Master of Applied Econometrics (Enhanced) (MC-AECOENH)

Masters (Coursework)Year: 2025 Delivered: On Campus (Parkville)

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Overview

Award titleMaster of Applied Econometrics (Enhanced)
Year & campus2025 — Parkville
CRICOS code107112C
Fees informationSubject EFTSL, level, discipline and census date
Study level & typeGraduate Coursework
AQF level 9
Credit points200 credit points
Duration24 months full-time or 48 months part-time

The Master of Applied Econometrics (Enhanced) is a four-semester program that focuses on the practical application of advanced econometric modelling techniques. The program provides graduates with extensive knowledge of the most recent research in the disciplines of economics and econometrics, equipping graduates with the skills required to guide and inform evidence-based decision making in a data-driven manner. It consists of an expansive coursework component covering a suite of econometrics offerings including financial econometrics, macroeconometrics, microeconometrics and, time series analysis, as well as providing invaluable experience undertaking research.

Entry requirements

1. In order to be considered for entry, applicants must have completed:


  • An undergraduate or postgraduate degree with a strong analytical and mathematical component with a major in social science, commerce, or stem with a weighted average mark of at least H2B (70%). A first-year statistics subject must have been completed; and
  • A 500 word personal statement outlining why they wish to be considered for the course; and
  • The Graduate Record Examination (GRE) unless the applicant has completed an undergraduate degree in Australia or New Zealand or met one of the approved conditions for GRE exemption.


Meeting these requirements does not guarantee selection.


2. In ranking applications, the Selection Committee will consider:


  • Prior academic performance; and
  • The GRE score unless the applicant has completed an undergraduate degree in Australia or New Zealand or met one of the approved conditions for GRE exemption; and
  • The personal statement.


3. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.


4. Applicants are required to satisfy the university’s English language requirements for graduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required.


Notes:

Applicants with an honours degree in economics with a weighted average mark of at least H2B (70%), or a relevant postgraduate degree with a weighted average mark of at least H2B (70%), who have completed subjects which satisfy the prerequisites for second year subjects in the Master of Applied Econometrics (Enhanced) may be awarded up to 100 points of credit into the Master of Applied Econometrics (Enhanced).

Inherent requirements (core participation requirements)

Inherent requirements are the abilities, knowledge and skills needed to complete this course that must be met by all students. For information on the inherent requirements specific to this course contact the course/program coordinator. In some circumstances reasonable adjustments may be available to enable students to meet these requirements while still preserving the academic integrity of the university's learning, assessment and accreditation processes. For more information on how to seek these adjustments refer to the Student Equity and Disability Support website: https://services.unimelb.edu.au/student-equity/home

Intended learning outcomes

1. Learning Goal

Graduates of this degree will develop skills in the practical application of econometric modelling techniques.

Learning objectives to achieve this goal

On successful completion of this degree students will be able to:

  • Apply the appropriate economic concepts to formulate plans of analysis that employ modern econometric practice
  • Apply modern econometric methods covering time series analysis, financial econometrics, microeconometrics, macroeconometrics and structural econometric modelling
  • Interpret and critically evaluate applied economics research literature; demonstrate programming skills and numerical methods
  • Apply methods learned to address policy and business decision questions.

2. Learning Goal

Graduates of this degree will develop analytical skills in the application of econometric theory, knowledge, principles, techniques, and data.

Learning objectives to achieve this goal

On successful completion of this degree students will be able to:

  • Describe and explain the body of knowledge, including recent developments in the applied econometrics literature
  • Critically evaluate and employ applied techniques
  • Synthesise the best practice techniques in empirical modelling.

3. Learning Goal

Graduates of this degree will be independent in their choice, planning, implementation and reporting of an empirical project involving the application of economic analysis and econometric techniques.

Learning objectives to achieve this goal

On successful completion of this degree students will be able to:

  • Evaluate the applicability of various theories and techniques to economic policy or decision-making related problems
  • Employ a range of econometric techniques pertinent to the evaluation of evidence in economics
  • Conduct econometric analysis confirming with academic ethical principles
  • Use evidence-based research techniques to support decisions
  • Demonstrate a capacity to successfully work independently with personal accountability
  • Plan and execute a research-based project, utilising modern econometric methods.

4. Learning Goal

Graduates of this degree will be problem solvers capable of explaining, applying, and critically evaluating the use of econometric models for description and hypothesis testing, forecasting, and assessing different economic policy and decision-making options.

Learning objectives to achieve this goal

On successful completion of this degree students will be able to:

  • Generate and interpret results of econometric analysis using a range of econometric packages
  • Analyse and evaluate the key hypotheses, forecasts, and options in either economic policy or decision making
  • Effectively communicate findings from econometric analysis.

Generic skills

On successful completion of this course students should have improved the following generic skills:

  • Critical evaluation of ideas, views, and evidence in support of an argument or proposition
  • Problem solving through the application of appropriate economic theories, principles, and the econometric analysis of data
  • Communication of economic and econometrics ideas, theories, and responses to peers and the wider community
  • Ability to synthesize ideas, theories, and data in developing solutions to economics problems
  • Ethical approaches to research and practice
  • Research including the retrieval of information from a variety of sources
  • Receptiveness to ideas and independence in thinking.

Graduate attributes

On successful completion of this degree graduates will be:

  • Receptive to alternate ideas through a review of the literature and through class participation and assessment
  • Ethical in their approach to research and work practices
  • Advanced in their use, critical evaluation and testing of econometric models and in forecasting and assessing economic policy and decision-making options
  • Adept at reasoning in econometrics
  • Skilled in undertaking independent research using applied econometric techniques
  • Critically analytical through the evaluation of ideas, views and evidence contained in the econometric research literature
  • Skilled in working effectively with computer software for the analysis of data
  • Adept at retrieval, summary, and interpretation of economic and econometric information through class exercises and assessment
  • Able to apply and synthesise econometric ideas, theory, models, and evidence
  • Effective communicators of results from econometric analysis.

Course structure

The Master of Applied Econometrics program consists of 16 subjects, comprising six core subjects, eight elective subjects and two capstone subjects.

Semester 1, Year 1 

Students complete three core subjects (37.5 points):

Code Name Study period Credit Points
BUSA90520 Data Wrangling and Visualisation
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90001 Basic Econometrics
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90024 Forecasting in Economics and Business
Semester 1 (On Campus - Parkville)
 12.5


Students complete 1 Elective Subject (12.5 points) selected from:

Code Name Study period Credit Points
ECON90016 Environmental Economics and Strategy Not available in 2025 12.5
ECON90034 Economics of Finance
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
ECON90047 Macroeconomics 2 Not available in 2025 12.5
 
Code Name Study period Credit Points
ECON90075 Economic Analysis and Policy
Semester 1 (On Campus - Parkville)
 12.5
ECON30001 International Trade Policy
Semester 2 (On Campus - Parkville)
 12.5
ECON30005 Money and Banking
Semester 1 (On Campus - Parkville)
 12.5
ECON30010 Microeconomics
Semester 1 (On Campus - Parkville)
 12.5
ECON30020 Mathematical Economics
Semester 2 (On Campus - Parkville)
 12.5
ECON30024 Economics of Financial Markets
Semester 1 (On Campus - Parkville)
 12.5

Or any other elective subject approved by the Program Director


Semester 2, Year 1

Students complete two core subjects (25 points):

Code Name Study period Credit Points
ECOM90002 Econometrics 2
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
ECOM90025 Advanced Data Analysis
Semester 2 (On Campus - Parkville)
 12.5

And one core subject (12.5 points) selected from:

Code Name Study period Credit Points
ECOM90003 Applied Microeconometric Modelling
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90004 Time Series Analysis and Forecasting
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECON90033 Quantitative Analysis of Finance I
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5


Students complete 1 Elective Subject (12.5 points) selected from:

Code Name Study period Credit Points
ECON90015 Managerial Economics
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECON90034 Economics of Finance
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECON90045 Microeconomics 2 Not available in 2025 12.5
ECON30002 Economic Development Not available in 2025 12.5
ECON30003 Industrial Economics Not available in 2025 12.5
 
Code Name Study period Credit Points
ECON30019 Behavioural Economics
Semester 2 (On Campus - Parkville)
 12.5
ECON30022 Experimental Economics
Semester 2 (On Campus - Parkville)
 12.5
ECON30029 International Macroeconomics Not available in 2025 12.5
ECON30030 Topics in Asian Economic History
Semester 2 (On Campus - Parkville)
 12.5
ECON90080 Macroeconomics
Semester 2 (On Campus - Parkville)
 12.5

Or any other elective subject approved by the Program Director


Semester 1, Year 2

Students complete 1 Capstone Subject (12.5 points) selected from:

Code Name Study period Credit Points
ECOM90026 Econometrics Research Report Part 1
Semester 1 (Extended) (On Campus - Parkville)
 12.5
ECOM90013 Econometrics 3
Semester 1 (On Campus - Parkville)
 12.5

Note: ECOM90013 Econometrics 3 is a concurrent prerequisite for ECOM90026 Econometrics Research Report Part 1.


Students complete 1 elective subject (12.5 points) selected from:

Code Name Study period Credit Points
ECOM90007 Macroeconometrics Not available in 2025 12.5
 
Code Name Study period Credit Points
ECOM90023 Treatment Effects and Program Evaluation
Semester 1 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECON90010 Quantitative Analysis of Finance II
Semester 1 (On Campus - Parkville)
 12.5


Students complete 2 elective subjects (25 points) selected from:

Code Name Study period Credit Points
ECOM90007 Macroeconometrics Not available in 2025 12.5
 
Code Name Study period Credit Points
ECOM90013 Econometrics 3
Semester 1 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90023 Treatment Effects and Program Evaluation
Semester 1 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90521 Supply Chain Analytics Not available in 2025 12.5
 
Code Name Study period Credit Points
BISY90017 Quant. Decision Making & Optimisation
September (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECON90010 Quantitative Analysis of Finance II
Semester 1 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90473 Business Practicum
Semester 1 (Off Campus)
Winter Term (Off Campus)
Semester 2 (Off Campus)
 12.5
 
Code Name Study period Credit Points
BUSA90485 Global Business Practicum
Summer Term (Off Campus)
July (Off Campus)
November (Off Campus)
 12.5
 
Code Name Study period Credit Points
BUSA90525 Business and Economics Internship
Summer Term (Off Campus)
Semester 1 (Early-Start) (Off Campus)
Semester 2 (Early-Start) (Off Campus)
 12.5
ECOM90020 Computational Economics and Business
Semester 1 (On Campus - Parkville)
 12.5

Or any elective approved by the Program Director


Semester 2, Year 2

Students complete 1 Capstone Subject (12.5 points):

Students who have completed ECOM90026 Econometrics Research Report Part 1 select:

Code Name Study period Credit Points
ECOM90027 Econometrics Research Report Part 2
Semester 2 (Early-Start) (On Campus - Parkville)
 12.5


Students who have not completed Econometrics Research Report Part 1 select one 1 subject from:

Code Name Study period Credit Points
ECOM90008 Microeconometrics
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90011 Financial Econometrics Not available in 2025 12.5
 
Code Name Study period Credit Points
ECOM90012 Modelling the Australian Macroeconomy Not available in 2025 12.5


Students complete 3 elective subjects (37.5 points) selected from:

Code Name Study period Credit Points
ECOM90003 Applied Microeconometric Modelling
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90004 Time Series Analysis and Forecasting
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90008 Microeconometrics
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
ECOM90011 Financial Econometrics Not available in 2025 12.5
 
Code Name Study period Credit Points
ECOM90012 Modelling the Australian Macroeconomy Not available in 2025 12.5
 
Code Name Study period Credit Points
ECOM90017 Econometrics of Markets and Competition
Semester 2 (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90473 Business Practicum
Semester 1 (Off Campus)
Winter Term (Off Campus)
Semester 2 (Off Campus)
 12.5
 
Code Name Study period Credit Points
BUSA90485 Global Business Practicum
Summer Term (Off Campus)
July (Off Campus)
November (Off Campus)
 12.5
 
Code Name Study period Credit Points
BUSA90525 Business and Economics Internship
Summer Term (Off Campus)
Semester 1 (Early-Start) (Off Campus)
Semester 2 (Early-Start) (Off Campus)
 12.5

Or any elective approved by the Program Director


Graduate Diploma in Applied Econometrics

Students enrolled in the Master of Applied Econometrics (Enhanced) who are either unable, or who choose not to continue with their studies, may be eligible to exit with a Graduate Diploma in Applied Econometrics. Students must have successfully completed a total of eight Year 1 subjects from the Master of Applied Econometrics (Enhanced), comprised of three core economics and five core econometrics subjects.

Last updated: 21 February 2025