Management Sciences Launches New Data Analytics Courses
Big data is believed to be the key to the next wave of management innovation, productivity, and growth. Yet, there is a shortage of professionals who can glean meaningful insights from data to make effective decisions.
This winter, Management Sciences is pleased to launch two new courses in Analytics. Taught by Professors Hossein Abouee Mehrizi and Lukasz Golab, both Canada Research Chairs, MSCI 700 Prescriptive Analytics and MSCI 723 Big Data Analytics will offer students an opportunity to gain hands-on experience using data mining and analytics techniques to solve real-world problems in supply chain and inventory management, revenue management, healthcare and service industries.
- understand what data mining is and what it can do, and to understand how data mining algorithms work
- gain hands-on experience in using data mining to solve real world problems
- understand the state of the art in big data systems.
- learn techniques to model the relationships between inputs and outcomes, and construct predictions about future outcomes.
- gain tools to optimize actions against a complex set of objectives to find best practices and design best policies under all circumstances.
- solve practical problems in supply chain and inventory management, revenue management, healthcare and service industries.
NOTE: While MSCI 700 is open to all engineering students, MSCI 723 is primarily intended for MSCI graduate students. Instructor permission will be required for non-MSCI students who are interested in taking this course