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Data Science and Analytics (MS)
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.
Degree Concentrations
Take your career any way you want! Explore the different degree concentrations that we offer for students to personalize their professional future.
The Logistics Analytics concentration prepares you to harness data for smarter supply chain management. You’ll learn to analyze structured and unstructured data to improve efficiency, boost productivity, and drive market growth.
Gain hands-on experience using data science to set supply chain priorities, define key performance indicators, and provide decision-makers with actionable insights—all while developing the ability to translate complex analytics into clear business strategies.
The Business Analytics concentration equips you with the skills to turn complex data into strategic business solutions. You’ll learn to analyze both structured and unstructured data to enhance efficiency, boost productivity, and drive market growth.
Gain hands-on experience using data science to set business priorities, define key performance indicators, and communicate insights in a way decision-makers understand—bridging the gap between data and strategy.
The Computational Data Science concentration provides students with the necessary skills to understand the theory and algorithms utilized in data science and to be able to implement and apply them.
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.
Career Opportunities
Data science roles are available across various industries like health care, finance, technology, retail, marketing, and government with jobs including Data Scientist, Data Analyst, Machine Learning Engineer, Business Analyst, and Analytics Consultant.