Master of Science in Data Science and Analytics - Engineering Analytics

The Engineering Analytics concentration provides students with the skills to analyze and process large-size and complex data, to utilize proper methodology in identifying problems, formulating mathematical or algorithmic models, and to solve problems arising from engineering applications, including product design, process design, manufacturing execution, inventory management, production planning, quality control, economic analysis of engineering decisions. Earn your Master’s in Data Science and Analytics with a 30-credit-hour program designed to help you turn raw data into powerful business insights. You’ll learn to analyze both structured and unstructured data to improve supply chain efficiency, boost productivity, and drive market growth. Gain hands-on experience applying data science to marketing, logistics, and supply chain strategy, while mastering the art of translating complex insights into clear, actionable business decisions. Experiential Learning You will have opportunities for independent study, internships plus you will work on real consulting projects with business clients in different industries.

Admission requirement to the Data Science and Analytics program is completion of at least one semester of calculus.