Prescriptive Analytics for Business (BSAN3209)
Information valid for Semester 1, 2025
Course level
Undergraduate
Faculty
School
Business School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Seminar 3 Hours/ Week
Incompatible
BISM3209
Prerequisite
BISM2204 or BSAN2204
Course enquiries
Doctor Zara Taba (Semester 1, Regular, St Lucia, In person)
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
The use of analytics to support decision making is the goal of prescriptive analytics. Optimisation and simulation techniques are often the focus of prescriptive analytics exercises and are the primary focus of this course. These methods - optimisation and simulation techniques - provide analysts with powerful frameworks to solve business problems and guide decision making. The course brings these techniques to life using the R software to solve practical business problems.
Archived offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2024 (19/02/2024 - 15/06/2024) | St Lucia | In Person | Course Profile |
Semester 1, 2023 (20/02/2023 - 17/06/2023) | St Lucia | In Person | Course Profile |
Semester 1, 2023 (20/02/2023 - 17/06/2023) | External | External | Course Profile |