Data Science Masters Courses

Data science masters course online.

You can study online for a masters degree in data science with your choice of Australian university. Graduate certificates and diplomas are also available through 100% online study.

  • Data science is a rapidly growing field presenting enormous career opportunities.
  • An excellent way to build a skills base for the future is with an online masters course. You'll learn how to use big data to inform business decisions.

Online data science programs are designed for busy people, and many students also work full-time. A graduate certificate is 4 units; a graduate diploma 8 units; while a masters consists of 12-16 subjects.

Data scientists build intelligent systems to manage, interpret, understand and derive knowledge from big data sets. The degree develops your analytical and technical skills in using data science to guide decisions. You explore the latest in data mining, machine learning and data visualisation, and develop skills to communicate data insights.

~ University of Sydney

Top Online Masters Programs

JCU Master of Data Science

James Cook University Online has the ideal degree if you're interested in breaking into data science. You can start with a 4-unit graduate certificate, before moving on to do a graduate diploma (8 units) or the full Master of Data Science (12 - 16 units). The program is affordable, flexible and easy to manage. You're able to focus on 1 unit at a time and study year-round. Topics include data visualisation, database systems, data mining and machine learning, big data, and strategic decision making.

Adelaide Uni Graduate Diploma in Data Science (Applied)

If you have a degree of any kind, you have the opportunity to move into the data science field with the University of Adelaide's Graduate Diploma in Data Science (Applied). The 100% online course teaches Python programming as well as data taming, modelling and visualisation among other subjects. The flexible course consists of 8 units, each of which takes around 6 weeks to complete. You can finish in less than 1.5 years of part-time study. The program is ideal if you want to gain data science skills without having to take time off work.

Monash Online Graduate Diploma of Data Science

A Graduate Diploma of Data Science from Monash Online could be your path to a flourishing career in the world of big data. Earn a valuable qualification from one of the world's leading universities from the comfort of your home or office. The 8-unit data science program has core units on topics such as Python programming, databases and mathematical foundations. As well, advanced units are available on subjects such as data analysis algorithms and data processing for big data.

RMIT Programming for Data Science

To start a career in data science, you need foundation programming skills. You can get these by doing the Programming for Data Science short course from RMIT University. The 3-month practical course, which you do part-time online, develops programming skills. You can specialise in either of the programming streams for data science: Python or R. Students investigate a relational database, build skills by exploring bikeshare data, and post their work on Github.

RMIT Data Analytics

You can jump into big data and data analytics by doing the Data Analytics short course from RMIT University. To start, you should know Python programming, SQL programming and have some experience using data analysis libraries. The 4-month course can be completed through 100% online, part-time study. You'll be introduced to data analysis, learn practical statistics, do all stages of data wrangling, and explore and present data visually. The emphasis is on practical, work-ready training.

RMIT Machine Learning for Data Science

Machine learning is at the cutting edge of data science. You can gain powerful skills in this area by taking RMIT University's short course, Machine Learning for Data Science. The 3-month, 100% online course teaches you about supervised learning, introduces deep learning and the training of neural networks, and finishes with unsupervised learning. To start, you should have programming skills, a strong mathematics background and data wrangling experience.