Overview
Data analysis can be used to enhance productivity and increase profits, target medicines and treatments, optimize resource utilization, fight climate change, improve food production, and much more.
Students will learn to understand and apply the foundational concepts and methodologies that constitute data analytics from basic statistics to data visualization to machine learning for descriptive and predictive purposes. This program prepares students to work across diverse industries and organizations. For International students enrolled in these programs, Curricular Practical Training – CPT – will be available for eligible required internships / work placement.
Hybrid Delivery
The program is delivered in a hybrid format in which students complete the program in five terms, with online work during the semester and a three-day on campus residency each semester. Students must attend all residencies to continue enrollment in the program. Please note: Executive programs are a mix of asynchronous and synchronous classes through June 2023. On campus residencies will resume beginning the Summer of 2023.