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

Scholarship

2Scholarships

Starting Month

Feb, Sep, MayStarting Month

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

Tuition fees

Domestic
28,960 AUD
International
31,200 AUD

Scholarships

International Student Support Scholarship 2027

International Student Support Scholarship 2027
All Open

Value

10% tuition fee waiver

Deadline

31 Dec 2027

Application requirements

QS Event Attendance is NOT required

Entry requirements

University of Southern Queensland

International Excellence Scholarship

International Excellence Scholarship
All Open

Value

15% tuition fee waiver

Deadline

31 Dec 2027

Application requirements

QS Event Attendance is NOT required

Entry requirements

University of Southern Queensland

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