Overview

Learn the language that's pushing the world's fastest-growing industries forward.

Our world runs on data, and the people who can interpret it are in demand everywhere. The Graduate Diploma in Foundational Data Science is designed for analytically minded, ambitious go-getters looking to break into the rapidly expanding world of data science. Developed for students with or without an academic background in computer science or statistics, this course equips you with the essential technical and computational skills you need to interpret complex data, address real-world challenges, and keep pace with an increasingly data-driven world and job market.

Key features

• Turn numbers into insights. Build foundational expertise in statistics and computer science while you learn how to analyse, interpret and communicate your findings from large and complex data sets.
• From curious beginner to competent problem-solver. This course develops practical capability in statistical modelling, machine learning, algorithms, programming and analytical reasoning – no prior study in data science necessary.
• At the intersection of theory and real-world issues. Explore machine learning, data mining, databases, statistical inference and computational methods, all while addressing problems across commerce, finance, research and more.

Why study data science at Melbourne?

• Master the skills that are shaping modern industries. Keep pace with the rapidly advancing demands of a data-driven job market and build practical analytical capabilities across computational, statistical and problem-solving contexts.
• Your pathway into data science. Your subjects will be tailored to your academic background, with dedicated streams for students from engineering and science, computer science, statistics, and commerce and arts.
• Learn from those on the forefront. Attend seminars, visit research centres and connect with professionals across statistics, mathematics and computational science, and take advantage of opportunities to network with researchers and industry throughout your degree.

Student support

The School of Mathematics and Statistics offers data science students dedicated support from experienced academic advisors and peers.

• Research seminars. Learn from leading academics from the University research institutions, as well as partner organisations.
• Mathematics and Statistics Society. Engage with like-minded students through mathematically inspired events, study groups and seminars.
• Statistics and Mathematics Postgraduate Society. Designed specifically for postgraduate students, StAMPS offers academic and social support through events, study sessions, and seminars.

As a Melbourne student, you'll be supported to succeed — in your studies, your wellbeing and your finances.

• International student support. Visa and arrival help when you need it.
• Academic skills and advice. Meet an advisor or join a workshop to get the most from your studies.
• Global exchange. Study overseas through our network of global partners.
• Mentoring and community. Explore student life and student and alumni mentoring programs.
• Wellbeing and accommodation. Access health, counselling and accommodation support.
• Fees and scholarships. Find scholarships you're eligible for and manage your finances.

See all the ways Melbourne supports you.

About the faculty

Visit the School of Mathematics and Statistics to learn more about the school's degrees, research and career planning support.