Master of Data Science and Decisions

Our world contains an unimaginably vast amount of digital information. Extracting meaning from this data can drive business forward, enable next-generation scientific breakthroughs and produce benefits that make a positive difference in our world. But it’s a challenging task which requires strong skills and training.

Data scientists are the people with that expertise, which explains why they have become key players in today’s job market. From industries as varied as health, defence, finance, transport and logistics, to agriculture, media and technology, there’s a growing reliance on data science professionals to deliver meaningful business insights.

Prepare yourself for excellent employment opportunities in this fast-growing field with the Master of Data Science and Decisions. Your study will explore programming languages, problem-solving and processing/interpreting/presenting data using qualitative and quantitative techniques.

Key features

  • Suitable for launching or accelerating your career
    This degree is designed for STEM graduates who are looking to enter the field and professionals who are looking to upskill. If you've recently graduated with a Bachelor of Mathematics, a Bachelor of Science (with a major in mathematics, statistics or computer science) or a Bachelor of Data Science and Decisions, this degree is a great next step on your professional journey. If you have industry experience in computer science, statistics or business analytics, this master’s program will expand your skills and knowledge to position you as a leader in your field.
  • Foundational skills, specialisations and project work
    This program will consolidate your skills across three key areas: mathematics and statistics, computer science and economics. You’ll gain deeper knowledge in your area of interest by pursuing a specialisation in computational, business, behavioural or quantitative data science and decisions. You’ll also develop research and communication skills in data science through project work.