# Master of Data Science

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# Master of Data Science

- #1[in Australia for Data Science and AI](https://about.unimelb.edu.au/facts-and-figures#statstable)
- #19[university in the world](https://about.unimelb.edu.au/facts-and-figures#statstable)

- 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](https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/how-to-apply/#nav)

Fees

Commonwealth Supported Places (CSPs) available\
[Learn more](https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/fees/#nav)

Entry schemes

Access Melbourne is available\
[Learn more](https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/entry-requirements/#nav)

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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](https://study.unimelb.edu.au/find/courses/graduate/graduate-diploma-in-data-science) or a University of Melbourne [Data Science undergraduate major](https://study.unimelb.edu.au/find/courses/major/data-science) (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 subject**or 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**

### Explore this course

Explore the subjects you could choose as part of this degree.

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