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Master of Data Science (Artificial Intelligence and Machine Learning)
The Master of Data Science (Artificial Intelligence & Machine Learning) program at UniSQ offers a specialized study in...

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Fees

AUD

60,560

/total

*These prices are estimated and may vary.

Duration

Method

Location

image

Intake

Course Level

24

months

on-campus
Toowoomba
Jan, May, Sep
masters

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About this program

Work & Study
Student visa holders are permitted to work a maximum of 48 hours per fortnight (24 hours per week) during their studies. However, they have the flexibility to engage in full-time employment during breaks and holiday periods.
Post-Study rights
Bachelor's, master's, and Ph.D. degrees may lead to up to 05 years of post-study full-time work visa (Subclass 485 Temporary Graduate visa - Post-Study Work stream), with variations based on degree type and regional factors.
Intern/Job-Placement
The institution has a specialized department for internships and professional placement, providing crucial support for students by connecting them to opportunities that propel their careers.

The Master of Data Science (Artificial Intelligence & Machine Learning) program at UniSQ offers a specialized study in AI and ML. Students explore deep learning, natural language processing, and information retrieval. The curriculum emphasizes big data management, machine learning, and data mining for careers in this dynamic field. Two pathways are available: the Research Project track for thesis development and the Research Training track for specialized technical skills.

Get to know the top 3 benefits of this program

Advanced Skills in Emerging Technologies
Students gain in-depth knowledge and practical skills in artificial intelligence, machine learning, deep learning, and natural language processing. These are highly sought-after skills in industries such as technology, finance, healthcare, and retail, providing graduates with a competitive edge in the job market.
Diverse Career Opportunities
Upon completion of the course, graduates can pursue diverse career paths in data science, big data analytics, artificial intelligence, and machine learning. They can work as data scientists, machine learning engineers, AI specialists, data analysts, or data engineers in various sectors such as IT, finance, healthcare, e-commerce, and more.
Industry Recognition and Accreditation
The program is accredited by the Australian Computer Society (ACS), which enhances the credibility of the qualification and provides eligibility for ACS membership. Graduates can benefit from professional recognition and certification, opening up further career advancement opportunities and networking possibilities within the industry.

Meet University of Southern Queensland

All you need to know about your Student Visa

Click on link to learn more about the requirements and how we can help you get your Student Visa for this course in Australia.

Entry requirements for University

Academic 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).

English language

This degree requires a minimum of IELTS 6.0 or equivalent.

Inherent requirements: Behavioural Stability

Students need to demonstrate stable behavior and resilience to function effectively in various academic and professional environments, particularly in IT roles. Adjustments can be made to accommodate individual needs while upholding ethical standards.

Inherent requirements: Communication

Effective communication, both verbal and written, is crucial for providing professional advice and practice. Adjustments may be considered to ensure adherence to standards while meeting individual requirements.

Inherent requirements: Ethical Behaviour

Compliance with ethical standards, as defined by professional bodies, is essential for safe and competent interactions. Adjustments must maintain ethical standards without compromising professionalism.

Inherent requirements: Legal

Compliance with legal regulations governing technology and data usage is vital for professional practice. Adjustments should ensure compliance with legal requirements while considering individual circumstances.

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