Learn Data Science Online

Want to learn Data Science online? Maybe start a new career? Online courses at RMIT are co-designed with industry and purpose built for online study. The future of work starts here.

What is Data Science, and what does a Data Scientist do?

Every single day, the world creates around 2.5 quintillion bytes of data. Over 90 per cent of all data was made in just the last few years: customer transactions, phone numbers, app messages, videos, photos, text files, financial figures. And all that data needs to be properly cleaned, stored, processed and analysed, which is where Data Scientists come in.

So what is a Data Scientist? What does a Data Scientist do? Essentially, Data Scientists synthesise huge amounts of business information, and then use that information to answer questions or create strategies. A Data Scientist basically helps businesses make better decisions.

The term ‘Data Scientist’ was coined around 2008, when mobile technology began to surge and companies realised they were accumulating huge swathes of customer data. Data Scientists were hired to process and understand this information – and to draw meaning from it. The Harvard Business Review called it “the sexiest job of the 21st century”.

Why become a Data Scientist?

If there’s one field that’s critical to the future success of enterprise, it’s Data Science. Data Science career growth has exploded over the last few years. In fact, the Bureau of Labour Statistics projects a 36% employment growth for data scientists from 2023 to 2033.

Data Science for beginners is also an accessible field of study. You don’t have to be a coding expert to get started, or even work in tech. RMIT’s Graduate Certificate in Data Science can be completed in 8 months, and there are short courses (like Data Privacy Management) which only take 6 weeks.

Here are some careers that draw on Data Science skills:

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Applications Architect
  • Business Intelligence Developer
  • Statistician
  • Data Scientist

5 reasons to become a Data Scientist

High demand

The truth is, there’s an increasing gap as industry scrambles to find trained Data Scientists. Data Science roles have grown 650% since 2012, and SEEK is projecting another 11% growth over the next 5 years. All of this points to Data Science being a secure, long-term profession.

Great salaries

Science has excellent wage potential. According to Seek, the average Data Science base salary is around AU$125,000. There’s also a well-documented Data Science skills gap in Australia, which gives graduates a stronger market position.

Flexibility

Ten years ago, Data Science was considered a niche field, but that’s no longer the case. Most companies now rely on Data Scientists to optimise their decision making. This means you can potentially work in almost any industry, from retail and marketing to health science and research.

Job satisfaction

Scientist has been one of Glassdoor’s best careers for job satisfaction for several years now. In fact, Glassdoor has listed Data Scientists as among the top three of the 50 Best Jobs in America for the past seven years in a row. The high base salary and career progression opportunities make Data Science a highly coveted field.

Freedom

In Data Science, you’re not bound to work in a particular industry, or even a particular role. You can use your skills to become a Data Scientist, sure, but you can also be a Data Analyst, Data Engineer or Machine Learning Engineer. The options are almost endless.

Data Science careers

Why learn Data Science? The short answer: Data Science careers are trending upwards. Both in terms of demand and salary expectations. It’s a career that allows you to travel, work overseas, and even join global giants like Uber, Apple and Amazon. With governments clamping down on data regulation, the need for qualified Data Scientists will only increase over time.

There are lots of options for the skilled Data Scientist. Here are just a few:

How to learn Data Science for beginners

Learning Data Science for beginners isn’t as tricky as you might think. You’ll quickly learn the fundamentals of Python programming, analytics, data wrangling and visualisation. On completing the course, you’ll have a job-ready Data Science qualification.

Our learning content is purpose built for online study and our curriculum is divided into easy-to-follow units. Each unit combines interactive webinars, 1-on-1 tutorials, group work and practical tasks. The ultimate goal is to give you the skills you need for a career in Data Science.

Here’s a taste of what you’ll need:

  • Commitment. Our course content is divided into bite sized chunks, and designed to fit in around your schedule. We recommend studying a few hours every day to stay committed and on track.
  • Notes. Your RMIT mentors will encourage you to take lots of notes. It’s a good way to flag any potential problems or questions.
  • Collaboration. As part of your course, you’ll be working with qualified industry experts. You’ll also have access to an online peer community.
  • Knowledge. Data Science tools are evolving all the time. We’ll help you stay up-to-date with the latest methodologies.
  • Resources. There are plenty of helpful Data Science resources out there. These can help during the course, or even after completion.

Learn about Data Science

This is the best place to start your Data Science journey. Read as much as you can. Ask questions. You can find all of our Data Science news and coverage below.

Data Science blogs

Want to read more about Data Science? Check out our interesting blogs below!

What is "dirty data" and how can we fix it?

RMIT Data Science courses

RMIT is one of Australia’s top Data Science training providers. We offer a range of Data Science courses and Data Science certificates, depending on your career goals and experience.

If you’re just starting out, have a look at our Graduate Certificate in Data Science. After that, you can broaden your knowledge with our Master of Business Analytics and AI Strategy and Data Privacy short course.

Topics and courses similar to Data Science

The beauty of Data Science is that it touches on all sorts of other fields: Artificial Intelligence and Machine Learning, Python programming, Business Analytics, UX design and heaps more. A foundational knowledge of Data Science will hold you in good stead almost anywhere. If you’d like to explore RMIT's related courses, check out some of the programs below.

Related courses and degrees

No courses match your current filters

Try adjusting them or reset all filters to see more options

Short course

Business Analytics

Future skills bundle
  • next start date 2 November 2026
  • learning mode Online
  • duration 12 weeks
Short course

Business Analytics and Visualisation

Future skills short course
  • next start date 2 November 2026
  • learning mode Online
  • duration 6 weeks
Short course

Business Analytics with SQL and Python

Future skills short course
  • next start date 2 November 2026
  • learning mode Online
  • duration 6 weeks
Postgraduate study

Master of Data Science

  • atar Not applicable
  • next intake February, July
  • learning mode On campus
  • location Melbourne City
  • duration Full-time 2 years, Part-time 4 years

Online Bachelor of Business – Business Analytics minor

  • atar See course admissions
  • next intake January, April, July, September
  • location Online
  • duration 36 months
Postgraduate study

Online Graduate Certificate in Data Science

Online postgraduate study
  • atar See admissions
  • next intake No upcoming intakes
  • learning mode Online
  • location Online
  • duration 8 months intensive part-time

Connect with us

Be part of the conversation and keep in touch with us to find out about study options, campus life and upcoming events on our social media channels.

aboriginal flag float-starttorres strait flag float-start

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

Learn more about our commitment to Aboriginal and Torres Strait Islander peoples
aboriginal flag float-starttorres strait flag float-start

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information