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: BUSI 449 . Mutually Exclusive: Cannot register for MGMT 767 if student has credit for BUSI 449 .
Prerequisites & course information
Short Title: DATA-DRIVEN INVESTMENTS LAB Department: Management Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 3 Restrictions: Enrollment limited to students in the following programs: EMBA HMBA MBA PMBA WMBA XMBA Enrollment is limited to Graduate or Graduate Quadmester level students. Course Level: Graduate Prerequisite(s): MGMT 638 or MGMT 639 (may be taken concurrently)
Sources
- Course catalogue ↗2026–2027