industry, such as critical thinking and problem-solving, collaboration, and the ability to communicate and network.

The learning content for the Applied Computing Series is distributed via a ‘flipped classroom’ model of instruction, where students review, study, and practice material on their own, then work on collaborative projects in groups with coaching by their instructors. To develop the most robust curriculum, Google is building these courses in partnership with highly-regarded computer-science academics. The Google instructional team builds the centralized content and in-class projects so that students have relevant, real-world problems to solve; the courses are then facilitated by Bay Path University faculty in STEM-adjacent fields. 

Students participating in the program develop skills that will position them for entry-level positions in the burgeoning machine-learning workforce; work with Google engineers to learn about the tech industry’s working environments, challenges, and nuances; and immerse themselves in a project-based curriculum to help reinforce the computer- and data-science principles they are learning.

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