About Course

University of Southern Queensland

Master of Data Science (Data Analytics)

UniSQ's Master of Data Science (Data Analytics) empowers graduates with specialized skills in Big Data and Analytics. Covering...

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Fees

AUD

60,560

/total

*These prices are estimated and may vary.

Duration

Method

Location

Intake

Course Level

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.

UniSQ’s Master of Data Science (Data Analytics) empowers graduates with specialized skills in Big Data and Analytics. Covering key areas like data management, machine learning, and visualization, the program prepares students for dynamic careers in Data Science. With two research pathways available, graduates are well-equipped for further studies or industry challenges.

Get to know the top 3 benefits of this program

Employability

Graduates acquire in-demand skills in data analytics and big data management, enhancing their employability across various industries.

Versatile Career Paths

The program opens doors to diverse career opportunities in roles such as data analyst, data scientist, business analyst, and more.

Advanced Studies

Successful completion prepares students for further academic pursuits, including doctoral studies, providing a solid foundation for research careers.

Meet University of Southern Queensland

All you need to know about your Student Visa

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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 requirements

This degree requires a minimum of IELTS 6.0 or equivalent.

Inherent requirements: Behavioural Stability

Students in the Master of Data Science program must maintain behavioural stability to navigate diverse academic and professional environments effectively. This involves demonstrating resilience and adaptability to manage academic responsibilities and collaborate in changing circumstances. Behavioural stability ensures ethical conduct and academic integrity throughout the program.

Inherent requirements: Communication

Effective communication skills are essential for students pursuing the Master of Data Science degree. They must convey information accurately and clearly, both verbally and in writing, to interact with peers, instructors, and industry professionals. Proficient communication facilitates understanding user needs, articulating data insights, and collaborating on projects, enhancing professionalism and productivity.

Inherent requirements: Ethical Behaviour

Ethical conduct is a core requirement for students enrolled in the Master of Data Science program. They must adhere to professional standards, respecting privacy, confidentiality, and integrity in all aspects of their academic and professional work. Ethical behaviour fosters trust and accountability, ensuring responsible engagement with data and technology in the ICT profession.

Inherent requirements: Legal

Students must understand and comply with relevant legal frameworks governing technology and data usage. Compliance with Australian laws, regulations, and codes of conduct is imperative for ethical and responsible ICT practice. Knowledge of legal obligations enables students to navigate legal complexities and uphold ethical standards in their professional roles.