Master of Data Science

What you will study

To complete the Master of Data Science, you must complete 48 credit points taken from the following units. Each unit is valued at three credit points.

Core units

• Introduction to Statistics
• Regression Modelling
• Inf. Sc. Research Methodology
• Pattern Recognition and Machine Learning
• Introduction to Data Science
• Exploratory Data Analysis and Visualisation
• Data Capture and Preparations
• Programming for Data Science
• Technology Capstone Research Project
• AR/VR for Data Analysis and Communication

Part A - Must select one of the following

Sports Analytics specialization - Must pass 12 credit point as follows

• Sport Informatics and Analytics
• Performance Analysis in Sport
• Athlete Monitoring
• Applied Data Analysis in Sport

Business Intelligence specialization - Must pass 12 credit points as follows

• Econometrics
• Business Intelligence Systems
• Database Systems
• Data Analytics and Business Intelligence

AI and Computational Modelling specialization - Must pass 12 credit points as follows.

• Artificial Intelligence Techniques
• Soft Computing
• Computer Vision and Image Analysis
• Data Science Technology and Systems

- Awards: To have a specialisation on his or her testamur, a student must complete all units listed in that specialisation. Otherwise, students can choose and mix the units as they prefer.

- The Sports Analytics specialisation and the relevant units may no longer be available from 2026 onwards. Students are advised to contact scitech-studentenquiries@canberra.edu.au for further info.

No Specialisation - Must pass 12 credits points from the following

• Econometrics
• Business Intelligence Systems
• Database Systems
• Artificial Intelligence Techniques
• Soft Computing
• Data Analytics and Business Intelligence
• Computer Vision and Image Analysis
• Sport Informatics and Analytics
• Performance Analysis in Sport
• Athlete Monitoring
• Applied Data Analysis in Sport
• Data Science Technology and Systems

Part B - Must pass three credit points from the following

• Three credit points of ITS units at G or PG level

Entry requirements

• An Australian bachelor degree in any field or equivalent.

English language requirements

• An IELTS Academic score of 6.5 overall, with no band score below 6.0 (or equivalent).

Outcomes

Learning outcomes

• Demonstrate advanced skills to professionally communicate complex theoretical and technical data science concepts, information, and ideas to a variety of audiences using appropriate media.
• Critically analyse, interpret, and synthesise data from diverse sources to investigate complex problems and provide creative solutions that enhance and support organisational and strategic goals.
• Develop advanced knowledge of data science principles, theory, concepts, and tools across the spectrum from data collection to analysis, modelling, interpretation, prediction, and communication.
• Design, execute and critically evaluate a substantive research project that demonstrates an advanced and integrated understanding of collecting, processing, analysing and extracting meaning from complex data to investigate contemporary, real-world problems.
• Design, implement and evaluate professional best practice approaches in data-driven programming, modelling, data management, data visualisation, and data mining tools as appropriate to the data, task and/or environment.

Career outcomes

Due to the exponential rise of digital data produced daily around the world, graduates of the UC Master of Data Science course can expect to find themselves in high demand in any one of the following positions.

• Data scientist
• Data engineer
• Data analyst
• Business analyst
• Statistician
• Software developer
• Data warehouse operator and manager
• Computer network analyst
• Consultant

Fees and CSP

Indicative total fee (2025): $9,312 (Commonwealth Supported Place)

Student fees 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.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower. 

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

• Calculated per unit you're enrolled in.
• Dependent on the study areas they relate to.
• Reviewed and adjusted each year.

HECS-HELP loans are available to CSP students to pay the student contribution amount.