New machine learning and data science option offers ECE undergrads in-demand skills - College of Engineering - University of Wisconsin-Madison


In the last couple of decades, technology has become very efficient at collecting information from the physical world, including wearable medical sensors, radar systems integrated into automobiles and satellites monitoring earth's climate--as well as from humans by monitoring the decisions they make. But that massive trove of data is mostly useless on its own; sophisticated computer algorithms are needed to find patterns, extract meaning and make predictions from the data. That's why the University of Wisconsin-Madison Department of Electrical and Computer Engineering launched the machine learning and data science option for both undergraduate electrical engineering and computer engineering majors. The option requires 18 elective credits in the 120-hour bachelor's degree consisting of courses focusing on machine learning and data science in engineering. Courses in the option cover coding for data manipulation, analysis, and visualization, and machine learning topics from applied linear algebra and probability through artificial neural networks and deep learning. When students graduate, the option is noted on their transcript, giving them a valuable credential in future employment searches.

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