Data Analysis for Finance (FNCE90083)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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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

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: 4 March 2025

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 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
ECON90033 Quantitative Analysis of Finance I
Semester 1 (On Campus - Parkville)
Semester 2 (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 1 (On Campus - Parkville)
Semester 2 (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: 4 March 2025

Assessment

DescriptionTimingPercentage

Take-home group assignment 1 (up to 3 people per group)

  • 1000 words
Week 620%

Group Presentation (up to 3 people per group)

  • 10 minutes
Week 910%

Take-home group assignment 2 (up to 3 people per group)

  • 1000 words
Week 1220%

Final Examination

  • 2 hours
During the examination period50%

Last updated: 4 March 2025

Dates & times

  • Semester 1
    Principal coordinatorJoachim Inkmann
    Mode of deliveryOn Campus (Parkville)
    Contact hours
    Total time commitment170 hours
    Teaching period 3 March 2025 to 1 June 2025
    Last self-enrol date14 March 2025
    Census date31 March 2025
    Last date to withdraw without fail 9 May 2025
    Assessment period ends27 June 2025

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: 4 March 2025

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: 4 March 2025