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Economics● OpenMastersPreview

Master of Applied Econometrics

Master advanced econometric modelling and big data techniques in a three-semester program.

Best for:Best for quantitative graduates in economics, mathematics, or analytics looking to specialize in econometric modelling and big data.

The University of Melbourne · Parkville, Australia · R1 · First-stage researcher
More professors at The University of Melbourne
Econometric ModellingBig Data AnalyticsApplied StatisticsEconomic Data Analysis
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
3 semesters
Start date
flexible
Temporary
Location
Parkville
Australia

Overview

The Master of Applied Econometrics at The University of Melbourne is a rigorous three-semester coursework program designed for students with strong quantitative backgrounds in economics, analytics, or mathematics. Hosted by the Melbourne Business School, the curriculum focuses on the practical application of advanced econometric modelling and statistical methods to economic data. As industries increasingly rely on big data and information technologies, the program prepares graduates to meet the growing demand for specialized economic analytics skills. Applicants are expected to possess solid foundational knowledge in mathematics and statistics, along with a focused personal statement detailing their motivation for joining.

EconometricsMaster DegreeQuantitative EconomicsMelbourne Business SchoolStatistical Methods

What you'll do

  • Complete coursework across a structured three-semester curriculum
  • Apply advanced econometric modelling techniques to real-world economic data
  • Analyze large datasets using modern statistical and computational tools
  • Engage with analytical problem-solving exercises integrating economics and mathematics

Requirements

Degree required: Undergraduate or postgraduate degree with a strong analytical or mathematical component

Degree offered: Master of Applied Econometrics

Language: English proficiency as per standard university admission requirements

Instruction: English

Required skills
  • Completed an undergraduate or postgraduate degree with a strong analytical or mathematical component
  • Achieved a Weighted Average Mark (WAM) of at least 70% or equivalent
  • Completed a first-year statistics subject
  • Completed the Graduate Records Examination (GRE) unless exempted
Nice to have
Prior academic background in economics or data analyticsDemonstrated experience working with statistical software or programming languages
Eligibility
  • Applicants who completed an undergraduate degree in Australia or New Zealand are exempt from the GRE requirement
  • Must meet approved conditions for GRE exemption if applying from outside Australia or New Zealand

Funding & terms

Type
Unknown
Amount
—
Duration
3 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
Not confirmed by the source
Prerequisites
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Submit your application through the official university course portal along with academic transcripts and a personal statement. Ensure all prerequisite criteria, including statistics coursework and GRE requirements if applicable, are fulfilled prior to submission.

Documents required
  • Undergraduate or postgraduate transcripts
  • 500-word personal statement
  • GRE score report (unless exempt)
↗Check programme and admissions

Contact

Lab
Melbourne Business School
The University of Melbourne
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.