Master of Data Science

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Graduate Coursework

Master of Data Science

• 1in Australia for Data Science and AI

• 19university in the world

• Course code: MC-DATASC

Domestic student Change

Duration

2 years full time / 4 years part time

Mode (Location)

On campus (Parkville)

Intake

March\ Key dates

Fees

Commonwealth Supported Places (CSPs) available\ Learn more

Entry schemes

Access Melbourne is available\ Learn more

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Course structure

Course structure

Overview

This page currently displays the 2025 Start Year course structure. The 2026 structure is available in the Handbook and will be published here shortly.

Course structure

All students must complete:

• 75 points of Core subjects
• 25 points of Capstone subjects
• 100 points of a formal Specialisation

Note that Foundation Subjects can be used to meet the prerequisites for the Core Subjects. These Foundation Subjects count towards your Specialisation 100 points.

First, you’ll need to look at whether you need any foundation subjects to meet the Core Subjects prerequisites:

• If you have a statistics background, you’ll complete computer science foundation subjects.
• If you have a computer science background, you’ll complete statistics foundation subjects.
• If you meet both the computer science and statistics core subject~~s~~ prerequisites, no foundation subjects are needed.
• If you do not have a computer science or statistics background, you will complete both the statistics and computer science foundation subjects to satisfy the Core Subject prerequesites.

If you are coming from the Graduate Diploma in Foundational Data Science or a University of Melbourne Data Science undergraduate major (or equivalent), you may be eligible for an accelerated 1.5-year (150-point) program, receiving up to 50 points of credit.

Once you’ve taken care of any Core Subject prerequisites, you can choose from a diverse list of data science and professional skills electives within each specialisation. If you’d like to gain experience in a science and technology workplace or with research, you can do an 80–100-hour internship subjector take on an additional research project (subject to progress in the course).

All students undertake a data science capstone project, over one academic year, working on a practical data science research question either individually or as part of a team.

Specialisation options

Foundational Data Science Specialisation

This Specialisation is tailored for students without a related background in Computer Science or Statistics. Non-credit exemptions will be granted for any Foundation subjects completed before enrolment.

Students complete:

• 50 points of Statistics Foundation subjects
• 50 points of Computer Science Foundation subjects

Students with a background in a related discipline may choose to enrol in this Specialisation if they wish to complete additional Discipline Elective subjects.

Statistical Data Science Specialisation

To enrol in this Specialisation, students must have completed at least 25 points in Statistics Foundation subjects. Non-credit exemptions will be granted for any Foundation subjects completed before enrolment.

Students complete:

• 12.5 points of core subjects:
• 12.5 points from Statistics Core Discipline subjects
• 87.5 points of elective subjects:
• 12.5 points of Statistics Discipline subjects
• 62.5 - 75 points from Statistics Foundation, or Computer Science Foundation, or Statistics Discipline, or Computer Science Discipline, or Internship subjects
• At most 12.5 points from General Discipline Subjects

Computational Data Science Specialisation

To enrol in this Specialisation, students must have completed at least 25 points in Computer Science Foundation subjects. Non-credit exemptions will be granted for any Foundation subjects completed before enrolment.

Students complete:

• 12.5 points of core subjects:

• 12.5 points from Computer Science Core Discipline subjects

• 87.5 points of elective subjects:

• 12.5 points of Computer Science Discipline subjects
• 62.5 - 75 points from Statistics Foundation, or Computer Science Foundation, or Statistics Discipline, or Computer Science Discipline, or Internship subjects
• At most 12.5 points from General Discipline Subjects

Computational and Statistical Data Science Specialisation

To enrol in this Specialisation, students must have completed at least 50 points across Computer Science Foundation subjects, or Statistics Foundation subjects. Non-credit exemptions will be granted for any Foundation subjects completed before enrolment.

Students complete:

• 25 points of core subjects:
• 12.5 points from Statistics Core Discipline subjects

• 12.5 points from Computer Science Core Discipline subjects

• 75 points of elective subjects:

• 12.5 points of Statistics Discipline subjects
• 12.5 points of Computer Science Discipline subjects
• 32.5 - 50 points from Statistics Foundation, or Computer Science Foundation, or Statistics Discipline, or Computer Science Discipline, or Internship subjects
• At most 12.5 points from General Discipline subjects

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