FIN201 – Quantitative Applications in Finance Course

Quantitative Applications in Finance

Quantitative Applications in Finance focuses on the underpinning quantitative concepts and techniques required in today’s financial markets to interpret and forecast financial data. This firstly includes discussion of fundamental statistical concepts with specific reference to their financial application, and then explores hypothesis testing, linear regression and time-series analysis.

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Subject overview

STUDY MODE

100% online

AQF LEVEL

NEXT INTAKE

19 Oct 2026

SUBJECT DURATION

12 weeks

SUBJECT FEE

$2,850.00

FIN201 develops your ability to apply quantitative concepts and analytical techniques used in today’s financial markets. The subject covers fundamental statistical concepts and their financial applications, including hypothesis testing, linear regression and time-series analysis, and uses these tools to examine risk and return, asset pricing models, and portfolio construction.

Students interpret economic, business and investment performance data using key data analysis and modelling techniques, developing practical quantitative strategies applicable in financial industry roles. The subject also builds critical evaluation skills through reading and critiquing financial journal articles, including assessing methodologies and conclusions.

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Subject information

Learning Outcomes

At the completion of this subject, individuals should be able to:

Examine and apply the various quantitative techniques used to describe, estimate and evaluate data and interpret the results.
Conduct independent research and evaluate the strengths and limitations of statistical analysis techniques in finance.
Apply quantitative techniques to describe financial data and test claims of performance.
Analyse the factors that influence the risk and return of asset classes and financial securities.
Assess and interpret the results from statistical models used in estimating the value of financial assets and constructing efficient portfolios.
Apply spreadsheet applications to perform statistical analysis.

Topics covered

Fundamentals of quantitative applications, including statistics, probability, measures of central tendency and dispersion
Probability distributions, including discrete and continuous distributions, normal and lognormal distributions
Sampling techniques, estimation, and confidence intervals
Hypothesis testing and its application to investment performance and ethical standards
Correlation, covariance, causation, and their role in portfolio analysis
Simple and multiple linear regression analysis using Microsoft Excel
Time-series analysis models and their application to financial forecasting
Risk and return analysis, portfolio performance measurement, and benchmarking
Asset pricing models, including factor models, CAPM, and APT
Portfolio optimisation techniques and construction using Microsoft Excel Solver

Reading list

Prescribed text

There is no prescribed text for this subject. Individuals are provided with key readings and access to Kaplan Professional’s online databases. Individuals are encouraged to research and read widely on the topic.

Assessments

Assessment Type	Assessed	Weighting
Task	Week 4	20%
Presentation and Written Assignment	Week 7	40%
Assignment	Week 12	40%

Click here for an assessment timetable.

Previous study requirements

Duration

The duration of this subject is one study period (12 weeks).

Prerequisites

There are no prerequisites for this subject. However, individuals should review the ‘Assumed Knowledge’ tab to understand the prior knowledge Kaplan advises they should hold before enrolling in this subject.

Assumed knowledge

Whilst there are no prerequisites for this subject, Kaplan assumes that individuals have completed FIN101 Financial Markets and Economic Principles, and FIN103 Financial Analysis and Valuation, or understand the content covered in those subjects, prior to undertaking FIN201 Quantitative Applications in Finance.

Course transition subject equivalence

Individuals may not be required to complete this subject if they have transitioned from a SIA/Finsia/Kaplan course and have completed the following subjects: