理学学士-统计

统计学是科学的重要组成部分，它提供了理解和处理自然界中的偶然性和不确定性所必需的数学语言和技术。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使用，可以对其进行分析并用于进行有原则的预测和决策。可以在生物学（遗传学，人口模型），金融（股市波动，保险索赔），物理学（量子力学/计算），医学（流行病学，HIV / AIDS的传播
The Bachelor of Science is a versatile degree that provides students with the optimal balance between a defined sequence of study and flexible course options. This innovative program has been redesigned to develop graduates with the key practical skills and interdisciplinary knowledge required to address today's global challenges. Students will study an extensive range of courses underpinned by cutting edge research and develop high levels of personal initiative, independent thinking and communication skills. Graduates will be qualified for employment opportunities in a wide array of science and non-science industries. Develop scientific knowledge and key skills with this flexible program, which gives you the freedom to find or follow your scientific passion to pursue your career goals. Explore and challenge your scientific thinking in this popular program, which offers one of the broadest selections of science disciplines in Australia. Our extensive range of specialist fields enables you to develop your interdisciplinary scientific knowledge and practical skills, while pursuing studies that suit your interests and ambitions. You also have the option to combine your scientific expertise with skills from a broad range of study areas, including languages, communication and design, to broaden your skill set or follow your interests beyond science. Some majors offer fieldwork opportunities in locations such as the Great Barrier Reef, Fraser Island, national parks and outback Queensland. Plus you'll have the chance to gain relevant, real-world experience through employability and work-integrated learning such as internships, industry placements, research projects and international study. <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.