Master of Data Science (Data Analytics)

Masters (Coursework)

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.

Key details

Degree Type

Masters (Coursework)

Study Mode

In person

Intake Months

Feb, May, Sep

Domestic Fees

$8,948 per year

About this course

Overview

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.

Entry requirements

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.

Pathways

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

Study locations

Toowoomba

Career pathways

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.

Course structure

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

Artificial Intelligence & Machine Learning

How to apply

How to apply

Complete your online application directly to UniSQ.

Apply direct to UniSQ

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


Study period	Application closing date	Orientation	Study period s tart 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

Further information

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

University of Southern Queensland (USQ)