数学学士-数据分析和运筹学

数学学士学位课程为期三年，旨在发展先进的定量和分析技能，因此您可以从事数学或该学科所影响的众多领域之一的高成就职业。在广泛的工作需求领域中磨练您的技能。这包括高级问题解决，逻辑思维，概念能力，沟通，数据处理和解释以及研究。选择应用数学，数据分析和运筹学，数学物理学，纯粹数学或统计学的专业。您还可以选择生物信息学，计算机科学或物理学的未成年人。与表现出色的同一起工作，并向澳大利亚的一些领先数学家学习。您将与对数学抱有共同热情的人们建立终身的个人和专业联系。数据分析和运筹学是一门快速发展的学科，它使用一系列数
You will develop comprehensive specialised knowledge in your chosen field of mathematics, or a high level of sophistication in the applications of mathematics generally. You can then apply your knowledge to sectors of the economy including finance, economics, information technology and molecular biology. You'll gain quantitative and analytical skills, along with a foundation of calculus, linear algebra, discrete mathematics, mathematical analysis and modelling. You will also develop a deep knowledge of mathematical topics and a high level of sophistication in the application of mathematics across a variety of fields and industries. As a graduate, you'll further benefit from our mathematics research and industry networks, which will widen your career options and help you excel in the mathematical aspects of other disciplines. The Bachelor of Mathematics caters to high-achieving students seeking to develop a comprehensive specialised knowledge in a field of mathematics or a high level of sophistication in the applications of mathematics. Mathematics is one of the most enduring fields of study and has consistently been proven as essential in an expanding number of disciplines and professions. Modern computation, advances in scientific technology and the increasing production of data have all increased the scope for applications of mathematics well beyond the traditional areas of engineering and the physical sciences, to include fields such as finance, economics, information technology and molecular biology. There is increasing recognition that graduates with high-level quantitative and analytic skills will play a key role at the forefront of new developments in these and other fields. <br><br>Data analytics and operations research are rapidly growing disciplines that use a range of mathematical, statistical and computational approaches to extract information and make decisions in areas from pure science research to applied business management. This major will provide students with skills in analysing large and complex data sets and making effective decisions using optimisation techniques.