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Unit of study_
FINC6028: Artificial Intelligence in Finance
2026 unit information
This postgraduate-level unit provides students with advanced financial and technological competencies essential for today's competitive market. Through lectures, tutorials, individual assignments, and group projects, students will critically engage with AI-driven analytics methods addressing real-world financial problems. Emphasis will be placed on practical implementation, critical evaluation, and innovative problem-solving skills within asset management and financial analytics.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
|---|---|
| Academic unit | Finance |
| Credit points | 6 |
|
Prerequisites:
?
|
FINC5001 |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
None |
| Assumed knowledge:
?
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None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
There are no availabilities for this year.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 1 2026
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
There are no availabilities for previous years.
Find your current year census dates
Modes of attendance (MoA)
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