Not currently offered

Credit points: 15

Subject outline

In this subject, you will develop your quantitative data analysis skills and learn techniques which are commonly used by researchers to answer important questions and by senior managers in making informed business decisions. Topics in the first component of this subject include; descriptive statistics, probability distributions, parametric estimation methods, parametric and non-parametric hypothesis tests, and both simple and multiple regression analysis. In addition to the linear regression modelling, the subject will cover panel data analysis. This knowledge will then be extended with advanced techniques including limited dependent variable models such as logit, probit models, ordered probit and tobit. Authentic assessments in this subject will promote critical thinking, problem solving and inquiry whilst strengthening your analytical, report writing and communication skills.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorMuhammad Al Mamun

Available to Study Abroad/Exchange StudentsNo

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesLectures, labs sessions, online videos, readings, group discussions, and assessment tasks, interactive lab session, research articles.

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Students must be admitted in one of the following courses: LHCOM, LDPH or Students must have completed BUS1BAN


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Demonstrate the ability to create sound and empirically testable research questions in applied economics, finance and business research.
02. Provide a full and accurate explanation of relevant univariate and multivariate techniques to analyse different types of data and the underlying model assumptions that underpin these techniques.
03. Demonstrate the ability to apply various data analysis techniques using relevant statistical software.
04. Demonstrate the ability to examine empirically research hypotheses whilst interpreting, reporting and presenting data analysis results in a scholarly way.
05. Demonstrate a well-developed judgement in selecting the optimal quantitative test and procedure for solving a given research issue from various quantitative methods that are frequently used in applied economics, finance and business research.

Subject options

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Subject not currently offered - Subject options not available.