专业简介
南加州大学的生物统计学（MS in Biostatistics）专业设立在医学院的硕士项目。该项目主要研究生物统计学理论、数据分析方法、实验设计(包括临床试验的设计、实施和分析)、人类遗传学的统计方法、生物医学信息学和先进的统计计算方法。统计方法从实践和理论两方面进行教学。
课程设置
该项目总共有39学分，其中28学分的核心课程，7学分的选修课程以及4学分的Thesis.
Core Courses (28 Units)
PM 510L Principles of Biostatistics Units: 4
PM 511aL Data Analysis Units: 4
PM 511bL Data Analysis Units: 4
PM 512 Principles of Epiemiology Units: 4
PM 513 Experimental Designs Units: 3
PM 518a Statistical Methos for Epiemiological Stuies I, II Units: 3
PM 522a Introuction to the Theory of Statistics Units: 3
PM 522b Introuction to the Theory of Statistics Units: 3
Electives (At Least 7 Units)
PM 511cL Data Analysis Units: 4
PM 516a Statistical Problem Solving Units: 1
PM 516b Statistical Problem Solving Units: 1
PM 518b Statistical Methos for Epiemiological Stuies I, II Units: 3
PM 520L Avance Statistical Computing Units: 3
PM 523 Design of Clinical Stuies Units: 3
PM 534 Statistical Genetics Units: 3
PM 544L Multivariate Analysis Units: 3
PM 551 Statistical Methos in Genome-Wie Association Stuies Units: 3
PM 552 Statistical Methos in Clinical Trials Units: 3
PM 560 Statistical Programming With R Units: 2
PM 566 Introuction to Health Data Science Units: 4
PM 569 Spatial Statistics Units: 3
PM 574 Programming In Moern Statistical Software Units: 2
PM 575 Statistical Methos in Environmental Epiemiology Units: 3
PM 579 Statistical Analysis of High-Dimensional Data Units: 4
PM 588 The Practice of Epiemiology Units: 4
PM 590 Directe Research Units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
PM 591 Machine Learning for the Health Sciences Units: 4
PM 603 Structural Equation Moeling Units: 4, 2 years
PM 604 Health Behavior Research Methos Units: 4
OR
MATH 542 Analysis of Variance an Design Units: 3
MATH 543 Nonparametric Statistics Units: 3
MATH 545 Introuction to Time Series Units: 3
MATH 547 Mathematical Founations of Statistical Learning Theory Units: 3
MATH 548 Sequential Analysis Units: 3
Thesis (4 Units)
PM 594a Master’s Thesis Units: 2
PM 594b Master’s Thesis Units: 2
申请材料及要求
Transcript
CV
Recommenation Letters
Statement of Purpose
English-Language Proficiency
GRE
申请日期
FALL:
Priority: December 1st
Final: May 1st
SPRING:October 1st
SUMMER:March 1st
就业方向
就业行业主要分布在大药厂和咨询公司，还有一些公共健康机构比如医院和疾控中心，大药企包括Novartis, Regeneron,等，还有咨询公司像IQVIA，都比较喜欢招收生物统计毕业的学生。就具体岗位职位，最多是数据分析师和生物统计师。
申请要点
1.申请人需要 拥有数学、统计学、计算机科学或相关领域的本科学位
- 有包括微积分、数理统计概论和基本的计算机编程的先修课基础
3.GPA最低要求是3.0，建议3.5+
4.TOEFL 90+并且单项20+或者IELTS6.5+单项6.0+
5.需要GRE建议320+
