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Economics● OpenMastersPreview

Master of Applied Econometrics

Advanced degree in econometrics to equip professionals with data-driven decision-making skills for modern business challenges.

Best for:Best for graduates with a strong quantitative background in STEM or business, aiming to specialise in econometrics and data modelling for business innovation.

Monash University · Caulfield, Australia
More professors at Monash University
Econometric modellingQuantitative data analysisBusiness analyticsEmpirical data modellingStatistical methods in economics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on entry level and duration)
Full-time
Location
Caulfield
Australia

Overview

The Master of Applied Econometrics at Monash University is designed for graduates seeking to specialise in quantitative data analysis and econometric modelling. This programme focuses on applying advanced econometric techniques to solve real-world business problems, preparing students for careers in data-driven industries. The curriculum integrates theoretical knowledge with practical applications, ensuring graduates can interpret empirical data and develop innovative solutions. It caters to both recent graduates and professionals with relevant experience, offering flexible study options to accommodate diverse backgrounds.

EconometricsBusiness data modellingQuantitative analysisSTEM economicsApplied statisticsBusiness analyticsData-driven decision makingEmpirical research methods

What you'll do

  • Develop advanced econometric models to analyse complex business data.
  • Apply quantitative techniques to solve real-world business problems.
  • Interpret and communicate empirical findings to stakeholders.
  • Engage in coursework and projects focusing on econometric theory and applications.
  • Collaborate on research projects that integrate econometrics with business strategy.

Requirements

Degree required: An Australian bachelor degree (or equivalent) with at least a high credit (65% or equivalent GPA) in a STEM or business area that includes relevant quantitative units (e.g., statistics or mathematics).

Language: English proficiency (not explicitly stated but implied for academic programme).

Instruction: English

Required skills
  • Proven academic performance in STEM or business with a minimum GPA of 65%.
  • Completion of foundational units in statistics or mathematics.
  • Strong quantitative and analytical skills.
  • Ability to work independently and collaboratively on academic projects.
Nice to have
Prior experience in econometrics or statistics units.Professional experience in data analysis or business-related fields.
Eligibility
  • Australian bachelor degree (or equivalent) with a minimum GPA of 65%.
  • Completion of a first-year statistics or mathematics unit (Entry Level 1).
  • Completion of an advanced unit on econometrics or statistics (Entry Level 2).
  • OR two years of relevant professional experience in a STEM or business field (Entry Level 2).

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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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
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Deadline: unknown

Applicants must apply directly through Monash University’s official application portal. Ensure all required academic transcripts and supporting documents are submitted. The application process includes providing proof of degree completion, relevant units, and professional experience if applicable.

Documents required
  • CV or resume
  • Academic transcripts (Bachelor’s degree)
  • Proof of English proficiency (if applicable)
  • Statement of purpose or personal statement
  • Letters of recommendation (if required)
  • Proof of relevant professional experience (if applicable)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.