Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer
Terry Pan
Room 524, Building 4ER
Friday 3pm-5pm
Kai Li
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to MFin or ((Admission to MCom in Finance or MBkgFin) and 30cp at 6000 level or above)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit describes and analyses the methodology of contemporary research in banking and finance. It covers quantitative and qualitative methods to assist students to conduct further research in the future. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Late submissions of assessments
Unless a Special Consideration request has been submitted and approved, no extensions will be granted. There will be a deduction of 10% of the total available assessment-task marks made from the total awarded mark for each 24-hour period or part thereof that the submission is late. Late submissions will only be accepted up to 96 hours after the due date and time.
No late submissions will be accepted for timed assessments – e.g., quizzes, online tests.
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of available assessment task mark) |
Example: for a non-timed assessment task marked out of 30 |
< 24 hours |
10% |
10% x 30 marks = 3-mark deduction |
24-48 hours |
20% |
20% x 30 marks = 6-mark deduction |
48-72 hours |
30% |
30% x 30 marks = 9-mark deduction |
72-96 hours |
40% |
40% x 30 marks = 12-mark deduction |
> 96 hours |
100% |
Assignment won't be accepted |
Other assessment criteria for assessment tasks will be provided on the unit iLearn site.
Name | Weighting | Hurdle | Due |
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Data Analysis Project | 15% | No | Week 7 |
Research Proposal | 40% | No | Week 12 |
Assignment | 45% | No | Week 13 |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 10 hours
Due: Week 7
Weighting: 15%
A project will be designed to test the knowledge of data analysis using statistical software packages.
Assessment Type 1: Project
Indicative Time on Task 2: 30 hours
Due: Week 12
Weighting: 40%
The task involves development of a research proposal, a presentation and an individual literature review. The group work (including research proposal and presentation) is worth 30% and the individual task (that is, the literature review) is worth 10%.
Assessment Type 1: Project
Indicative Time on Task 2: 15 hours
Due: Week 13
Weighting: 45%
The assignment will consist of two components. The first component will require students to use relevant software to conduct quantitative analysis. The second component will require students to use the research skills learned to evaluate and connect papers related to finance issues or problems.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Required Text: | There is no prescribed textbook. Readings (where applicable) are taken from relevant academic books and journals. Refer to iLearn for further details. |
Unit Web Page: | Access to iLearn |
Technology Used and Required: |
• Internet access • Software for producing presentations • Open-source software (R) for reproducible research. • Zoom for online lectures |
Delivery Format and Other Details: |
General Information: This course introduces you to the fundamentals of doing research. The course is designed to introduce you to an understanding of a variety of different methods, basic programming skills using R, study designs and the fundamentals of qualitative and quantitative analysis. You will apply the skills by developing your own research questions, study design and project relevant to your studies or professional lives. The course will also provide a foundation to those of you who plan to conduct further research as part of your postgraduate studies. No prior knowledge or experience in research is required to take this course, apart from the prerequisites listed. The course is aimed at the postgraduate level Timetable: See timetable for classes on the University web site at: https://timetables.mq.edu.au/2022/
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Pls refer to iLearn.
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Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
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Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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Macquarie University offers a range of Student Support Services including:
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Unit information based on version 2022.03 of the Handbook