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    Master of Data Science (Artificial Intelligence & Machine Learning)
    Go to University of Southern Queensland
    University of Southern Queensland

    Master of Data Science (Artificial Intelligence & Machine Learning)

    University of Southern Queensland

    University of Southern Queensland

    flag

    Australia, Toowoomba

    University RankQS Ranking
    413

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Online

    Course Code

    0101854

    Campuses

    Toowoomba

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines2-Sep-2024
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    AUD 30,280  / year
    Next Intake 2-Sep-2024

    Master of Data Science (Artificial Intelligence & Machine Learning)

    About

    • 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.

    Further study

    Upon successful completion of the Master of Data Science, students have the opportunity to move into PhD study.

    Professional accreditation

    The Master of Data Science is accredited by the Australian Computer Society (ACS), giving eligibility for ACS membership, and recognition by ACS for certification.

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  • Requirements

    Entry Requirements

    • 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).

    There are inherent requirements that must be met in order to successfully complete this degree. Inherent requirements are fundamental skills, capabilities and knowledge that students must be able to demonstrate in order to achieve the essential learning outcomes of the degree, while maintaining the academic integrity of the degree. Please read and understand the inherent requirements specific to the Master of Data Science before applying.

    If you think you may experience any problems meeting inherent requirements, you can talk to a Student Equity Officer about reasonable adjustments that may be put in place to assist you. Any reasonable adjustments made must not fundamentally change the nature of the inherent requirement.

    English language requirements

    You are required to satisfy the applicable English language requirements and this degree requires a minimum of IELTS 6.0 or equivalent. If you do not meet the English language requirements you may apply to study a University-approved English language program.

    Recognition of prior learning or work experience

    If you have previously studied in your home country, you may be eligible for recognition of prior learning to reduce the number of courses that you need to study to finish your program.

    Pathways

    UniSQ offers a number of bachelor degrees for you to study to help you meet the entry requirements for your chosen degree.

    English Program Requirements

    Recognition of Prior Learning (RPL) allows students to gain credit (advanced standing) towards their course in recognition of skills and knowledge gained through work experience, life experience and/or formal training. Applicants are assessed on a case-by-case basis.

    Career

    • This degree provides a diverse range of career outcomes with opportunity to advance your profession into any big-data, artificial intelligence or machine learning field. As a graduate, you will become an efficient data scientist, utilising predictive analytics, big data management, big data analysis and modelling, artificial intelligence and machine learning to produce insights that make important, real-life decisions.
    • Data scientists are highly sought after, and the demand is set to increase as organisations, within technical, engineering, science, business, education and research sectors, require skilled employees to understand and interpret data, navigate artificial intelligence and machine learning for the betterment of business. 
    • Careers with a focus on artificial intelligence may include a computer engineer, games developer, intelligence analyst, programmer, web developer. Data science careers can include data scientist, data analyst, data engineer or data manager. 

    Fee Information

    Your actual fees may vary depending on the courses you select. We review our fees annually so these may be subject to change.

    Approximate annual costs1 for international students' first year of study (8 units) in this degree:

    Study Mode Cost
    External/Online

    You are responsible for the full cost of your course and are charged a tuition fee.

    AUD 30280
    On-campus

    You are responsible for the full cost of your course and are charged a tuition fee.

    AUD 30280

    1 These are indicative annual fees for 2024. 

    Student services and amenities fees

    You may need to pay student services and amenities (SA) fees as part of your course costs.

    Scholarships

    At UniSQ, we offer a range of scholarships to support your success at university. Find a scholarship that works for you.

    Tuition Fee

    AUD 30,280 

    How to Apply

    The path you take when you apply to Murdoch will vary depending on who you are and what you want to study.

    Apply directly to Murdoch

    You can apply for most undergraduate courses directly through our online application system.

    Apply through TISC

    If you're currently in Year 12 or applying for Vet Science, you can apply to Murdoch through TISC.

    Apply through an agent

    If you’re applying as an international student, our global network of agents will help you get started on your journey.

    University of Southern Queensland

    Master of Data Science (Artificial Intelligence & Machine Learning)

    University of Southern Queensland

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    Australia,

    Toowoomba

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