Master of Data Science - Plan MC267P27

Master of Data Science - Plan MC267P27

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Student type:
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:

$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 One: Seventy-Two (72) credit points of core courses and Twenty-Four (24) credit points from your chosen specialisation listed at the end of the program structure.
  • Year Two: Twenty-Four (24) credit points of core courses, AND select ONE of the following Combinations:
  • Project Combination: One Twenty-Four (24) credit point core course and Forty-Eight (48) credit points from your chosen specialisation listed at the end of the program structure.
  • Research Combination: Thirty-Six (36) credit points of Thesis Option courses and Thirty-Six (36) credit points from your chosen specialisation listed at the end of the program structure.

Complete exactly 72 credit points from the following:

Course Title Credit Points Course Code Campus
Data Visualisation and Communication 12 MATH2270 City Campus
The Data Science Professional 12 COSC2792 City Campus
Advanced Programming for Data Science 12 COSC2820 City Campus
Computational Machine Learning 12 COSC2793 City Campus
Data Engineering Pipelines and DataOps 12 COSC1523 City Campus
Computing Research and Project Preparation 12 COSC3130 City Campus

AND

Complete 24 credit points from your chosen Data Science Specialisation listed at the end of this program structure. However, if you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

Your chosen Data Science Specialisation listed at the end of this program structure. However, if you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

Complete exactly 24 credit points from the following:

Course Title Credit Points Course Code Campus
Big Data Processing 12 COSC2637 City Campus
Advanced Topics in Data Science 12 COSC1529 City Campus

Complete exactly 24 credit points from the following:

Course Title Credit Points Course Code Campus
Data Science Postgraduate Project 24 COSC2667 City Campus

AND

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

Your chosen Data Science Specialisation listed at the end of this program structure.

Complete exactly 36 credit points from the following:

Course Title Credit Points Course Code Campus
Minor Thesis/Project 36 COSC2179 City Campus
Minor Thesis/Project Part A 24 COSC2389 City Campus
Minor Thesis/Project Part B 12 COSC2390 City Campus

AND

Complete 36 credit points from your chosen Data Science Specialisation listed at the end of this program structure. 

Your chosen Data Science Specialisation listed at the end of this program structure. 

If you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

Complete 60 to 72 credit points from the following:

Course Title Credit Points Course Code Campus
Algorithms and Analysis 12 COSC3119 City Campus
Cloud Computing 12 COSC2640 City Campus
Cloud Foundations and Security 12 COSC3181 City Campus
Cloud Architecting and Operations 12 COSC3182 City Campus
Database Applications 12 ISYS3479 City Campus
Managing Semi-structured and Unstructured Data 12 ISYS3476 City Campus
Big Data Management 12 COSC2636 City Campus

If you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

OR

Complete 60 to 72 credit points from the following:

Course Title Credit Points Course Code Campus
Algorithms and Analysis 12 COSC3119 City Campus
Deep Learning 12 COSC2779 City Campus
Introduction to AI Tools and Applications 12 COSC1522 City Campus
Introduction to MLOps 12 COSC1504 City Campus
Advanced Topics in Artificial Intelligence 12 COSC1526 City Campus
Agentic Artificial Intelligence 12 COSC1489 City Campus
Generative Artificial Intelligence 12 COSC1499 City Campus

If you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

OR

Complete 60 to 72 credit points from the following:

Course Title Credit Points Course Code Campus
Algorithms and Analysis 12 COSC3119 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

If you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

OR

Complete 60 to 72 credit points from the following:

Course Title Credit Points Course Code Campus
Algorithms and Analysis 12 COSC3119 City 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
Governance and Change in Digital Business 12 INTE2412 City Campus
Building AI-native Products and Ventures 12 BUSM2685 City Campus

If you have NOT studied 004302 Algorithms and Analysis or equivalent in your undergraduate studies, you must choose 056579 Algorithms and Analysis as one of the specialisation courses in your first year of studies. 

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