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Postgraduate

Master of Data Science (Artificial Intelligence & Machine Learning)

Domestic students International students
Master of Data Science (Artificial Intelligence & Machine Learning) (MADS)
CRICOS: 0101854
Study mode
  • On-campus
  • Online
Campus
  • Toowoomba
Duration
  • 2 year(s) (or part-time equivalent)
Start
  • Jan, May, Sep

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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.

Further study

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

Thinking of studying in 2024? UniSQ will be delivering flexible new ways of teaching, with different calendar offerings, making the balance of study and life easier. Read more in our new academic calendar FAQs.

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.

Career outcomes

  • 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. 

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.

Degree structure

To complete this degree students must complete 16 units.

Courses to be studied Units
Core courses 12
Research training courses
or
Elective courses		 4
Total 16

Refer to the UniSQ Handbook for an example of courses to be studied and recommended enrolment patterns.

Other specialisations

Fees and scholarships

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.

How to apply

Complete your online application directly to UniSQ.

CRICOS: 0101854

Apply direct to UniSQ

Intakes

You can select to start your study in Trimester 1, 2 or 3.

Study period  Orientation  Study period start date Finish date
Trimester 1, 2024  Monday 15 January Monday 22 January Friday 26 April 
Trimester 2, 2024 Monday 6 May Monday 13 May  Friday 16 August
Trimester 3, 2024 Monday 26 August Monday 2 September Friday 6 December 
Two men collaborating at a computer workstation in an office environment.

Got questions?

 

Begin your study journey today with the university rated 5/5 stars for graduates starting salaries* and start the degree that’s right for you.

*Good Universities Guide 2024

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