[{"data":1,"prerenderedAt":29},["ShallowReactive",2],{"program-ms-in-statistical-science-104965":3},{"id":4,"name":5,"program":6,"department":7,"degree":8,"code":9,"gpa":10,"materials":10,"gre":10,"gmat":10,"ielts":10,"toefl":10,"studyMode":11,"years":10,"unit":12,"tuition":10,"startDate":13,"deadlineDate":14,"description":15,"add01Html":10,"universityId":16,"subjectAreaCode":17,"subjectAreaName":18,"subjectCode":10,"subjectName":19,"qsRank":20,"usNewsRank":20,"timesRank":20,"shanghaiRank":20,"dstatus":11,"createdTime":21,"updatedTime":22,"universityName":23,"unEnglishName":24,"unAbbreviation":25,"unQsRank":26,"unCode":27,"unCity":10,"universityCode":10,"countryCode":28},104965,"统计科学硕士","M.S. in Statistical Science","Department of Statistical Science","2","ms-in-statistical-science-104965",null,1,"CNY","2024-09-01 00:00:00","2025-01-05 00:00:00","统计科学硕士项目提供现代统计理论、方法和计算的全面教育。课程和项目工作强调基于随机模型进行推断和预测的方法，突出贝叶斯和机器学习方法。学生在建模复杂和潜在海量数据以及高级计算方法方面培养技能和专业知识，同时接触广泛的应用背景。我们的硕士项目对有兴趣从事工业、商业和政府专业职业的学生以及有兴趣过渡到统计学及相关领域博士研究的学生具有吸引力。所有统计科学项目的一个特点是将跨学科应用整合到各个层级的教学和研究中，这反映了该系与许多其他学科（生物医学科学、商业、计算和数据科学、经济学和金融学、工程科学、环境科学、基因组学和系统生物学、政治和政策科学等）广泛而深入的工作关系。杜克大学跨学科统计研究为学生提供了丰富的机会，这些机会还得到了该系与全国和全球的工业研究实验室、政府机构以及商业和非营利组织的内部联系的补充。这带来了研究旅行和定期学生实习的机会，以及后续的研究职业。此外，学生还有机会定期在美国国家统计科学研究所（NISS）进行合作研究。",2079,"4","自然科学","统计学",0,"2025-10-13 11:51:21","2026-02-05 13:45:15","杜克大学","Duke University","DUKE","0","duke","us",1772699347344]