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Algorithmic Trading (FNCE30010) // Eligibility and requirements
Eligibility and requirements
Prerequisites
One of:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| COMP20007 | Design of Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
| FNCE30001 | Investments |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
(FNCE30001 may be taken concurrently)
- It is strongly recommended that FNCE30001 be taken concurrently in addition to the completion of COMP20007 as prerequisite -
and one of:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ECOM20001 | Introductory Econometrics |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
| ECON20003 | Quantitative Methods 2 |
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 1 (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: 15 January 2025