As a continuation of BR2211, this course aims to introduce advanced data analytics models in the context of finance and risk management. It discusses how these models work, how and when they can be used, and how they should be interpreted, exemplified with real-world applications, such as predicting insurance losses, assessing credit quality, etc. At the end of the course, you will be able to apply various data analytics techniques to solve practical problems in finance and risk management. The course uses the open-source software R.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | BR2211 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | 00385 SEM (1) 1430-1720 Thu ABS LT10 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 |