School of Business

Business Analytics and Applied AI, B.S.

Curriculum

The Business Analytics and Applied AI major is a program that equips students with advanced skills in programming, statistics, data analysis, and applied artificial intelligence, in the context of real-world business decision-making.

In doing so, students will acquire both the technical expertise and the business acumen necessary to transform data into actionable strategies.

Requirements

14 credits
7 business core courses
4 major core courses
1 capstone
2 electives

Assurance of Learning

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BAN 215

Database Management Systems and SQL for Analytics

To compete in a data-driven world, data analytic skills and database skills are key. This course serves as an introduction to database management systems, SQL as a database language, and database design concepts. We focus on process-driven/structured data and a relational database and use SQL coding techniques to select the right data for further analysis.

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BAN 210

Introduction to Artificial Intelligence for Data Scientists and Business Analysts

This course introduces undergraduate students to the exciting world of Artificial Intelligence (AI) and its impact on business and society. The class is designed for students from all majors, with no prior technical or coding background required.

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DSCI 225

Applied Machine Learning

An investigation into the fundamental techniques and practices of machine learning. The primary activities of the course will be a series of lectures and a corresponding series of lab sessions, programming projects, and written assignments. The course will focus on applying machine learning to practical problems in Data Science and will also introduce the student […]