Why study data and technology?
The world runs on data 鈥 and so will the future. Be a part of it with a career in data and technology.
The world runs on data 鈥 and so will the future. Be a part of it with a career in data and technology.
Data and technology refers to a broad and constantly evolving field where data specialists leverage information to extract meaningful insights and support decision-making. These data specialists will harness maths and statistics, computer programming, analytics, artificial intelligence (AI) and machine learning to analyse and understand the vast volumes of data being generated and collected globally every day.听
And the amount of data is only growing 鈥 approximately are created each day 鈥 which means that data specialists are in greater demand than ever.听
Data specialists 鈥渕ake discoveries while swimming in data. 鈥 [They鈥檙e] at ease in the digital realm, they are able to bring structure to large quantities of formless data and make analysis possible,鈥 write Thomas H. Davenport and DJ Patil for .听
鈥淭hey identify rich data sources, join them with other, potentially incomplete data sources, and clean the resulting set. In a competitive landscape where challenges keep changing and data never stops flowing, [they] help decision-makers shift from ad hoc analysis to an ongoing conversation with data.鈥
Broadly, careers in data engineering, data science and business analytics can include the collection of data from a variety of sources, organising that data for analysis, and then analysing that data using technology like business analytics platforms, predictive analytics and machine learning. Often, they鈥檒l also need to present their findings to the rest of their business or organisation using data visualisations or reports.
They work across every sector and industry. In science, data specialists might use their skills to build predictive models to predict climate change or the spread of infectious diseases. In tech, they might analyse on-demand streaming data to make recommendations. In business, they might analyse spending patterns to make economic forecasts. The applications are endless.
While data engineers, data scientists and business analysts require similar skill sets, there are differences in what each specialist does.
Data engineers develop new ways to store and access large amounts of data. They design, build and test data architecture and tools that make it easier to collect and analyse data.听
Data scientists analyse and interpret raw data to find insights and patterns that provide insights and solve problems.
Business analysts work in businesses to identify opportunities and make recommendations on business strategies.
The demand for data experts 鈥渉as raced ahead of supply鈥 around the world, according to the Harvard Business Review. This means there are plenty of opportunities to take your data and technology career in any direction you want.听
In Australia alone, the demand for data scientists is expected to grow by in the next five years, while the demand for business analysts is expected to grow by .
Jobs in data science, data engineering and business analytics include:
A career in data and technology requires highly specialised skills. This includes maths and statistics, computer programming, analytics, artificial intelligence (AI) and machine learning, as well as business and communication skills 鈥 making a formal qualification essential for a successful career. 麻豆社madou offers a variety of undergraduate, postgraduate and online study options in data and technology, spanning business, science, engineering and health.
Bachelor of Data Science and Decisions
The Bachelor of Data Science and Decisions will prepare you to compile, interpret and act on data in ways that make a big impact across every sector and industry. You鈥檒l gain the theoretical and practical skills required to enter the field of data analysis, where networking, decision-making, strategic thinking and attention to detail are essential.
Bachelor of Actuarial Studies or a major in Business Analytics in the Bachelor of Commerce
Actuaries help businesses, governments and individuals make critical decisions by analysing data, evaluating risks and identifying opportunities. 麻豆社madou's Bachelor of Actuarial Studies is one of the most prestigious actuarial programs in Australia. Business analytics is an increasingly popular specialisation, giving students a solid foundation in technical skills like statistical modelling, programming and database management, the ways businesses work, and the ethical and legal issues of data governance.
Master of Data Science and Decisions plus Graduate Diploma in Data Science and Decisions听补苍诲听Graduate Certificate in Data Science and Decisions
Our postgraduate qualifications in Data Science and Decisions explore the methods for organising, modelling and analysing large and complex data for business, governments or other organisations specialising in quantitative, computational, business or behavioural data science and decisions. You鈥檒l also develop essential research and communication skills in data science through hands-on project work.
Master of Information Technology with a specialisation in Data Science and Engineering
This is a future-focused specialisation, where you鈥檒l learn how to foresee 鈥痜uture鈥痶echnology鈥痳equirements in fast-growing areas such as artificial intelligence and cybersecurity听补苍诲 develop the applications, frameworks, products and services in networking, data mining, robotics and internet services to meet them.
Master of Actuarial Studies
This program gives you the data analytics and quantitative risk management training to become an actuary or pursue another related career in finance. You鈥檒l gain skills in actuarial models, financial mathematics, probability, machine learning / artificial intelligence analytics and commerce. Upon graduation you鈥檒l be ready for a quantitative role in industries including financial services, government, insurance and superannuation.
Specialise in Business Analytics in the Master of Commerce
The Master of Commerce provides a robust overview of the business world. By majoring in Business Analytics, you鈥檒l explore ways to organise, identify, analyse and ultimately use data to drive business outcomes. You鈥檒l develop advanced technical and mathematical skills to unpick complexities and make sense of the numbers.
Graduate Certificate in Business Analytics
The Graduate Certificate in Business Analytics will give you a foundational knowledge in business analytics and the technical skills to generate and communicate actionable insights from data. You鈥檒l come away with an understanding of the conceptual frameworks, modelling techniques, database management, and ethical debates to have a holistic view of business analytics.
Master of Science in Health Data Science 辫濒耻蝉听Graduate Diploma in Health Data Science听补苍诲听Graduate Certificate in Health Data Science
These programs focus on gathering, assessing and presenting data in a health setting. The Master of Science in Health Data Science is the first degree of its kind in Australasia. It explores the intersection of biostatistics, computer science and health to enable better decision-making in tackling critical health issues facing Australian and global communities.
Master of Data Science (Online) plus Graduate Diploma in Data Science (Online)听补苍诲听Graduate Certificate in Data Science (Online)
These postgraduate qualifications will help you to take your degree wherever you want it to go. You can specialise in areas such as machine learning, database systems or statistics. Study for this degree is fully online and can be completed in two years.
听补苍诲 Graduate Certificate in Business Analytics (Online)
The program is designed to fast-track your career in business analytics and meet the growing number of employment opportunities where data analytical capabilities are in high demand. Courses are delivered online in seven-week intensive blocks, which means you could graduate with a Graduate Certificate in Analytics in as little as 8 months.
These programs can be stacked with the Master of Analytics (Online) 鈥 see below.
The online Master of Analytics program is designed for ambitious working professionals who want to advance their analytics capabilities to make data-driven decisions. You鈥檒l come away with the expertise to influence business decisions and gain skills that can be applied across all industries.
This program can be stacked with the Graduate Certificate in Business Analytics (Online) and Graduate Diploma in Business Analytics (Online) 鈥 see above.
The Master of Analytics (Human Resource Analytics) will give you the specialist skills to address the demand for digital skills in HR. From optimising onboarding processes and identifying retention trends to improving employee experience, HR analytics can provide solutions to common human resource challenges.
A recent national report identified data science as one of the fastest-growing occupations in Australia. 麻豆社madou is primed to support the next wave of specialists to meet this rising demand.听
麻豆社madou is leading the way in data and technology.听麻豆社madou is leading the way in data and technology. 麻豆社madou鈥檚 School of Risk and Actuarial ranks #1 worldwide* in the UNL Global Research Rankings of Actuarial Science and Risk Management and Insurance, so students are assured they are getting taught by global leaders in the field. We鈥檙e also home to three of the best schools in Australia, including the #1 School of Mathematics and Statistics, the #1 School of Computer Science and Engineering, and the #3 School of Economics**.
We鈥檙e home to uDASH - 麻豆社madou Data Science Hub 鈥 which brings together data specialists from across the university to address complex, real-world challenges faced by business, industry, and government. uDASH has access to Australia鈥檚 fastest array of supercomputers, which means that simulations that can take days on high-end office machines may only take minutes or hours with our computing power.听
We鈥檙e also home to the Centre for Big Data Research in Health (CBDRH), Australia鈥檚 first research centre dedicated to health research using big data. CBDRH partners with government agencies, health organisations from the public, private and not-for-profit sectors, research funders, clinicians, health consumers and community members to enhance the health and wellbeing of all, by maximising the productive use of all possible sources of health big data in medical research.
*UNL Global Research Rankings of Actuarial Science, 2023
** QS World University Rankings By Subject, 2024
Explore your study options at 麻豆社madou and apply today.听