微信扫一扫
学位介绍
学位：MPH in Biostatistics
培养目标：
职业/实践导向
注重训练学生的管理和实践能力，培养分析和解决实际公共卫生问题的方法
申请要点：
建议先修课：微积分，统计，生物基础课程
实习或实践经历
Master of Science in Biostatistics
培养目标：
学术/科研导向
注重培养科研能力
申请要点：
建议先修课: 比较看重数学和自然科学课程
课程设置
生物统计研究生阶段的课程主要还是围绕着统计以及统计和计算机技术在生物、医学、公共卫生领域的应用情况。例如Harvard的生物统计专业硕士研究生的课程（Course Requirements for the SM2 in Biostatistics）就包括：
BST 210 Applied Regression Analysis
BST 212 Survey Research Methods in Community Health
BST 214 Principles of Clinical Trials
BST 216 Introduction to Quantitative Methods for Monitoring and Evaluation
BST 217 Statistical and Quantitative Methods for Pharmaceutical Regulatory Services
BST 222 Basics of Statistical Inference
BST 223 Applied Survival Analysis
BST 226 Applied Longitudinal Analysis
BST 227 Introduction to Statistical Genetics
BST 228 Applied Bayesian Analysis
BST 230 Probability I
BST 231 Statistical Inference I
BST 232 Methods I
BST 233 Methods II
BST 234 Introduction to Data Structures and Algorithms
BST 235 Advanced Regression and Statistical Learning
BST 238 Advanced Topics in Clinical Trials
BST 246 Statistical Methods for Incomplete Data
BST 249 Bayesian Methods in Biostatistics or STAT 220 Bayesian Data Analysis
BST 254 Sec 2 Design and Monitoring of Adaptive Clinical Trials
BST 254 Sec 3 Measurement Error and Misclassification
BST 261 Data Science II
BST 267 Introduction to Social and Biological Networks
BST 280 Introductory Genomics & Bioinformatics for Health Research
BST 281 Genomic Data Manipulation
BST 282 Introduction to Computational Biology and Bioinformatics
BST 283 Cancer Genome Analysis
BST 290 Advanced Computational Biology and Bioinformatics
EPI 511 Advanced Population and Medical Genetics
GHP 261 Models of Complex Systems in Biology and Public Health
ID 271 Advanced Regression for Environmental Epidemiology
ID 542 Methods for Mediation and Interaction
