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Careers in information technology, mathematics and data science

Discover where studying at Australia's #1 university can take you.

Do you want your degree to set you up for the data-driven and global economy? Do you want to learn the universal language of abstraction and predictive modelling?

Or perhaps you want to explore the latest advancements in AI and cybersecurity and learn to pair creative thinking with practical applications in science and engineering. With a major in Information Technology, Mathematics and Statistics, or Data Science, you'll acquire crucial analytical and problem-solving skills that you can apply anywhere.

At the University of Melbourne, you will benefit from a curriculum designed by academics aligned with industry, giving you access to internships and industry projects. Develop the technical and professional skills needed to stay agile in a constantly evolving industry. Whether it’s big data, cloud computing, software engineering, or bioinformatics, you’ll be equipped to work in various settings – from your own start-up to multinational corporations and not-for-profits.

Gain a sound understanding of basic statistical approaches to summarise and analyse data, enhancing your managerial skills. Develop a strong foundation in the statistical aspects of data analysis, including data collection, data mining, modelling, and inference. Acquire the analytical abilities essential for managing and interpreting large, complex data sets across a range of industries.

Industry/market salary guide

11,173

advertised data science jobs in 2023

13,046

advertised mathematics and statistics jobs in 2023

32,071

advertised information technology (computing) jobs in 2023

$95,742

average salary of early career data scientists

$75,000

average salary of early career mathematician

$73,970

average salary of early career information technology specialist

Source: PayScale, 2026

Portrait of Kanupriya Arora
I pursued a Master of Data Science at the University of Melbourne, where I learned deep concepts of statistics and the intricacies of machine learning models and algorithms. This set a strong foundation for adapting to emerging technologies and the changing landscape of Data Science. Kanupriya Arora
4 people sitting at a table with laptops open in discussion

Where do our graduates go?

Mathematics and Statistics job titles include: Data analyst, data scientist, actuarial analyst, analyst, senior data analyst, senior data scientist, demand planner data engineer, business analyst, and pricing analyst.

Mathematics and Statistics employers can include: State and federal government departments Costco, Commonwealth Bank, Deloitte, Westpac Banking Corporation, Macquarie Group Limited, BUPA, ANZ Banking Group Limited, and Qantas.

Data Science job titles include: Data analyst, business analyst, data engineer, data scientist, process engineer, financial analyst, commercial analyst, finance analyst, reporting analyst, and junior data analyst.

Data Science employers can include: State and federal government departments, BHP Billiton, Deloitte, Amazon, Macquarie Group Ltd, Commonwealth Bank, Woolworths Limited, and RioTinto.

Information Technology job titles can include: Project manager, data analyst, senior project manager, project coordinator, business analyst, program manager, project scheduler planner, project administrator, and solutions architect.

Information Technology employers can include: State and federal government departments, Macquarie Group Limited, Commonwealth Bank, Deloitte, and Westpac.

Portrait of Minyuan Li
I completed a Bachelor of Science in Mathematics and Statistics in 2021 from the University of Melbourne, followed by a Master of Science in Mathematics and Finance from Imperial College London in 2023. Between my bachelor and master degrees, I obtained my first industry experience at EY Melbourne in 2022. I am now working as a quantitative researcher at JP Morgan Chase in London, United Kingdom. Minyuan Li

Get your career started

Learn to integrate and apply statistical and computation principles to analyse and effectively utilise global data. Develop a strong foundation statistical aspects of data analysis, including data collection, data mining, modelling and inference, as well as principles of computer science such as algorithms, data structures, data management and machine learning.

Study data science

Gain technological and analytical skills for effectively managing and interpreting large, complex data sets. The software industry is enormous and is growing exponentially.

Whether you are interested is app development, gaming, productivity software, databases, financial products or website development, the computer science ecosystem offers countless opportunities for you to thrive.

Study computer science

Qualified mathematicians and statisticians are in high demand due to a national shortage. Pursuing a major in Mathematics and Statistics at the University of Melbourne will equip you with effective analytical and problem-solving skills you can apply to several roles.

Study mathematics and statistics