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Data Science Courses

Find the best Data Science Courses

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.
Entry Requirements
  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification),
  • Completion of a Graduate Certificate or Graduate Diploma in a relevant field, or
  • Completion of IMC's Postgraduate Preparation Program

Find out if your overseas qualification is recognised and meets the Entry Requirements.

Duration
2 years full-time, 4 years part-time
Study Mode
In person
Study Mode
In person
Domestic Tuition Fees
$9,527 per year / $47,635 total
International Tuition Fees
$37,600 per year

Graduate Diploma

Kensington
The Graduate Diploma in Data Science & Decisions aims to produce professionals who are skilled in the manipulation and interpretation of large amounts of data.
Duration
1 year full-time
Study Mode
In person
Graduate Satisfaction
70.60%

Certificate

Perth
Health data analysts take data from a range of sources including electronic health records, medical images, government records and smart devices, and employ advanced techniques to reveal underlying trends and anomalies.
Duration
1 year part-time
Study Mode
In person
International Tuition Fees
$14,300 total
Graduate Satisfaction
78.10%

Masters (Coursework)

City, City campus
Major regulatory changes and the emergence of new types of financial risks mean that skilled quantitative finance professionals are more in demand than ever.
Duration
2 years full-time
Study Mode
In person
Graduate Satisfaction
81.90%

Graduate Certificate

Sydney Campus
By studying the Graduate Certificate in Data Analytics, students will enhance their understanding of data analytics and the fundamental role data analysts play in the industry. The course provides an entry platform for further Graduate Diploma and Masters' degrees in data analytics.
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
  • Completion of IMC Postgraduate Preparation Program; 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)

Find out if your overseas qualification is recognised and meets the Entry Requirements.

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

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.
Study Mode
In person

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. Please refer to the handbook for additional course overview information.
Duration
6 months full-time
Study Mode
Online, In person
International Tuition Fees
$4,800 per year / $15,482 total
Graduate Satisfaction
78.10%

Graduate Certificate

Armidale
Data is a vital asset valued by virtually every organisation in the world. It provides the basis for sensible, evidence-based decision making, and the ability to manage and make sense of data is a key skill in the modern workplace.
Entry Requirements

A candidate shall:

(a) hold an AQF Level 7 Bachelor degree in a relevant discipline*; or

(b) for international students, hold an AQF Level 7 Bachelor degree in a relevant discipline and enrolling for the Intelli Education Group (IEG) Pathway.

*Relevant disciplines include, but are not limited to:

Computer Science

Data Science

Information Systems

Information Technology

Mathematics

Software Engineering

Statistics

Duration
0.5 year full-time, 2 years part-time
Study Mode
In person, Online

Graduate Diploma

Perth
In an increasingly data-driven world, learn how to manage, protect and leverage data collected from everyday activities to drive business decisions, solve social problems, and inform better healthcare.
Duration
1 year full-time
Graduate Satisfaction
76.50%

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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