Monash University

Postgraduate - Course

Students who commenced study in 2012 should refer to this course entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course.

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This course entry should be read in conjunction with information provided in the 'Faculty information' section of this Handbook by the Faculty of Business and Economics

Managing facultyBusiness and Economics
Abbreviated titleGradDipAppEcmets
CRICOS code050635F
Total credit points required48
Standard duration of study (years)1 year FT, 2 years PT
Study mode and locationOn-campus (Caulfield)
Admission, fee and application details
Contact details

Graduate Student Office

Telephone: +61 3 9903 1400

Fax: +61 3 9903 1357


Course coordinator

Ms Gerrie Roberts


  • Unit codes that are not linked to their entry in the handbook are not available for study in the current year.


This course is designed to provide quantitative skills to graduate students in business or other disciplines.


The learning goals associated with this course are to:

  • develop the ability to locate, evaluate and reference appropriate data for project requirements
  • apply econometric techniques to real world data including basic tools for regression analysis, time series methods and forecasting
  • use econometric software to assess the strengths and weaknesses of these techniques
  • judge the value of empirical results
  • participate effectively as part of a research team
  • design and implement an applied econometric project and communicate results to a wider audience.


The course structure has two main components:

  • a set of core units in econometrics
  • three open electives.


Students must complete:

(a.) one core unit (6 points)

(b.) one of the following units (6 points)

  • ETC2440 Mathematics for economics and business
  • ETF2700 Mathematics for business

(c.) four units (24 points) from the following list, including at least one of those marked with an asterisk (*):

  • ETC2430 Actuarial statistics
  • ETC2450 Applied forecasting for business and economics
  • ETC2520 Probability and statistical inference for economics and business
  • ETC3400 Principles of econometrics
  • ETC3410 Applied econometrics
  • ETC3420 Bayesian modelling and risk analysis
  • ETC3450 Time series analysis for business and economics
  • ETC3460 Financial econometrics
  • ETF2480 Business modelling
  • ETF3200 Applied econometrics*
  • ETX2121 Data analysis in business
  • ETX3231 Business forecasting
  • ETF3300 Quantitative methods for financial markets*
  • ETF3600 Quantitative models for business research*

(d.) a further two units (12 points) subject to the following conditions:

  • may be taken from disciplines offered by another faculty
  • may be taken from any Faculty of Business and Economics programs and campuses.

Additional degree requirements:

  • Students with suitable backgrounds may be permitted to substitute approved alternative units for those required in (a.) and (b.) above.

Progression to further studies

Students who successfully complete the Graduate Diploma in Applied Econometrics may be eligible for admission to 3822 Master of Applied Econometrics subject to satisfying the appropriate entry requirements. For details visit

Alternative exit(s)

Students wishing to exit the Graduate Diploma in Applied Econometrics early may apply to graduate with the Graduate Certificate in Business after successful completion of 24 points of study.


Graduate Diploma in Applied Econometrics