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Finance and Accounting Analytics (FNCE90079)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | January |
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Fees | Look up fees |
Finance and Accounting Analytics examines how financial statement data, financial market data and non-financial metrics are associated with firm value and performance. The subject will explore how to use statistical modelling to determine the primary drivers of firm value and performance and the evolution of market prices. Topics include: performance analytics, valuation analytics, credit analytics, risk analytics, portfolio analytics and market analytics. The subject will also examine the use of prediction models to detect financial reports and transactions that may have been manipulated by managers.
Intended learning outcomes
On completion of this subject, students should be able to:
- Use data from financial statements to model and explain the factors driving firm performance.
- Use financial statement data and forecasting techniques to predict future firm performance.
- Apply appropriate data and modelling skills to predict earnings management.
- Use financial statement and other data to explain and predict market prices.
- Examine the role of data in understanding and analysing key financial concepts including value, risk and credit.
Generic skills
- High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.
- Moderate level of development: written communication; critical thinking; receptiveness to alternative ideas.
- Some level of development: collaborative learning; team work
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code
Name
Teaching period
Credit Points
BUSA90060
Data Analysis
12.5
BUSA90093
Financial Management
12.5
BUSA90001
Financial Accounting
12.5
and
70% minimum grade required in each subject
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
Melbourne Business School welcomes applications from eligible students for a variety of graduate degrees offered by its programme portfolio. These degrees require following attributes for academic study:
• The ability to explain and evaluate concepts, theories, and business operations of organisations
• Ability to use analytic techniques to solve business problems
Melbourne Business School welcomes applications from students with disabilities and takes reasonable steps to implement adjustments to provide equal participation opportunities for students with disability.
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Individual assignment (short answer questions)
| Week 4 | 20% |
Syndicate assignment. Each syndicate includes 5 – 6 syndicate members and students are assessed as a group.
| Week 8 | 20% |
Final examination
| End of term | 60% |
Last updated: 3 November 2022
Dates & times
- January
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 170 hours Pre teaching start date 6 January 2020 Pre teaching requirements students are required to complete approximately 15 hours of reading to prepare for the subject during pre-teahcing period Teaching period 13 January 2020 to 19 March 2020 Last self-enrol date 7 January 2020 Census date 24 January 2020 Last date to withdraw without fail 28 February 2020 Assessment period ends 27 March 2020
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 3 November 2022