Master of Data Science (Artificial Intelligence & Machine Learning) 24 months Postgraduate Programme By University of Southern Queensland |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

31,200 AUDTuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

Overview
  • 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.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

Overview
  • 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.

Admission Requirements

50+
169+
80+
6+
  • 3-year bachelor degree from an Australian university, or equivalent, in any area or
  • a minimum of 5 years' professional work experience equivalent to an AQF Level 7 qualification (bachelor).

2 Years
Feb
Sep

Domestic
28,960 AUD
International
31,200 AUD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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