Biostatistics and Health Analytics, M.S.
The 21st century is the era of "big data." Every day, we create 2.5万亿字节的数据——如此之多，以至于今天世界上90%的数据都是在过去两年里创建的. 据估计，这些数据中有30%来自医疗保健行业. Saint Louis University's Master of Science (M.S.(生物统计与健康分析)课程不仅会让学生准备好处理这些数据，还会应用分析技术来回答与健康和医疗保健相关的重要研究问题.
Program Highlights
- 该课程是为对定量推理领域感兴趣的学生设计的, 编码和科学技能，以解决健康和医学问题. It is suited for those with 较强的定量分析能力和应用数学的愿望, statistics, 与健康相关问题的计算机编程和数据分析.
- An M.S. 生物统计与健康分析课程可以为学生的职业生涯做好准备，并为随后的统计科学博士学习提供坚实的学术基础.
The field of biostatistics is a science, technology, engineering and mathematics (STEM) focus area, 因为生物统计学是一门以数学为基础的科学. In 2006, 美国启动了一项计划，以增加接受STEM领域培训的学生人数. 该课程将满足毕业生对分析数据和推断的技术能力的需求.
Curriculum Overview
Students take courses in public health, the theory of biostatistics, methods of biostatistics and computing. 学生在流行病学和生物统计学系的一名教员的指导下完成一个顶点项目.
Two Concentrations Available
有兴趣学习生物统计学和数据分析技能的学生可以选择传统的生物统计学专业. 那些想要将他们的技能应用于地理空间数据的人可以选择地理空间健康数据分析专业. 这两个项目都需要一套生物统计学和分析学的核心材料, 然后每个浓度都有自己的完成要求.
Fieldwork and Research Opportunities
学生将有机会做研究作为他们的顶点项目的一部分.
Careers
Graduates of 博彩网址大全's M.S. 生物统计学和健康分析专业的学生将准备从事生物统计学家的工作, data scientists or data analysts. The number of students in the U.S. 获得生物统计学硕士学位的人数自2000年以来增加了7人.
Data scientists, 生物统计学家和统计学家经常被评为美国最顶尖的职业, measured in salary and job satisfaction.
Admission Requirements
申请人应具有科学相关领域的学士学位, such as chemistry, biology, physics, mathematics, engineering, etc., with an overall GPA of 2.5 or higher. 至少需要一学期的微积分和一门统计学入门课程.
Tuition
| Tuition | Cost Per Credit |
|---|---|
| Graduate Tuition | $1,370 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
公共卫生和社会正义学院提供了几种帮助资助研究生教育的方法. 机会包括数量有限的择优奖学金和研究生研究助理奖学金. 奖学金颁发给在优先截止日期前完成申请的gpa和考试成绩最高的申请人.
欲了解更多信息，请访问学生金融服务办公室 http://finaid.mcsoccer.net.
Accreditation
博彩网址大全公共卫生和社会正义学院获得了公共卫生教育委员会(CEPH)的全面认可。. 要查看我们最新的认证文件，请访问 College for Public Health and Social Justice website.
Learning Outcomes Common to Both Concentrations
- Foundations: 学生应该能够运用概率论和统计学的基本原理来发展估计和假设检验的方法.
- Analysis学生将运用先进的统计方法来分析数据，并作出推论，以回答公共卫生研究问题.
- Communication: Students will describe the process of data collection, the application of statistical methodology, 并以口头和书面形式统计分析结果.
传统生物统计学专业的额外学习成果
- Data and computing学生将运用相应的软件来收集、存储、管理、清理和分析数据.
- Design学生应该能够设计实验或数据收集策略, including sample size requirements, to answer research questions in public health.
地理空间和健康数据分析专业的额外学习成果
- Data management: 学生将获取、管理、分析和显示地理空间健康数据.
- Spatial and Spatio-temporal inference: 学生将建立和分析模型，以评估跨越时间和地理区域的人口健康.
| Code | Title | Credits |
|---|---|---|
| Required Core Courses | ||
| BST 5020 | Theory of Biostatistics | 3 |
| BST 5025 | Theory of Biostatistics II | 3 |
| BST 5100 | Introduction to General Linear Modeling | 3 |
| BST 5400 | Applied Data Management | 3 |
| PUBH 5010 | Mission and Practice of Global Public Health | 2 |
| PUBH 5030 | Methodological Approaches to Understanding Population Health | 3 |
| BST 5961 | Master's Project | 3 |
| Concentrations | 12 | |
| Select one of the following: | ||
| Elective | 3 | |
| Total Credits | 35 | |
Continuation Standards
学生必须保持累积平均绩点(GPA)为3.00 in all graduate/professional courses.
Electives
| Code | Title | Credits |
|---|---|---|
| BST 5220 | Multilevel and Longitudinal Data Analysis | 3 |
| BST 5230 | Bayesian Statistics | 3 |
| BST 5420 | Sampling Theory and Survey Design in Public Health | 3 |
| BST 6100 | Causal Inference | 3 |
| GIS 5030 | Geospatial Data Management | 3 |
| SOC 5670 | Spatial Demography – Applied Spatial Statistics | 3 |
| GIS 5120 | Geospatial Analytics | 3 |
Traditional Biostatistics Concentration
| Code | Title | Credits |
|---|---|---|
| BST 5030 | Statistical Programming and Study Planning: SAS | 3 |
| BST 5200 | Survival Data Analysis | 3 |
| BST 5210 | Categorical Data Analysis | 3 |
| BST 5500 | Statistical Learning | 3 |
| Total Credits | 12 | |
Geospatial Health Data Analytics Concentration
| Code | Title | Credits |
|---|---|---|
| GIS 5010 | Introduction to Geographic Information Systems | 3 |
| BST 5600 | R for Spatial Analysis | 3 |
| BST 5610 | Spatial Epidemiology and Disease Mapping | 3 |
| BST 5450 | Data Visualization | 3 |
| Total Credits | 12 | |
路线图是推荐的每个学期的学习计划，除非另有说明，否则假设全日制博彩网址大全.
Courses and milestones designated as critical (marked with !)必须在列出的学期内完成，以确保及时毕业. Transfer credit may change the roadmap.
这个路线图不应该用来代替定期的学术咨询预约. 鼓励所有学生每学期与他们的指导老师/导师见面. 要求，课程的可用性和顺序可能会发生变化.
Geospatial Health Data Analytics Concentration
| Year One | ||
|---|---|---|
| Fall | Credits | |
| BST 5020 | Theory of Biostatistics | 3 |
| BST 5400 | Applied Data Management | 3 |
| BST 5450 | Data Visualization | 3 |
| Credits | 9 | |
| Spring | ||
| BST 5025 | Theory of Biostatistics II | 3 |
| BST 5100 | Introduction to General Linear Modeling | 3 |
| BST 5600 | R for Spatial Analysis | 3 |
| PUBH 5030 | Methodological Approaches to Understanding Population Health | 3 |
| Credits | 12 | |
| Year Two | ||
| Fall | ||
| BST 5610 | Spatial Epidemiology and Disease Mapping | 3 |
| PUBH 5010 | Mission and Practice of Global Public Health | 2 |
| BST 5XXX | Biostatistics Elective | 3 |
| Credits | 8 | |
| Spring | ||
| GIS 5010 | Introduction to Geographic Information Systems | 3 |
| BST 5961 | Master's Project | 3 |
| Credits | 6 | |
| Total Credits | 35 | |
Traditional Biostatistics and Health Analytics Concentration
| Year One | ||
|---|---|---|
| Fall | Credits | |
| BST 5020 | Theory of Biostatistics | 3 |
| BST 5400 | Applied Data Management | 3 |
| BST 5030 | Statistical Programming and Study Planning: SAS | 3 |
| Credits | 9 | |
| Spring | ||
| BST 5025 | Theory of Biostatistics II | 3 |
| BST 5100 | Introduction to General Linear Modeling | 3 |
| PUBH 5030 | Methodological Approaches to Understanding Population Health | 3 |
| Credits | 9 | |
| Year Two | ||
| Fall | ||
| BST 5200 | Survival Data Analysis | 3 |
| BST 5210 | Categorical Data Analysis | 3 |
| BST 5500 | Statistical Learning | 3 |
| Credits | 9 | |
| Spring | ||
| BST 5961 | Master's Project | 3 |
| PUBH 5010 | Mission and Practice of Global Public Health | 2 |
| Elective | Biostatistics Elective chosen in consultation with mentor | 3 |
| Credits | 8 | |
| Total Credits | 35 | |
For additional admission questions please contact:
Bernie Backer
Director of Graduate Recruitment and Admissions
314-977-8144
bernard.backer@mcsoccer.net