Master of Data Science and Artificial Intelligence - Plan MC292

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Master of Data Science and Artificial Intelligence - Plan MC292

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Student type:

Domestic International

Entry score:: Not applicable

Duration:: Full-time 2 years; Part-time 4 years

Fees:: AU$38,400 (2027 annual)

Next intake:: February, July

Location:: Melbourne City

Entry score:: See admissions

Duration:: Full-time 2 years

Fees:: AU$47,040 (2027 annual)

Next intake:: February, July

Location:: Melbourne City

To graduate you must complete the following. All courses listed may not be available each semester.

You must complete a total of 192 credit points as follows:

Year 1: Ninety-Six (96) credit points of core courses;
Year 2: Forty-Eight (48) credit points of core courses and Forty-Eight (48) credit points from your chosen specialisation (listed at the end of the program structure).

Complete exactly 96 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Programming Fundamentals	12	COSC2531	City Campus
Database Concepts	12	ISYS1055	City Campus
Professional Practice and Case Studies in Data Science and AI	12	COSC1521	City Campus
Practical Data Science with Python	12	COSC2670	City Campus
Applied Analytics	12	MATH1324	City Campus
Foundations of AI for STEM	12	COSC2959	City Campus
Introduction to AI Tools and Applications	12	COSC1522	City Campus
Data Science and AI in Practice	12	COSC1530	City Campus

Complete exactly 48 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Computational Machine Learning	12	COSC2793	City Campus
Computing Research and Project Preparation	12	COSC3130	City Campus
Introduction to MLOps	12	COSC1504	City Campus
Applied Technology Project	12	COSC1528	City Campus

AND

Complete 48 credit points from your chosen Data Science and AI Specialisation listed at the end of this program structure.

From your chosen Data Science and AI Specialisation listed at the end of this program structure.

Complete exactly 48 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Advanced Programming for Data Science	12	COSC2820	City Campus
Data Engineering Pipelines and DataOps	12	COSC1523	City Campus
Big Data Processing	12	COSC2637	City Campus
Data Visualisation and Communication	12	MATH2270	City Campus
Cloud Computing	12	COSC2640	City Campus
Cloud Foundations and Security	12	COSC3181	City Campus
Cloud Architecting and Operations	12	COSC3182	City Campus
Managing Semi-structured and Unstructured Data	12	ISYS3476	City Campus
Big Data Management	12	COSC2636	City Campus

OR

Complete exactly 48 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Algorithms and Analysis	12	COSC3119	City Campus
Artificial Intelligence	12	COSC3117	City Campus
Generative Artificial Intelligence	12	COSC1499	City Campus
Agentic Artificial Intelligence	12	COSC1489	City Campus
Programming Autonomous Robots	12	COSC2781	City Campus
Intelligent Decision Making	12	COSC2780	City Campus
Deep Learning	12	COSC2779	City Campus

OR

Complete exactly 48 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Data Visualisation and Communication	12	MATH2270	City Campus
Analysis of Categorical Data	12	MATH1298	City Campus
Applied Bayesian Statistics	12	MATH2269	City Campus
Optimisation for Decision Making	12	MATH2468	City Campus
Advanced Optimisation	12	MATH1326	City Campus
Multivariate Analysis Techniques	12	MATH1309	City Campus
Regression Analysis	12	MATH1312	City Campus
Time Series Analysis	12	MATH1318	City Campus
Forecasting	12	MATH1307	City Campus

OR

Complete exactly 48 credit points from the following:

Course Title	Credit Points	Course Code	Campus
Digital Strategy	12	INTE1030	City Campus
Leading in the Age of Digital Disruption	12	BUSM2518	City Campus
Data Architecture, Ethics & Governance	12	ISYS3484	City Campus
Leading AI and Workforce Transformation	12	BUSM2675	City Campus
Building AI-native Products and Ventures	12	BUSM2685	City Campus

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