统计学文学硕士

统计文学硕士课程为学生做好准备，使其能够在信息丰富，以数据为驱动力的劳动力队伍中进行工作，这些劳动力需要统计分析的一般技能和专门技能。这个由36个单元组成的程序主要用于兼职学习，涵盖统计学研究的基本要素，包括概率，统计计算和模型构建，实验设计，生存分析，贝叶斯统计和随机过程等课程。此外，这些课程以及必修课程为数学和统计学或其他学科（如人类学，生物学，经济学，政治学和心理学）的进一步博士学位学习提供了基础。除提供扎实的理论基础外，该计划还提供应用价值，在诸如预测分析和大数据等领域提供工具，策略和技术技能，以
The Master of Arts in Statistics prepares students to perform in an information-rich, data-driven workforce that requires both general and specialized skills in statistical analysis. The 36-unit program, designed primarily for part-time study, covers essential elements of statistical studies with courses in probability, statistical computation and model building, experimental design, survival analysis, Bayesian statistics, and stochastic processes. Additionally, these courses, along with a required practicum, provide a foundation for further doctoral-level study in mathematics and statistics, or in other academic disciplines such as anthropology, biology, economics, political science, and psychology. In addition to providing a solid theoretical foundation, the program also offers applied value, providing tools, strategies, and technical skills in areas such as predictive analytics and big data to help professionals in many fields analyze large volumes of data, make reliable and productive business decisions, and use technology efficiently. The program offers flexibility and a wide range of elective and applied courses that emphasize statistical analysis in mathematics, computer science, engineering, clinical investigation, biostatistics, economics, and business. Students may choose from a broad-based pool of elective courses across disciplines, or they may organize elective course work and design the required practicum in one of the optional tracks that correspond to strong industry demand for statisticians: Biology and Health, Business and Finance, and Engineering and Materials.