Postgraduate

Master of Data Science

Gain the skills to tackle big data challenges and compete in the digital realm.
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Course Details Careers & further study Fees & Scholarships Admission requirements How to apply Contact us
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Careers and further study

Take your studies to a new level with a postgraduate degree and discover what career opportunities lie ahead.

Career Pathways

The Master of Data Science prepares graduates for a career as a data scientist or data analyst providing them with the skills to tackle large data management and exploitation tasks.

The skills graduates obtain during the course will make them internationally mobile as data science expertise is required globally. You will be able to find employment in a large range of companies and organisations across the resources, finance, commerce and utility sectors. In Western Australia, Data Science graduates are required for specialised data mining within the resource sector.


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Career Pathways

The Master of Data Science prepares graduates for a career as a data scientist or data analyst providing them with the skills to tackle large data management and exploitation tasks.

The skills graduates obtain during the course will make them internationally mobile as data science expertise is required globally. You will be able to find employment in a large range of companies and organisations across the resources, finance, commerce and utility sectors. In Western Australia, Data Science graduates are required for specialised data mining within the resource sector.


This course could lead to these

Career Opportunities

Alt content Analyst Alt content Intelligence Analyst Alt content Management Consultant Alt content Managing Director
More career opportunities

Further Study

Further study will allow you to gain a Doctor of Philosophy (PhD). It will open up opportunities in academia and research to help you to pursue your goals in a wide range of careers, depending on your area of research.
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Further Study

Further study will allow you to gain a Doctor of Philosophy (PhD). It will open up opportunities in academia and research to help you to pursue your goals in a wide range of careers, depending on your area of research.

Fees and scholarships

Learn more about the fees that apply to you for this course. For fee type definitions and further assistance, see the Fee Calculator Help page. You can also search our database for scholarships that are relevant to you or this course.

Domestic Fees

Postgraduate - fee paying students

Annual course fees are calculated based on a standard annual study load of 48 credit points.

Course Credit Points
96
Total Course Fee - 2019
$56,600.00
Fee calculator

Scholarships

Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

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Cost of living

There are a few things to consider before applying to study at university. One could be your cost of living. This can depend on factors such as lifestyle, accommodation, tuition fees, medical insurance, textbooks and more. For an indication of expenses and average costs, see our Cost of living page.

Cost of living

International Fees

Postgraduate – onshore students

Annual course fees are calculated based on a standard annual study load of 48 credit points.

Course Credit Points
96
Total Course Fee - 2018
$76,600.00
Total Course Fee - 2019
$76,600.00
Fee calculator

Scholarships

Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

Search Scholarships

Cost of living

There are a few things to consider before applying to study at university. One could be your cost of living. This can depend on factors such as lifestyle, accommodation, tuition fees, medical insurance, textbooks and more. For an indication of expenses and average costs, see our Cost of living page.

Cost of living

Admission requirements

If you’re interested in furthering your career by studying this postgraduate degree, find out the admission details below.

Admission Requirements

To be considered for admission to this course an applicant must have—
(a) a bachelor's degree, or an equivalent qualification, as recognised by UWA;
and
(b) the equivalent of a UWA weighted average mark of at least 65 per cent;
and
(c) completed Mathematics Applications ATAR, or equivalent, as recognised by UWA.
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Admission Requirements

To be considered for admission to this course an applicant must have—
(a) a bachelor's degree, or an equivalent qualification, as recognised by UWA;
and
(b) the equivalent of a UWA weighted average mark of at least 65 per cent;
and
(c) completed Mathematics Applications ATAR, or equivalent, as recognised by UWA.

Ranking and Selection Process

Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.
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Ranking and Selection Process

Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.

English competency

English is the language of instruction and assessment at UWA and you will need to meet the English language requirements of the University to be eligible for a place.

English competency

How to apply

Ready to apply for this postgraduate course? Follow the steps and you’ll be on your way to joining us at UWA.

Course details

A rapidly expanding field that shows no sign of slowing.
Big data and analytics now drive and inform strategic decision making and innovation whether it is in relation to engineering, finance, health or other professional areas.
The challenge for organisations around the world is how to harness ever increasing volumes of data as an asset.

About The Course

The Master of Data Science provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data management tasks, to master the statistical and machine learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.
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About The Course

The Master of Data Science provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data management tasks, to master the statistical and machine learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.

Students will gain a detailed knowledge of contemporary data management and analysis technologies, including those for data collection and storage, visualisation, internet-based applications, and software project management.

Students will also acquire essential skills in high performance computing.
Master of Data Science

Quick Details

Status
  • Available 2019
Locations
  • Perth (Crawley campus)
Attendance
  • Full-time
  • Part-time
Delivery
  • On-campus
Starting dates
  • Semester 1, Semester 2
Weekly contact time
  • 12 hours per unit including contact hours, personal study and examinations.
Level of study
  • Postgraduate
Course Code
  • 62530
CRICOS code
  • 093310E
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Master of Data Science

Quick Details

Status
  • Available 2019
Locations
  • Perth (Crawley campus)
Attendance
  • Full-time
  • Part-time
Delivery
  • On-campus
Starting dates
  • Semester 1, Semester 2
Weekly contact time
  • 12 hours per unit including contact hours, personal study and examinations.
Level of study
  • Postgraduate
Course Code
  • 62530
CRICOS code
  • 093310E
Full time/part time duration
  • 1.5-2 years of full-time study (depending on the requirement to include conversion units).
Degrees course is available in
  • Master of Data Science

Course Structure

Postgraduate coursework degrees and combined (coursework and research) degrees comprise a number of units. Refer to the course structure for more information.

Course structure details

Course structure details

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