Integrative Data Analytics applies scientific and mathematical principles to find nuanced, complex patterns of physical and human behavior in our increasingly data-driven world. The program is inherently interdisciplinary. Students can choose to study purely in data and mathematical sciences or specialize in another discipline such as economics. Students choosing to specialize in another discipline will apply data analysis, mathematical modeling, and computational techniques in courses such as Artificial Intelligence and Machine Learning to solve complex problems in that discipline.
Graduates will be able to work and contribute in a variety of data-driven careers and causes. Business analytics, political science, environmental monitoring, and bioinformatics all rely on sophisticated data expertise. This major couples this discipline-focused training with a broad liberal arts education that will empower our students with the expertise necessary to succeed in this rapidly growing and changing field.
The major has three parts: Entry, Exploration, and Specialization. You will take three Entry courses and three Exploration courses. Depending upon your Specialization, you will take three additional courses and a capstone either in our program or another program. The Entry courses are foundational courses within the discipline. The Exploration courses extend this foundation, while giving you the opportunity to explore some of the discipline’s major sub-fields. The Specialization courses allow you to engage deeply with data analysis in a disciplinary context.
Placement Procedure
Students with an AP score of 4 or more in Statistics may place out of MA 268.
Students with an AP score of 4 or more in CS-A may place out of CS 116.
Students with an AP score 4 or more in Calculus AB or BC may place out of MA 172.
