PhD Monitor
/Detail
Economics● OpenMastersPreview

Master of Applied Econometrics (Enhanced)

A two-year advanced master's program focused on practical econometric modelling and big data analysis.

Best for:Best for students with a strong quantitative background in economics or mathematics seeking advanced training in econometric modelling.

The University of Melbourne · Parkville, Australia · R1 · First-stage researcher
More professors at The University of Melbourne
Econometric TheoryApplied EconometricsBig Data AnalyticsStatistical ModellingQuantitative Economics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
unknown
Location
Parkville
Australia

Overview

The Master of Applied Econometrics (Enhanced) at the University of Melbourne is a two-year coursework program designed for students with strong backgrounds in economics, analytics, or mathematics. The curriculum emphasizes the practical application of advanced econometric modelling techniques to real-world economic data. As information technology advances, the program prepares students to leverage big data through rigorous statistical methods. Applicants are expected to demonstrate high academic achievement and a solid foundation in quantitative subjects.

EconometricsMaster of Applied EconometricsQuantitative AnalysisBig DataStatistical MethodsEconomics

What you'll do

  • Engage in advanced coursework focused on econometric modelling techniques.
  • Apply statistical methods to analyze complex economic datasets.
  • Develop proficiency in handling and interpreting big data.
  • Complete a two-year structured curriculum in applied economics.

Requirements

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

Degree offered: Master of Applied Econometrics (Enhanced)

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Weighted Average Mark (WAM) of at least 70% or equivalent.
  • Completion of a first-year statistics subject.
  • Graduate Records Examination (GRE) scores (unless exempt).
  • Strong analytical or mathematical background.
Eligibility
  • Must have completed an undergraduate or postgraduate degree with a strong analytical or mathematical component.
  • Must have completed a first-year statistics subject.
  • GRE required unless holding an undergraduate degree from Australia or New Zealand or meeting specific exemption criteria.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Interested candidates should apply through the official university portal. Applicants must submit a 500-word personal statement explaining their motivation for the course alongside their academic transcripts and GRE scores where applicable.

Documents required
  • Academic transcripts
  • Personal statement (500 words)
  • GRE score report
↗Check programme and admissions
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.