Macquarie University

Master of Data Science

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Acquire key skills in data management on and off the cloud, machine learning, statistical modelling and big data technologies.

Course overview

Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time.
24 months (Full time)
Price Per Unit
From $4,137.5
More Information
The estimated per-unit fee is calculated using the annual average first-year fee. It is based on a full-time study load of 40 cp (4 units) per semester or 80 cp (8 units) per year.
Campus
Sydney City
Intake
New start dates announced soon
Units
16
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To graduate with a Master of Data Science, you must earn 160 credit points. Each unit is valued at 10 credit points.

Foundation Zone

  • Foundations of Computer Programming
  • Data Science
  • Big Data
  • Database Systems
  • Management of IT Systems and Projects
  • Statistical Technologies for Data Science
  • Statistical Methods for Data Science
  • Statistical Inference for Data Science

Core Zone

  • Big Data Technologies
  • Mining Unstructured Data
  • Applications of Data Science
  • Information Systems Project and Risk Management
  • Statistical and Machine Learning Methods
  • Bayesian Data Analysis
  • Major Project

Entry requirements

Two years (full-time, or equivalent duration if available part-time)

  • AQF level seven bachelor's qualification in a related discipline or recognised equivalent.

One year (full-time, or equivalent duration if available part-time)

  • AQF level eight bachelor honours or graduate diploma qualification in Data Science.
  • AQF level seven bachelor in Data Science and a WAM of +65.

Recognition of Prior Learning

With recognition of prior learning (RPL), you could get credit for your prior study and experience, reducing the duration of your studies. Credit is awarded for formal and informal or non-formal learning. You’ll need to apply for RPL once you receive your offer to study at Macquarie.

Outcomes

Career outcomes

  • Business or venture analyst
  • Consultant
  • Data analyst
  • Entrepreneur
  • Financial adviser or analyst
  • Government adviser
  • Information technology analyst
  • Market analyst
  • Web producer

Fees and FEE-HELP

Estimated annual fee in 2025: $33,100 (domestic full-fee paying place)

The estimated fee displayed is based on a standard full-time study load. Fees may increase each year. For courses longer than one year in duration, you'll pay the fee that is current for the year that you enrol.

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.