This course equips students with foundational knowledge and practical skills to apply machine learning in finance, covering use cases such as stock price prediction, credit card fraud detection, and algorithmic trading. By leveraging artificial intelligence, these applications achieve far greater efficiency and effectiveness than traditional human- driven approaches. Designed for business and computer science undergraduates, the course bridges AI and finance, providing valuable tools for pursuing careers in the fast-evolving FinTech industry.
- AUs
- 3.0 AUs
- Grade Type
- None
- Exam
- 30 November 2026, 1.00 pm - 4.00 pm
The Exam information shown may be subject to changes. Students are to check the finalised exam timetable with exam seat information, which will be available at the 'Examination Seating Arrangement' webpage, 2 weeks before start of examination.
Prerequisite graph
Required first
AB0403Decision Making with Programming & AnalyticsAB1202Statistics & AnalysisSC1003Introduction To Computational Thinking & ProgrammingMachine Learning in Finance
Unlocks
Available indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 00456 SEM (1) 0930-1220 Wed FTR | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 |
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