Handbook home
Finance and Accounting Analytics (FNCE90079)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | October - Dual-Delivery |
---|---|
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: 30 January 2024
Eligibility and requirements
Prerequisites
70% minimum grade required in each subject below:
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90060 | Data Analysis |
July (On Campus - Parkville)
January (Dual-Delivery - Parkville)
September (On Campus - Parkville)
April (Dual-Delivery - Parkville)
|
12.5 |
BUSA90093 | Finance |
July (On Campus - Parkville)
January (Dual-Delivery - Parkville)
September (On Campus - Parkville)
April (Dual-Delivery - Parkville)
|
12.5 |
BUSA90001 | Financial Accounting |
April (Dual-Delivery - Parkville)
July (On Campus - Parkville)
September (On Campus - Parkville)
January (On Campus - Parkville)
|
12.5 |
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: 30 January 2024
Assessment
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: 30 January 2024
Dates & times
- October
Mode of delivery Dual-Delivery (Parkville) Contact hours Total time commitment 170 hours Pre teaching start date 4 October 2021 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period Teaching period 11 October 2021 to 3 December 2021 Last self-enrol date 5 October 2021 Census date 22 October 2021 Last date to withdraw without fail 12 November 2021 Assessment period ends 10 December 2021
Last updated: 30 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 30 January 2024