DATA-DRIVEN INVESTMENTS LAB
This course is part of the data-driven investments curriculum designed to equip students with an analytical quantitative investment toolkit. Students work in groups to develop, test, and implement investment strategies using Python. The investment strategies are driven using a range of datasets provided by the instructors. Students first explore the data and develop trading ideas and then simulate implementation of their chosen strategy. The course emphasizes understanding the sources of investment performance through analyses of factor and sector exposures, attribution analysis, and performance evaluation. Graduate/Undergraduate Equivalency: MGMT 767 . Mutually Exclusive: Cannot register for BUSI 449 if student has credit for MGMT 767 .
Prerequisites & course information
Short Title: DATA-DRIVEN INVESTMENTS LAB Department: Business Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): BUSI 448
Sources
- Course catalogue ↗2026–2027