courses

3822

Monash University

Postgraduate - Course

Students who commenced study in 2015 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.

print version

This course entry applies to students commencing this course in 2015 and should be read in conjunction with information provided in the 'Faculty information' section of this Handbook by the Faculty of Business and Economics.

Course code3822
Managing facultyBusiness and Economics
Abbreviated titleMAppEcmets
CRICOS code082327J
Total credit points required96
Standard duration of study (years)2 years FT, 4 years PT
Study mode and locationOn-campus (Caulfield)
Admission, fee and application details http://www.monash.edu/study/coursefinder/course/3822
Contact details

Visit http://www.buseco.monash.edu.au/findoutmore/current-students.html

Course coordinator

Associate Professor Xibin Zhang

Notes

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

Description

This course provides the quantitative skills and expertise required to carry out regression analysis, forecasting and financial market analysis. Students acquire the skills to take responsibility for designing and implementing applied econometric projects and the ability to communicate the results to wider audiences. These skills are extremely attractive to the business and finance community.

Outcomes

These course outcomes are aligned with the Australian Qualifications Framework level 9, the Bologna Cycle 2 and Monash Graduate AttributesAustralian Qualifications Framework level 9, the Bologna Cycle 2 and Monash Graduate Attributes (http://www.monash.edu.au/pubs/handbooks/alignmentofoutcomes.html).

Upon successful completion of this course it is expected that graduates will:

(a.) be critical and creative scholars who:

  • produce innovative solutions to problems
  • apply research skills to business challenges
  • communicate effectively and perceptively

(b.) be responsible and effective global citizens who:

  • engage in an internationalised world
  • exhibit cross cultural competence
  • demonstrate ethical values

(c.) have a comprehensive understanding of econometric methods and be able to provide discipline based solutions relevant to the business, professional and public policy communities we serve

  • have advanced knowledge to master's level in applied econometrics.

Credit for prior studies

Students who enter this course with an undergraduate degree in business or economics or statistics and have achieved at least 65 per cent (or equivalent) in an introductory regression subject (similar to ETF2100/ETC2410) are eligible for credit for up to four units chosen from units at level 2 and 3 in parts (a.) and (b.) of the 'Requirements' for this course.

Students who enter this course with an honours degree in business, economics or statistics and have achieved at least 65 per cent (or equivalent) in an intermediate econometrics subject (similar to ETF3200/ETC3410) are eligible for credit for up to eight units from (a.) and (b.) of the 'Requirements' for this course, with four of those units from level 2 and 3.

Structure

The course has three main components:

  • five compulsory units
  • ten selected units.

Requirements

Students must complete:

(a.) four compulsory units (24 points):

(b.) up to four units (24 points) from the following list, of which no more than 12 points can be level 2 or 3 units

  • ETF3231 Business forecasting or ETC2450 Applied forecasting for business and economics
  • ETF3300 Quantitative methods for financial markets
  • ETF3500/ETC3500 Survey data analysis
  • ETF3600 Quantitative models for business research
  • ETC5340 Principles of econometrics
  • ETC5345 Time series analysis for business and economics
  • ETC5346 Financial econometrics;
  • a maximum of 12 points from units offered by any faculty* with approval from the course coordinator

(c.) at least six units (36 points) chosen from the following list:

  • ETF5200 Applied time series econometrics
  • ETF5300 Applied financial econometrics
  • ETC5410 Bayesian time series analysis
  • ETC5420 Microeconometrics
  • ETC5440 Econometric theory
  • ETC5460 Financial econometrics 2
  • a maximum of 12 points from level-5 units offered by any faculty* with approval from the course coordinator

(d.) the following unit (12 points):

* Suitable units can be identified using the browse units toolbrowse units tool (http://www.monash.edu.au/pubs/handbooks/units/search) in the current edition of the handbook. The level of the unit is indicated by the first number in the unit code. Students must be able to meet any unit prerequisites.

Alternative exit(s)

Students wishing to exit the Master of Applied Econometrics early may apply to graduate with one of the following, provided they have satisfied the requirements for that award:

  • 1679 Graduate Certificate in Business after successful completion of 24 points of study
  • 3848 Graduate Diploma in Business after successful completion of 48 points of study

Award(s)

Master of Applied Econometrics