The Financial Analytics program is structured around a core of courses covering data science, risk management and time series, and their applications in finance. The core concludes with a capstone consulting or research experience. You will customize your degree through a set of four electives, including the chance to pursue a structured specialization tailored to your career interests; a close relationship between you and your faculty advisor will help you select the right classes for your future.
Students with backgrounds in finance, accounting or an equivalent discipline will have to take a rigorous course in probability as a prerequisite. Furthermore, for students with limited programming experience, one-credit lab courses in Python, R and other languages are available.
Additional details on any course in the Financial Analytics are available via the Hanlon Financial Systems Center portal.
Courses in this block go beyond important foundational concepts for financial analysts, immersing you in new programming languages, data sets and analytical technologies.