信息技术/科学学士-统计

信息技术学士学位包括许多功能，这些功能旨在使学习吸引并吸引学生，同时培养出能够满足行业需求的毕业生。该学位提供了动手的，以项目为重点的研究，以及进行“夹心”工作场所经验的机会。在理学学士学位课程中，学生可以从一系列广泛的课程中进行选择，这些课程为以后几年完成专业课程奠定了基础。统计涉及数字数据的设计，收集，分析和解释，目的是提取模式和其他有用信息。例如，分析DNA和蛋白质序列，根据遗传数据构建进化树，通过实验设计改进医学治疗以及通过气象数据评估干旱状况。统计的主要特征是针对随机现象的统计和概率模型的开发和
This dual program lets you combine study in advanced information technology with a wide range of majors from the world of science. UQ's Bachelor of Information Technology will set you up for any number of career options working with computers and information, where you can apply your technical skills to solve problems, support innovation and improve communication between people. Topics covered include accounting, economics, law, marketing, business and strategy, and you'll also learn about software engineering, design, mathematics and information systems. The science program offers one of the broadest selections of disciplines in Australia, enabling you to develop your interdisciplinary scientific knowledge and practical skills while pursuing studies that suit your interests and ambitions. You'll also have the chance to gain relevant, real-world experience through employability and work-integrated learning. You'll graduate with highly developed knowledge in your specialist area, superior technical abilities, and advanced independent thinking and communication skills. <br><br>Statistics is an essential part of science, providing the mathematical language and techniques necessary for understanding and dealing with chance and uncertainty in nature. Statistics involves the design, collection, analysis and interpretation of numerical data, with the aim of extracting patterns and other useful information. Examples include the analysis of DNA and protein sequences, the construction of evolutionary trees from genetic data, the improvement of medical treatments via experimental designs, and the assessment of drought conditions through meteorological data. A main feature of statistics is the development and use of statistical and probabilistic models for random phenomena, which can be analysed and used to make principled predictions and decisions. Examples of such models can be found in biology, finance, physics, medicine, telecommunications, and reliability to name but a few.