The data industry is expanding at an unprecedented rate, with the market predicted to reach a staggering $229.4 billion by 2025.
In today's data-driven world, the demand for skilled data scientists continues to soar. With the rise of remote learning, many universities now offer online courses in data science, making it more accessible than ever.
In this comprehensive guide, we'll explore the 20 Online Data Science Courses from Australia's best universities.
From prestigious institutions to innovative new programs, our directory-style article will provide an in-depth look at online data science courses available in Australia.
So, whether you're a seasoned professional seeking to expand your skillset or a beginner looking to break into the industry, this article will help you navigate the world of online data science education and find the perfect course for your needs.
Quick Links To Online Data Science Courses
RMIT Online
Master Of Data Science Strategy & Leadership
- 2.7 years part-time*
(Reduced duration available) - 16 course masters
- $3,840 per course, FEE-HELP available**
University Of New South Wales
Master of Data Science (Online)
Duration: As little as 2 years Courses: 12 courses Study Intakes: January, March, May, July, September and October
James Cook University
Master of Data Science (Professional) Online
- 32 months / Part-time
- $3,700 per subject . FEE-HELP is available
- 16 subjects (One subject per each 7-week study period)
University Of Technology Sydney
Applied Data Science for Innovation (Microcredential)
6 weeks Avg 14 hrs/wk $1,435.00
RMIT Online
Master Of Data Science Strategy & Leadership
Be the essential bridge between data science and business strategy.
The success of business strategies hinges on comprehending data.
However, not everyone is fluent in "data language", and without leaders who possess data literacy, even the most skilled data teams may face difficulties in applying their insights to businesses or gaining support from executives across organizations.
What is required is an exceptional leader who can merge technical and communication abilities, championing data at the executive level. A leader who can influence and execute data strategies, fostering cross-functional collaboration to fulfill the potential of data science.
In response to this need, RMIT Online's Master of Data Science Strategy and Leadership program has been designed to equip business professionals with the skills needed to become data-literate leaders capable of bridging data and unlocking business strategy.
University Of New South Wales
Master Of Data Science (Online)
Online Master of Data Science at UNSW
The Online Master of Data Science program at UNSW requires advanced technical and mathematical skills to navigate through complex layers of data and find practical solutions.
Businesses are turning to professionals who possess such skills to help them make sense of data and inform strategic decisions. The program is entirely delivered online, and it offers a comprehensive exploration of data organization, identification, analysis, and application to redefine ambiguous questions and generate practical solutions. The program is designed to provide the most in-demand and challenging skills. As a student, you have the option to specialize in areas such as database systems, machine learning, or statistics, depending on your career goals.
However, before specializing, students are equipped with foundational skills that are both broad and deep, making them valuable in various industries and roles, even those yet to be imagined. Overall, the program promises to offer a dynamic and promising career filled with potential.
James Cook University
Master of Data Science (Professional) Online
Why Data Science with JCU?
The Master of Data Science (Professional) program is designed for students seeking to enhance their data science skills while gaining industry exposure and connections. While the Master of Data Science program focuses on developing in-demand skills and building a portfolio, the Master of Data Science (Professional) program offers a four-subject extension that provides students with additional opportunities to gain practical experience while studying. Students will have access to a masterclass and capstone projects, enabling them to gain hands-on experience in the field of data science. This program serves as a stepping stone to kickstart their careers in the industry.
The Master of Data Science program offers several program highlights that are designed to equip students with the skills and experiences necessary for a successful career in data science. Students will have the opportunity to build a career-ready portfolio through capstone projects and masterclasses, allowing them to showcase their skills and achievements to potential employers. The program also focuses on developing fundamental skills in data science, which are essential for any data science role. In addition, students will gain expertise in various programming languages, including SAS, Python, and R, making them more versatile in their roles. The program is delivered entirely online, enabling students to fast-track their careers while balancing other commitments.
Moreover, students will receive support from a dedicated Student Success Advisor who will guide them throughout their academic journey. The program offers a comprehensive curriculum and a range of program highlights that will open up various career opportunities in the field of data science.
University Of Technology Sydney
Applied Data Science for Innovation (Microcredential)
The course is an interactive learning experience that offers learners the chance to master critical machine learning skills from a top data science expert in the field. By participating in the program, students will acquire the knowledge and skills required to design and execute innovative machine learning solutions to solve complex real-world issues. As digitalisation continues to reshape the business landscape, companies must leverage data to remain competitive, making it critical to develop the skills necessary to do so.
Participants in the microcredential will acquire an in-depth understanding of fundamental machine learning techniques such as regression, classification, and clustering. They will also be introduced to concepts like agile project management, data citizenship, and entrepreneurship. The course has a transdisciplinary approach to learning, giving learners transferable skills applicable across various industries and sectors.
The microcredential is intended to offer a dynamic and innovative approach to learning, combining hands-on practice with interactive learning to assist students in developing proficiency in implementing, optimising, and maintaining machine learning solutions. Mastery of these skills can lead to new career opportunities or assist learners in contributing to their organisation's more strategic, innovative initiatives.
The microcredential was co-designed by distinguished academics and industry partners from the UTS Master of Data Science and Innovation programme.
University Of South Australia
Bachelor of Data Analytics
The data analytics degree offered by UniSA Online presents an excellent opportunity for individuals seeking to enter the thriving field of data science. With the increasing need for individuals who can derive meaningful insights from massive amounts of data to make informed decisions, drive business growth, and gain a competitive edge, employers are actively seeking experts in this field.
Our 100% online program has been designed in consultation with industry professionals to provide you with the most current and relevant knowledge and skills. Our curriculum covers emerging data trends, as well as the latest developments in data analytics, ensuring that you graduate with the most up-to-date skill set to pursue entry-level or higher-level positions in the industry.
Throughout the course, you will explore the entire lifecycle of data, from creation to analysis, to achieve business objectives. Our curriculum covers a range of analytical methods, processes, tools, and techniques used by data analysts. You will also learn about data visualization, cloud computing, data mining, and database administration. Foundational courses in programming, maths, and statistics are included in the beginning of the program, while more advanced topics in machine learning, artificial intelligence, text and social media analytics, data visualization, and predictive analytics are covered later in the program.
Data is created at an extraordinary rate through every click, swipe, share, search, and stream, revolutionizing how businesses operate. Depending on your field, data can be used to optimize digital marketing campaigns, develop new and innovative products and services, predict customer sales patterns, or improve productivity in sales and supply chain management.
There is a growing demand for data analysts, and our program can equip you with a powerful skill set to succeed in the marketplace. With a significant gap between the needs of organizations and the abilities of job candidates, earning your data analytics degree from UniSA Online can help you become a competitive candidate in the industry.
The University of Adelaide
Master of Data Science (Applied) Online
They can command the most sophisticated data science tools through a real-world learning approach, gaining hands-on expertise that can be immediately applied in the workplace. Their reputation can be enhanced by learning directly from data scientists who are at the forefront of their field, ensuring exceptional quality of learning and industry recognition.
Their learning experience will be anchored in real-world scenarios, providing them with knowledge designed for impact. Graduating from a top 1% university can help them gain more influence at work and unlock leadership opportunities.
Monash University
Master of Applied Data Science
The future of data technology lies in the hands of individuals who can keep up with its continuous acceleration and evolution. The Master of Applied Data Science program is designed to prepare the new generation of data scientists with the skills they need to revolutionize the future of data science.
The program focuses on developing the core data analytic and problem-solving skills of students by teaching them contemporary techniques to transform data into actionable information. The Master of Applied Data Science offers students the opportunity to apply their knowledge to practical projects, enabling them to find their own place in the world of data science.
What you will learn:
- Contemporary data exploration: You will be taught how to apply contemporary data exploration techniques and machine learning methods to real-world data science issues.
- Data science lifecycle and analysis: You will learn how to plan and develop data analytics projects in a specific area to gain your own unique insight into the data science process.
- Policy, ethical and legal issues: You will learn how to ethically collect, store, prepare and stream data in adherence to industry laws and policies.
Griffith University
Graduate Certificate In Data Science
As the world battles global challenges ranging from climate change to pandemics, there is a growing need for individuals who can manipulate and analyze the large datasets generated in these areas. The Master's program in Data Science provides students with the skills to analyze, manipulate, model, and interpret large data sets using digital platforms and tools like Python, Tableau, Hadoop, and SQL. Graduates of the program will be well-equipped to play an active role in the new data-driven world.
This program is offered part-time at the Nathan and Gold Coast campuses, as well as online, and is open to international students studying in their home country or in Australia on a visa other than a student visa.
University of Technology Sydney
Applied Data Science for Innovation (Microcredential)
The interactive course provides learners with the opportunity to master essential machine learning skills from one of the leading data science experts in the industry. Participants will learn how to solve complex real-world problems by designing and implementing innovative machine learning solutions. As digitalisation continues to shape businesses, organisations face increasingly challenging and complex problems. Therefore, developing the skills to leverage data for competitive advantages is essential.
Through this microcredential, learners will gain in-depth knowledge of essential machine learning techniques such as regression, classification and clustering. Additionally, they will be introduced to agile project management, entrepreneurship and data citizenship. The program has a transdisciplinary approach to learning that equips learners with transferrable skills across a broad range of industries and sectors.
The microcredential is designed to provide learners with a dynamic and innovative approach to learning, combined with hands-on practice, to help them become well versed in implementing, optimising and maintaining machine learning solutions. This mastery can lead to new career opportunities or help learners contribute to their organisation's more strategic, innovative initiatives.
Renowned academics and industry partners from the UTS Master of Data Science and Innovation program co-designed this microcredential.
Edith Cowan University
Master Of Data Science
The field of Data Science is characterized by its interdisciplinary nature, drawing on mathematical, statistical, and computer science techniques to extract insights from structured and unstructured data.
The course offered provides students with the necessary foundation in these disciplines and also offers training in relevant tools and techniques used in data science. The course also emphasizes the ethical issues surrounding data collection, storage, and analysis.
Data Science is a rapidly growing field and offers significant potential for employment opportunities in Australia and the Asia-Pacific region.
Deakin University
Bachelor of Data Science (Honours)
The Bachelor of Data Science (Honours) provides students with an opportunity to gain a comprehensive understanding of the entire data lifecycle, and how it can be leveraged to generate valuable insights for strategic decision-making in the competitive business world. Throughout the course, students participate in a professional placement, collaborate with industry partners to tackle authentic business challenges using real-world data sets, and focus on their preferred area of study to hone their skills. In their final year, students complete a research project.
This program prepares students for a rewarding career in the thriving field of data science. It covers the latest trends, insights, and emerging topics in the field, ensuring students graduate with a highly relevant skill-set that is in demand by employers worldwide. Students explore various analytical methods, tools, and techniques while learning essential concepts and advanced topics in machine learning, AI, and predictive analytics.
Online data science courses are educational programs that are delivered through online platforms and cover topics related to data science, including data analysis, machine learning, statistics, programming languages and tools, and more.
Online data science courses offer several benefits, such as flexibility, affordability, access to high-quality content and instructors, opportunities for hands-on practice and collaboration, and the ability to learn at your own pace and schedule.
Depending on the level and type of the course, you may need basic or advanced knowledge of programming languages such as Python or R, statistics, mathematics, and data analysis. It's recommended to check the course prerequisites before enrolling to ensure you have the required skills.
The duration of online data science courses varies depending on the level and depth of the content, the mode of delivery, and the learning objectives. Some courses may take a few weeks to complete, while others may last several months or more.
Some online data science courses are accredited by recognized institutions or organizations, while others may not be accredited. It's important to research the credibility and reputation of the course provider before enrolling to ensure you receive a quality education and certification.