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Data Analysis for Finance (FNCE90083)
Graduate courseworkPoints: 12.5Not available in 2020
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.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
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This subject introduces students to principles and applications of data analysis for finance. Concepts covered include data collection, processing and management, relevant theory in statistics, econometrics and machine learning, programming in relevant languages and data presentation. Specific topics include data sourcing, processing and cleaning, summarizing and visualizing data; multiple regression, time-series models, panel data techniques and causal inference; machine learning and classification methods, model selection and assessing model performance, unsupervised learning and textual analysis. Students will become proficient in relevant programming languages such as Python or R.
Intended learning outcomes
- Develop proficiency with relevant software and programming languages for complex data analysis tasks with finance applications
- Demonstrate the ability to source, process and clean complex data from a variety of sources
- Understand the methods and principles of summarizing and visualizing data
- Understand the relevant theoretical principles behind data analysis, including statistics, econometrics and machine learning
- Develop skills in presenting data analysis for a variety of audiences in written form
Generic skills
- Oral and written communication
- Problem solving
- Application of theory to practice
- Team work
- Critical thinking
- Evaluation of data
- Using Computer Programs
- Statistical Reasoning
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Entry into the Master of Finance (MC-FINANCE) or the Master of Finance (Enhanced) (MC-FINENH)
AND
ALL of the following subjects, noting that these subjects may also be taken concurrently:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON90033 | Quantitative Analysis of Finance I |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ECON90034 | Economics of Finance |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ACCT90002 | Financial Statement Analysis |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
FNCE90047 | Financial Markets and Instruments |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
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 |
---|---|---|
Take-home group assignment 1 (up to 3 people per group)
| Week 6 | 20% |
Group Presentation (up to 3 people per group)
| Week 9 | 10% |
Take-home group assignment 2 (up to 3 people per group)
| Week 12 | 20% |
Final Examination
| During the examination period | 50% |
Last updated: 3 November 2022
Dates & times
Not available in 2020
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
To be advised by the subject coordinator
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022