Machine learning has been one of the fastest growing fields in all sciences and engineering. Not a day goes by that we hear another story that talks about how machine learning has become part of our lives. The number of applications where machine learning systems make automated decisions in place of humans have grown exponentially. There is a significant demand in this area for qualified professionals, and these professionals have some of the highest starting salary of any profession.
The Certificate of Undergraduate Study (CUGS) in Applied Machine Learning in Engineering will be offered by the Henry M. Rowan College of Engineering, Department of Electrical and Computer Engineering and will consist of four (4) undergraduate-level courses as described below.
A unique aspect of this CUGS is the practical hands-on experience option it provides: the CUGS in Applied Machine Learning in Engineering features four classes all of which featuring their own major project components. This CUGS also provides unique access for non-engineering students to Rowan Engineering’s signature hallmark, the Senior Engineering Clinic, where students work in multidisciplinary teams on real-world unsolved problems. If taken twice across two consecutive semesters (2 credits each, for a total of 4 credits), Senior Engineering Clinic will provide a yearlong experience, which can then be used to count towards one of the electives in the CUGS. To qualify, students will need to take one of several specific sections of Senior Engineering Clinic that focuses on machine learning related projects.
Hence, through this four-class sequence, the Applied Machine Learning in Engineering CUGS will provide breadth and depth in theoretical foundations of machine learning, as well as practical hands-on real-world project experience. As a result of this broad fundamental and practical experience we expect our students to be particularly marketable, attracting high paying salaries.
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