Master of Data Science

Advance your knowledge and understanding of data analytics with the master of data science. This course is designed for postgraduate students who want to gain meaningful insights from data that comes from a variety of sources. 

• You’ll develop skills in leading-edge techniques and learn the contemporary tools that relate to a data management lifecycle. After graduating you’ll be skilled to work at the forefront of data-driven decision-making and forecasting.

Stretch your career further

• Statistician
• Business Analyst
• Data Engineer
• Data Architect

Strong industry connections and co-creation

• In the Master of Data Science course program, participating in the industrial-based project units is mandatory. By undertaking the capstone project, students are deeply involved in project execution with industry clients from external organisations or businesses to deliver usable solutions to real-world problems. Students achieving a credit average are eligible to apply for taking the internship project unit (ICT80004) to be the intern in the industry.

Why Swinburne?

• Ranked top 10 Australian university for Computer Science and Electronics
• 85.1 percent of students found employment within 4 months of graduating
• The median income for PG graduates nine years out is $105.5K
• Ranked top 100 in the world for Computer Science and Engineering

Qualifications
The admission requirements for Master of Data Science consist of:

• A completed bachelor's degree (or higher award) in any discipline
• Graduate Certificate or Graduate Diploma in Data Science from a recognised higher education institution or equivalent OR
• Successful completion of the Postgraduate Qualifying Program at Swinburne

How credit points work
To qualify for the Master of Data Science, students must complete 200 credit points comprising by:

• Twelve (12) core units (175 credit points)
• Two (2) electives (25 credit points)