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Data Science Courses

Find the best Data Science Courses

Masters (Coursework)

On-line Learning, Ballarat - Mt Helen
Hear from our students
Duration
2 years full-time
Study Mode
In person, Online
Graduate Satisfaction
84.10%

Certificate

Perth
You will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation. You will also find out how these concepts can be used to predict future scenarios.
Duration
6 months full-time
Study Mode
Online, In person
International Tuition Fees
$5,000 per year / $17,030 total
Graduate Satisfaction
78.10%

Graduate Certificate

Nathan, Gold Coast
As we battle global challenges from climate change to pandemics our capacity to collect extraordinarily large datasets far outweighs our capacity to manipulate and analyse this 'big data'.
Entry Requirements

To be eligible for admission to the Graduate Certificate in Data Science, an applicant must:

  • hold a Bachelor degree or Bachelor Honours degree in Information Technology or Computer Science or equivalent from a recognised University (or another tertiary education institution of equivalent standing) with a minimum GPA of 4.0 (using a 7.0 point scale)
  • OR have a minimum of five years equivalent full-time professional work experience in a relevant field.
Extra information

Completion of this Graduate Certificate is a pathway into the Master of Information Technology (5612), where applicants may be eligible for 40 credit points of credit.

Duration
1 year part-time
Study Mode
In person, Online
Domestic Tuition Fees
$12,000 per year
International Tuition Fees
$16,500 per year
Graduate Satisfaction
70.70%

Masters (Coursework)

Perth
Gain the skills to transform data into intelligence and become a sought-after expert at the forefront of this rapidly expanding field. The demand for data specialists shows no sign of slowing.
Entry Requirements
Admission requirements

If you're interested in furthering your career by studying this postgraduate course, 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 ATAR Mathematics Methods, or equivalent, as recognised by UWA.
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 ATAR Mathematics Methods, 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.
Ranking and Selection Process

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

ADMISSION REQUIREMENT
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.

Minimum overall IELTS score of 6.5, with no band less than 6.0.

ADMISSION REQUIREMENT
English competency
Study Mode
In person

Graduate Certificate

Hobart Campus, Sydney Campus, Sydney Campus, Perth Campus

Uncover the power of cutting-edge analytic tools that not only extract but also visualise information, empowering you to make strategic and operational decisions with precision.

Entry Requirements
  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification); or
  • Completion of a graduate certificate or graduate diploma in a relevant field of study (which must include at least 1 unit of study of mathematics, statistics, or quantitative analysis); or
  • Five years' relevant work experience; or
  • Completion of a three-year post-secondary qualification, with an average pass mark of 70%, in a relevant discipline (which must include at least 1 unit of study of mathematics, statistics, or quantitative analysis)
  • Please refer to English Language Requirements

    Duration
    0.7 year full-time, 1.5 years part-time
    Study Mode
    In person

    Bachelor

    Camperdown/Darlington

    Our Bachelor of Applied Science (Diagnostic Radiography) provides you with the knowledge and skills to use the latest technology to produce high-quality medical images that can assist medical specialists and practitioners to describe, diagnose, monitor and treat injury or illness.

    ...
    Duration
    4 years full-time
    Study Mode
    In person

    Masters (Coursework)

    On-line Learning, Ballarat - Mt Helen
    Hear from our students
    Duration
    2 years full-time
    Study Mode
    Online, In person
    Graduate Satisfaction
    84.10%

    Graduate Diploma

    Perth
    Learn how to manage, protect and leverage data collected from everyday activities to drive business decisions, solve social problems, and inform better healthcare with a Graduate Diploma in Artificial Intelligence and Data Science. 
    Entry Requirements

    Recognised Australian Computer Society (ACS) -accredited Bachelor's degree in IT (AQF Level 7); OR recognised Bachelor's degree (AQF Level 7) plus an approved qualification in IT (AQF Level 8); OR recognised Bachelor's degree(AQF Level 7) plus two years of relevant IT experience; OR recognised Honours degree (AQF Level 8) plus relevant IT experience. Recognition of relevant and current informal or non-formal learning may be used for entry requirements, and should be discussed with the Academic Chair.

    Duration
    1 year full-time
    Domestic Tuition Fees
    $20,160 per year / $20,160 total
    International Tuition Fees
    $34,320 per year / $34,320 total
    Graduate Satisfaction
    76.50%

    Graduate Diploma

    Perth
    This course will provide you with an in-depth background to predictive analytics, data security, data mining, business applications and computing, including basic concepts of data analysis and visualisation.
    Duration
    1 year full-time
    Study Mode
    In person
    International Tuition Fees
    $34,060 total
    Graduate Satisfaction
    82.60%

    Masters (Coursework)

    Sydney Campus

    The Master of Big Data Auditing is designed to equip students with the necessary skills and knowledge for a career in professional auditing in the current era of digital transformation.

    The course aims to provide students with the required foundations in auditing and related...

    Entry Requirements
  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification); or
  • Completion of a Graduate Certificate or Graduate Diploma in a relevant field
  • Please refer to English Language Requirements

    Duration
    2 years full-time, 4 years part-time
    Study Mode
    In person

    Data Science Courses overview

    Data science is the scientific method applied to the extraction and interpretation of data. It is a multidisciplinary field dedicated to the management of highly complex statistics and computation. Postgraduate studies are for students with bachelor level qualifications in statistics, mathematics, computer science, engineering and more. They feature a broad array of topics, ranging from subject-oriented units in data management, visualisation, and analytics to broadly applicable topics on decision making, statistical methods, and biostatistics.

    The term ‘data science’ was interchangeable with ‘computer science’ for much of the 1960s. This was due to the lack of hardware and data collection tools available to modern-day people. It wasn’t until the late 90s when Jacob Zahavi foresaw the need for new technology and practices to handle enormous quantities of data that the field started garnering serious consideration. By the early 2000s, it rapidly began picking up interest, leading to the field we know of today.

    Graduates in data science are entering a young and highly important field. They will be needed across all industries for decades to come.

    Is data science for me?

    Data science is for anyone fascinated by interpreting quantitative data. It takes highly numerate people who can spot patterns, interpret puzzling findings and manage a multitude of details. If you’re the sort of person who enjoys solving these sorts of issues, data science could be for you.

    Study pathway

    Postgraduate data science can be taken up to master level, with each program offering its own unique opportunities for specialised learning.

    Graduate certificates in data science are six-month programs that provide graduates from relevant fields the opportunity to learn the fundamentals of data management, statistical methods, data mining, and other essentials. Courses like those offered by Charles Darwin University give students the chance to pick electives suited to their interests, such as general decision making, impact analysis or biostatistics.

    Graduate diplomas are for students with prior knowledge in database programming. They provide units in foundational mathematics, coding in Python, modelling data and a broad selection of useful electives. Offerings from the likes of Monash University provide data exploration units, applied data analysis, data processing for big data and more. All these courses take roughly one and a half years to complete, up to a maximum of four years if part-time.

    The Master of Data Science is for students with a desire to gain a more comprehensive knowledge of the topics covered in prior qualifications. Courses like those offered by the RMIT also provide students with industry connections, helping them grow their career during and after their degree. These tend to take two years of full-time study to complete, or four years part-time.

    Employment options

    Data architect

    Data architects determine the requirements of any given database by evaluating client objectives and comparing them with current systems they may have in place. These professionals are responsible for ensuring a database has the integrity to sustain the type and amount of information clients require. Companies like Teradata specialise in data architecture, making them excellent employment options.

    Business intelligence analyst

    Graduates who choose this career path are expected to interpret data drawn from external sources and internal systems relevant to business. Through a combination of market research and statistical acumen they report on data so decision makers can act upon it. Companies like Tableau are dedicated to this line of work.

    Data mining engineer

    This field is for those with excellent pattern recognition, requiring these professionals to utilise machine learning, statistics and database system knowledge to the fullest extent. They are required to extract data from large swathes of otherwise-indeterminable information. Companies like AlteryxBlia Solutions and Semcasting all use data mining in various important applications.

    Specialisations

    The wide range of industries requiring data science lead to a wide array of specialisations. The following are just some of these:

    Advice for Data Science Courses


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