Master of Applied Data Analytics

What you will study

To gain the Master of Applied Data Analytics, you must complete 100 credit points (CP) comprised of eight subjects. Each subject is valued at 12.5 CP.

Compulsory

Complete the following:

• Critical Thinking with Analytics
• Analytics and Society

Capstone

Complete the following:

• Applied Analytics Capstone Part 1
• Applied Analytics Capstone Part 2

Electives

Complete four of the following:

• Representing Spatial Information
• Business Analytics for Decision Making
• Measurement Analytics
• Social Analytics
• Introduction to Experience Sampling
• Foundations of Analytics
• Designing Analytics Investigations
• Advanced Elements of Analytics
• Regression Methods in Health Research
• Epidemiology 1

Entry requirements

Academic requirements

To be considered for entry into this course, you must have one of the following:

• A bachelor honours degree (or equivalent) in a relevant area.
• A three-year undergraduate qualification AND at least 50 CP (or equivalent) of graduate study in a relevant area.
• A three-year undergraduate qualification in a relevant area AND at least two years of documented relevant work experience.
• A minimum of eight years of documented relevant work experience.

Work experience relevant to this course includes roles/roles in fields that include reporting, analytics, or be related to data, commerce or accounting.

English language requirements

All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test.

If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:

• IELTS (Academic) – 6.5 overall, with no band less than 6.0.
• TOEFL IBT – minimum score of 79, with writing 21; speaking 18; reading 13; listening 13.
• PTE – minimum score of 64, with no communicative skill below 60.
• Cambridge – minimum score of 176, with no skill less than 169.

Recognition of Prior Learning

Prior studies may be credited towards your degree and potentially reduce the duration of your course. This is known as Advanced Standing (also known as credit or recognition of prior learning). Contact the university for more details.

Outcomes

Career outcomes

In the future, data analysts are expected to become critically important across all industries and geographies. With such exponential growth and significant job creations in data-related roles worldwide, graduates of the Mater of Applied Data Analytics will be prepared for future skills requirements.

Graduates will have developed industry specific knowledge and have the ability to create bespoke solutions that improve outcomes. They will be coveted and benefit from one of the fastest-growing industries and highest paid jobs worldwide.

Learning outcomes

On completion of the Master of Applied Data Analytics you will be equipped to:

• Derive key insights and measure the impact of data analytics.
• Use data to make informed business decisions and gain commercial advantage.
• Confidently communicate analytical findings to clients, colleagues, executives and key decision-makers.

Fees and FEE-HELP

Indicative total course fee in 2025: $38,408 (Domestic full-fee paying place)

Unless otherwise noted, the indicative total course fee shown above assumes a study load of 1 EFTSL (equivalent full time study load) commencing semester one of the listed year, except for courses with a duration of less than 1 EFTSL.

A student’s annual fee may vary in accordance with:

• The number of units studied per term.
• The choice of major or specialisation.
• Choice of units.
• Credit from previous study or work experience.
• Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.