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Master of Commerce (Decision, Risk and Financial Sciences) (MC-COMDRFS) // Course structure
About this course
Contact
Professor Peter Bossaerts
Associate Professor Carsten Murawski
e: buseco-gradresearch@unimelb.edu.au
For currently enrolled students:
mbs.unimelb.edu.au/students/course-planning
e: buseco-gradresearch@unimelb.edu.au
For future students:
Course structure
The Master of Commerce (Decision, Risk and Financial Sciences) consists of 16 subjects: 6 core subjects (75 points), 3 additional subjects from a related discipline (37.5 points), 3 elective subjects (37.5 points), 2 lab rotations (25 points) and a 2-part research report (25 points).
Year 1
During the first year of the course students complete 6 core subjects and 2 additional subjects from a related discipline (one
of the disciplines covered by the core subjects or other discipline relevant to decision‐making research). The two additional subjects must be approved by the program director.
Year 2
In the final year of the course students complete 1 additional subject from a related discipline (one of the disciplines covered
by the core subjects in Year 1 or other discipline relevant to decision‐making research, 3 electives, 2 lab rotations subjects
and the research report, that must be completed over two consecutive semesters of study. The additional subject and
electives must be approved by the program director.
Progression from Year 2 of the Master of Commerce (Decision, Risk and Financial Sciences) to the Doctor of Philosophy (Business and Economics) requires:
- An average of no less than 75% overall for the course overall; and
- an average of no less than 80% in FNCE90071 DRFS Research Report Part 1 and FNCE90072 DRFS Research Report Part 2.
Subject options
Core Subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90070 | Experimental Methods in Decision Studies | Semester 2 (Online) |
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ECON90002 | Microeconomics | Semester 1 (Online) |
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
PSYC90097 | Mind, Brain & Behaviour 1 | Summer Term (Dual-Delivery - Parkville) |
12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ECOM90002 | Econometrics 2 |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
and
Three additional subjects from a related discipline such as Mathematics, Statistics, Neuroscience, etc. that must be approved by the Program Director.
Elective Subjects
Three elective subjects that must be approved by the Program Director.
Lab Rotation Subjects
Students must complete both subjects.
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90073 | Laboratory Rotation 1 |
Semester 1 (On Campus - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
FNCE90074 | Laboratory Rotation 2 | Semester 1 (Online) |
12.5 |
Research Report
Students must enrol in the Research Report over two consecutive semesters of study.
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90071 | DRFS Research Report Part 1 |
Semester 1 (Online)
Semester 2 (Online)
|
12.5 |
FNCE90072 | DRFS Research Report Part 2 |
Semester 1 (Online)
Semester 2 (Online)
|
12.5 |
Last updated: 14 April 2022