Introduction to Big Data Analytics in Finance credit:

3 Hours

Introduces students to big data analytics in finance through guided use of core tools such as data visualization, regression, machine learning, and A/B testing. Emphasis is on building foundational competence with structured datasets and interpreting results in business contexts. Students develop practical skills for analyzing and communicating insights, preparing them for internships and entry-level roles where data-driven decision-making is essential. 3 undergraduate hours. No graduate credit. Prerequisite: MATH 220 or MATH 221 or MATH 234 ; STAT 100 and CS 105 or CS 107 ; FIN 321 . Restricted to Finance or Finance + DS majors.