Master of Data Science (Artificial Intelligence and Machine Learning)

Study the Artificial Intelligence and Machine Learning specialisation with UniSQ and explore concepts regarding deep learning, natural language processing, information retrieval and knowledge management.

In an increasingly data driven world, it's critical that we can use information retrieval technologies and systems to query and retrieve useful information to support advanced data analytics and inform high-level decision-making.

Explore concepts and learning within big data management, machine learning and data mining to ensure you have the knowledge for a career in this dynamic industry.

Choose between two different pathways of research in your masters degree:

Research Project track — this pathway equips you with research skills and enables you to develop a research thesis in applied data science through an independent project in your chosen disciplinary application area.
Research Training track — this pathway allows you to develop your research capability and gain specialised cognitive and technical computational and information system skills to prepare for a professional career in science or your chosen disciplinary application area.

Research Project track — this pathway equips you with research skills and enables you to develop a research thesis in applied data science through an independent project in your chosen disciplinary application area.

Research Training track — this pathway allows you to develop your research capability and gain specialised cognitive and technical computational and information system skills to prepare for a professional career in science or your chosen disciplinary application area.

Use our magical AI system, to check your admission chances for this course.

Tuition fee

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Start date

Nov 2024

Feb 2025

Jul 2025

Nov 2025

Feb 2026

Jul 2026

Nov 2026

Duration

Campus

Mode of study

Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.

Offer response

4 - 6 weeks after your application is submitted

Backlogs accepted

This course accepts backlogs