Investment firms increasingly draw from big data as they manage their financial assets. The growing relevance of big data in the investment industry increasingly requires that students who are interested in a career in finance be deeply familiar with big data and the use of big data in investments. The goal of this course is to provide interested students with such knowledge and insight. Students will learn about the different types of big data and how they may be applied to different types of investment styles. Students will learn how to program in SAS. Students will utilize their newly acquired programming skills in a series of hands-on projects with actual, real-world data and learn how to incorporate both structured and unstructured big data into their investment decisions. While the course will focus on equity investing, the knowledge and skills acquired in this course are easily transferable to other financial assets, such as fixed income securities and real estate.
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | AB1201, BF2201 |
| Not Available To Programme | |
| Not Available To All Programme With | (Admyr 2021-onwards) |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | BF3228 |
| Not Offered As BDE | Yes |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |