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Master of Commerce (Decision, Risk and Financial Sciences) (MC-COMDRFS) // Course structure
You’re currently viewing the 2020 version of this course
About this course
Coordinator
Professor Peter Bossaerts and Dr Carsten Murawski
Contact
Melbourne Business School
Level 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
Course structure
The Master of Commerce (Decision, Risk and Financial Sciences) consists of 16 subjects, comprising 10 core subjects (125 points), 2 elective subjects (25 points) 2 lab rotations (25 points) and a research report (25 points).
Year 1
During the first year of the course students complete 8 core subjects.
Year 2
In the final year of the course students complete 2 core, 2 elective, 2 lab roations subjects and the research report.
Subject options
Core Subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90070 | Experimental Methods in Decision Studies | Semester 2 (On Campus - Parkville) |
12.5 |
FNCE90002 | Foundations of Finance | Semester 2 (On Campus - Parkville) |
12.5 |
ELEN90026 | Introduction to Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ECOM90001 | Basic Econometrics | Semester 1 (On Campus - Parkville) |
12.5 |
ECON90002 | Microeconomics | Semester 1 (On Campus - Parkville) |
12.5 |
NEUR90011 | Molecular and Cellular Neuroscience A | March (On Campus - Parkville) |
12.5 |
PSYC90097 | Mind, Brain & Behaviour 1 | Summer Term (On Campus - Parkville) |
12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ECOM90002 | Econometrics 2 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Elective Subjects
In consultation with a Program Director students choose 2 subjects from the elective list.
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90041 | Finance Theory - Investments | Semester 2 (On Campus - Parkville) |
12.5 |
BMEN90002 | Neural Information Processing | Semester 2 (On Campus - Parkville) |
12.5 |
ECON90022 | Game Theory | Semester 2 (On Campus - Parkville) |
12.5 |
NEUR90009 | Brain Imaging and Neural Networks A | March (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Lab Rotation Subjects
Students must complete both subjects.
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90073 | Laboratory Rotation 1 | Semester 2 (On Campus - Parkville) |
12.5 |
FNCE90074 | Laboratory Rotation 2 | Semester 1 (On Campus - Parkville) |
12.5 |
Capstone Subject
Students must complete both subjects.
Code | Name | Study period | Credit Points |
---|---|---|---|
FNCE90071 | DRFS Research Report Part 1 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
FNCE90072 | DRFS Research Report Part 2 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Last updated: 5 January 2021