昆士蘭大學(xué)

Prepare yourself to research and develop the next big breakthroughs in technology and science with this dual degree program.

This four-year dual program will provide you with a focused background in computer science, and in-depth knowledge and expertise you'll gain through the mathematics program.

Computer science combines the theoretical studies of algorithms and data structures with practical training in implementing them in hardware and software systems. Skills learnt in this program are used in fields ranging from bioinformatics to digital humanities.

You'll develop the strong analytical, logical and development expertise necessary to advance computing and its applications. You can specialise in cyber security, data science, machine learning, programming languages or scientific computing.

In the mathematics component, you'll develop a comprehensive specialised knowledge in one field of mathematics or a high level of sophistication in the applications of mathematics generally.

Modern computation, advances in scientific technology and the increasing production of data have all increased how mathematics is applied beyond traditional areas, opening up your career opportunities to include fields such as finance, economics, information technology and molecular biology.

There is increasing recognition that graduates with high-level quantitative and analytical skills will play a key role at the forefront of new developments in these and other fields.

Data Analytics and Operations Research

Data analytics and operations research are both rapidly growing disciplines that use a range of mathematical, statistical and computational approaches to big data.

This major applies scientific information and decision-making to business management. You'll also learn the skills needed to analyse large and complex data sets and to make effective decisions.

This major will prepare you to work in a range of roles in financial services, technology, engineering, science and research.

You may choose to combine your major with a minor in bioinformatics, computational science, physics or statistics.