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Algorithmic Trading (FNCE30010) // Eligibility and requirements
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Eligibility and requirements
Prerequisites
Both of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
FNCE30001 | Investments |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
(FNCE30001 may be taken concurrently)
One of:
and one of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM20001 | Econometrics 1 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ECON20003 | Quantitative Methods 2 |
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST20005 | Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
MAST20004 | Probability | Semester 1 (On Campus - Parkville) |
12.5 |
MAST20006 | Probability for Statistics | Semester 1 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Knowledge of Python is a benefit.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 27 April 2024