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Data Analysis for Finance (FNCE90083)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
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
On successful completion of this subject students should be able to:
- 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: 31 January 2024
Eligibility and requirements
Prerequisites
Admission into one of the following:
- MC-FINANCE Master of Finance
- MC-FINENH Master of Finance (Enhanced)
AND
Note: the following subject/s can also be taken concurrently (at the same time):
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACCT90002 | Financial Statement Analysis |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
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 |
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: 31 January 2024
Assessment
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: 31 January 2024
Dates & times
- Semester 1
Principal coordinator Joachim Inkmann Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
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: 31 January 2024