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Master of Data Science (Data Analytics)

Master of Data Science (Data Analytics) (MADS)

Study mode
  • On-campus
  • Online
  • Toowoomba
  • 2 year(s) (or part-time equivalent)
  • Jan, May, Sep


  • UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. Data Science helps organisations to extract new insights from raw data; insights which inform the development of new products, improved services and new businesses in our increasingly data reliant world.
  • Learn how to find the patterns from the historical data, understand the present, and predict the future using data addressing a wide range of operational contexts.
  • From big data management, machine learning and data mining, to programming and big data visualisation, you will be prepared for a career in a dynamic and fast-paced industry. 
  • Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market.
  • You'll have the opportunity to select 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

This masters degree 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 related field. As a graduate, you will become an efficient data scientist, utilising predictive analytics, big data management, big data analysis and modelling, 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 to benefit business productivity.
  • Careers may include: Data analyst (within health, marketing etc.), data scientist, data consultant, data engineer, business analyst, supply chain analyst, mining data analyst, fraud data analyst, and data analytics manager.

Entry requirements

Find the entry requirements most relevant to you.

  • 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

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help to reduce the number of courses that you need to study to finish your program.


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
Elective courses
Total 16

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

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 your first year of study (8 units) in this degree are:

Study Mode Cost
Domestic full fee paying

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

AUD 27200
Commonwealth supported

The Federal Government contributes to the cost of your course and you need to pay a student contribution.

AUD 8948

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.

Loan to help you pay your fees

You may not have to pay your course (subject) fees upfront. HECS-HELP and FEE-HELP allows you to defer your fees until your income reaches a certain level. Find out if you are eligible for HECS-HELP or FEE-HELP.

You may also be eligible to receive financial support from Centrelink.


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.


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

Study period  Application closing date Orientation  Study period start date Finish date
Trimester 1, 2024  Monday 22 January Monday 15 January Monday 22 January Friday 26 April 
Trimester 2, 2024 Monday 20 May Monday 6 May Monday 13 May  Friday 16 August
Trimester 3, 2024 Monday 2 September Monday 26 August Monday 2 September Friday 6 December 

More information on applying key dates is available.

Further information

Discover further information on applying to study at UniSQ that is relevant to you.

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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

Talk to us
What is a Master of Data Science (Data Analytics) degree?
When you study a Master in Data Analytics (or equivalent) you will gain critical knowledge in Big Data with a specific focus on Data Analytics. During your data science studies you will learn how to interpret data and extract meaningful insights to help organisations improve their products, services or strategic direction.
How long does a Master of Data Science (Data Analytics) take to complete?

The duration of a Master of Data Analytics degree will vary depending on the learning provider you choose.

At UniSQ a Master of Data Science (Data Analytics) will take you approximately two years to complete. Some students choose to study part-time which increases the time it takes to finish the required course.

What are the career opportunities for graduates?

All of our degrees focus on developing your ability to apply the skills and knowledge you’ve gained into a career of your choice. Graduating with a Master in Data Analytics opens up many career prospects in a variety of roles including:

  • Data analyst
  • Data scientist
  • Data consultant
  • Data engineer
  • Business analyst
  • Supply chain analyst
  • Mining data analyst
  • Fraud data analyst
  • Data analyst manager

Information and Communications Technology specialist holding a Master of Data Science are in high demand within many industries both in Australia and globally. There is no better time to start your data science career with UniSQ. 

Why study the Master of Data Science (Data Analytics) at UniSQ?
  • UniSQ is rated 5/5 for postgraduate computing and information systems teaching quality and educational experience.*
  • We are rated 5/5 stars for computing & information systems student support.*
  • Gain technical, industry relevant skills - se leading-edge enterprise tools and standards such as Oracle, ITIL4, CompTIA Security+, implement web services, program mobile devices, apply data analytics tools to Big Data, and manage enterprise networks after completing the CCNA (Cisco Certified Network Associate) certification. 

*Good Universities Guide, 2023

Are flexible study options available?
Yes! At UniSQ, we focus on providing our students with the flexibility to undertake a data science degree online or on-campus. Take one subject at a time or take extra subjects when life allows it – the choice is yours! Discover more about the ways to study at UniSQ.