MS in Biostatistics
所属信息
基本信息
项目时长
2 years项目学分
46 credits学费估算
$1,870/course credit申请截止日期
-
秋季
-
常规
5/1(Rolling） -
早申请
2/1
-
其他
-
春季
12月15日 -
其他
Rolling till 4月15日
申请信息
托福/GRE Code
5688/8752【GRE not required】申请费
$80TOEFL要求
100.00
IELTS要求
7.50
成绩单寄送要求
需第三方认证
成绩单邮寄地址
SOPHAS P.O. Box 9111 Watertown, MA 02471-9111
推荐信要求
3
文书要求
MS Statement of Purpose
Applicants are required to submit a statement of purpose that addresses the following five questions (maximum 1,200 words).
1. Describe how your education and experiences have prepared you to join the NYU MS in Biostatistics program and to pursue a career in public health.
2. What do you perceive as your major strengths and weaknesses with respect to your current public health-related knowledge and skills, and how do you expect graduate study in the NYU MS in Biostatistics program to affect these attributes?
3. What are your current career goals and how will you use the education and training acquired from the NYU MS in Biostatistics program to address or advance them?
4. What does it mean to you to be a public health professional?
5. What do you view as an important challenge facing global health or public health at present or in the foreseeable future, and why?
MPH Statement of Purpose
The NYU MPH requires a typed, clearly written personal statement, which provides insight into your career goals; your interest in public health and the program; and how your education, work experience, and personal attributes have prepared you for admission to the program. Applicants are required to submit an essay no longer than 1200words in total, which addresses each of the following five questions either in a single narrative or by answering each individually. There are no "right" or "wrong" answers to the following questions, so we invite you to take this opportunity to creatively and honestly communicate your own engagement with public health and interest in graduate study at NYU.
1. Describe any prior and/or current health-related education or experience(s) you have, and how they have prepared you to join the NYU Master of Public Health program. If you do not have any prior or current health-related experience, please describe how your education and/or experience(s) have prepared you to pursue an education and career in public health.
2. What do you perceive as your major strengths and weaknesses with respect to your current public health-related knowledge and skills, and how do you expect graduate study in the NYU Master of PublicHealth program to affect these attributes?
3. What are your current career goals and how will you use the education and training acquired from the NYU Master of Public Health program to address or advance them?
4. What does it mean to you to be a global health or public health professional?
5. What do you view as an important/pressing challenge(s) facing global health or public health at present or in the foreseeable future, and why?
Applicants are required to submit a statement of purpose that addresses the following five questions (maximum 1,200 words).
1. Describe how your education and experiences have prepared you to join the NYU MS in Biostatistics program and to pursue a career in public health.
2. What do you perceive as your major strengths and weaknesses with respect to your current public health-related knowledge and skills, and how do you expect graduate study in the NYU MS in Biostatistics program to affect these attributes?
3. What are your current career goals and how will you use the education and training acquired from the NYU MS in Biostatistics program to address or advance them?
4. What does it mean to you to be a public health professional?
5. What do you view as an important challenge facing global health or public health at present or in the foreseeable future, and why?
MPH Statement of Purpose
The NYU MPH requires a typed, clearly written personal statement, which provides insight into your career goals; your interest in public health and the program; and how your education, work experience, and personal attributes have prepared you for admission to the program. Applicants are required to submit an essay no longer than 1200words in total, which addresses each of the following five questions either in a single narrative or by answering each individually. There are no "right" or "wrong" answers to the following questions, so we invite you to take this opportunity to creatively and honestly communicate your own engagement with public health and interest in graduate study at NYU.
1. Describe any prior and/or current health-related education or experience(s) you have, and how they have prepared you to join the NYU Master of Public Health program. If you do not have any prior or current health-related experience, please describe how your education and/or experience(s) have prepared you to pursue an education and career in public health.
2. What do you perceive as your major strengths and weaknesses with respect to your current public health-related knowledge and skills, and how do you expect graduate study in the NYU Master of PublicHealth program to affect these attributes?
3. What are your current career goals and how will you use the education and training acquired from the NYU Master of Public Health program to address or advance them?
4. What does it mean to you to be a global health or public health professional?
5. What do you view as an important/pressing challenge(s) facing global health or public health at present or in the foreseeable future, and why?
Prerequisite
不限制背景，与公共卫生相关的工作、志愿者、研究和/或实习经验受到重视。
申请材料
WES: Required
TOEFL iBT: 100 or higher
IELTS – Academic Exam: 7.5 (total band score)
GRE: Not Required
物料清单：
SOPHAS application
Transcripts
Three letters of recommendation
Statement of purpose
Resume/CV
English language proficiency exam
TOEFL iBT: 100 or higher
IELTS – Academic Exam: 7.5 (total band score)
GRE: Not Required
物料清单：
SOPHAS application
Transcripts
Three letters of recommendation
Statement of purpose
Resume/CV
English language proficiency exam
适宜学生
生物统计学理学硕士课程将培训学生学习生物统计方法，以便为科学和非专业受众进行研究设计、数据分析和统计报告。该学位将在关键领域培训学生，包括数据管理、统计推理、医学和公共卫生研究中用于科学推断的数字数据的解释，以及与科学家和其他跨学科公共卫生利益相关者有效合作和沟通的能力。该计划的毕业生准备在各种专业环境中担任统计学家，包括政府、学术、医疗保健和工业。此外，学生还接受培训，为公共卫生定量博士课程做准备，例如生物统计学和流行病学。
学生将有机会与教师合作研究许多公共卫生问题。例如：
- 阿尔茨海默病队列研究中随机定时生物标志物测量的问题。
- 由于延迟进入队列研究而导致的选择偏倚。
- 阿尔茨海默病的 N-of-1 研究设计。
- 混合方法 （定性/定量） 社区参与的研究，侧重于严格的测量。
- 基于社区的干预措施和健康差异研究的调查研究。
- 实施、评估和增强社区参与研究的基础设施
- 从个人生成的数据（社交媒体、移动工具、可穿戴设备等）中解析疾病发病率和风险的高精细度量
- 用于将非结构化数据纳入群体疾病建模的统计（时空）和机器学习方法
- 零膨胀计数模型，用于了解计数结果的变化（例如 物质使用、吸烟行为、性冒险）随时间的变化。
- 时间日记方法，用于了解日常行为、感知和个人健康之间的时间关联。
- 年轻性少数男性压力的生物生物标志物以及性少数群体压力与压力生物标志物之间的联系。
学生在课程之外可以参与多种积极的学习机会：
- 有一个期刊俱乐部，每两个月举行一次会议，他们选择和展示论文，并引导讨论论文中的设计和分析问题。
- 有计算和编码方面的短期课程，例如 Stata 和 R。
- 有一个咨询实验室，学生可以在其中接受提供统计咨询的指导。
MPH-46学分的 CEPH 认证生物统计学专业将培养您统计推理和方法应用于公共卫生、医疗保健、生物医学、临床和人口数据分析。在全球公共卫生学院，您将有无数机会培养技能，为在全球公共卫生领域成功就业做好准备。在纽约大学全球公共卫生学院，您将获得无数的专业发展机会，包括实验室、实习、奖学金、就业、志愿者机会、专业协会会员资格等。
学生将有机会与教师合作研究许多公共卫生问题。例如：
- 阿尔茨海默病队列研究中随机定时生物标志物测量的问题。
- 由于延迟进入队列研究而导致的选择偏倚。
- 阿尔茨海默病的 N-of-1 研究设计。
- 混合方法 （定性/定量） 社区参与的研究，侧重于严格的测量。
- 基于社区的干预措施和健康差异研究的调查研究。
- 实施、评估和增强社区参与研究的基础设施
- 从个人生成的数据（社交媒体、移动工具、可穿戴设备等）中解析疾病发病率和风险的高精细度量
- 用于将非结构化数据纳入群体疾病建模的统计（时空）和机器学习方法
- 零膨胀计数模型，用于了解计数结果的变化（例如 物质使用、吸烟行为、性冒险）随时间的变化。
- 时间日记方法，用于了解日常行为、感知和个人健康之间的时间关联。
- 年轻性少数男性压力的生物生物标志物以及性少数群体压力与压力生物标志物之间的联系。
学生在课程之外可以参与多种积极的学习机会：
- 有一个期刊俱乐部，每两个月举行一次会议，他们选择和展示论文，并引导讨论论文中的设计和分析问题。
- 有计算和编码方面的短期课程，例如 Stata 和 R。
- 有一个咨询实验室，学生可以在其中接受提供统计咨询的指导。
MPH-46学分的 CEPH 认证生物统计学专业将培养您统计推理和方法应用于公共卫生、医疗保健、生物医学、临床和人口数据分析。在全球公共卫生学院，您将有无数机会培养技能，为在全球公共卫生领域成功就业做好准备。在纽约大学全球公共卫生学院，您将获得无数的专业发展机会，包括实验室、实习、奖学金、就业、志愿者机会、专业协会会员资格等。
特点及课程设置
International Students: This program is eligible for the OPT STEM extension.
课程设置：
MS in Biostatistics：共计需要修读46学分
https://publichealth.nyu.edu/programs/master-science-biostatistics
Required Courses（18 credits）：
GPH-GU 2106: Epidemiology - 3 credits
GPH-GU 2995: Biostatistics for Public Health - 3 credits
GPH-GU 2353: Regression I: Linear Regression and Modeling - 3 credits
GPH-GU 2354: Regression II: Categorical Data Analysis - 3 credits
GPH-GU 2361: Research Methods in Public Health - 3 credits
or GPH-GU 5361: Research Methods in Public Health
GPH-GU 2450: Intermediate Epidemiology - 3 credits
GPH-GU 5170: Introduction to Public Health - 0 credits
Selective Courses（12 credits）：
Select one of the following( 3 credits):
GPH-GU 2286: Introduction to Data Management and Statistical Computing
GPH-GU 2182: Statistical Programming in R
Select one of the following( 3 credits):
GPH-GU 2225: Psychometric Measurement and Analysis in Public Health Research and Practice
GPH-GU 2387: Survey Design, Analysis, and Reporting
Select one of the following( 3 credits):
GPH-GU 2480: Longitudinal Analysis of Public Health Data
GPH-GU 2368: Applied Survival Analysis
Select one of the following( 3 credits):
GPH-GU 2930: Epidemiological Methods and Design
GPH-GU 3225: Statistical Inference
GPH-GU 2363: Causal Inference: Design and Analysis
APSTA-GE 2012: Causal Inference
Electives (12 credits required)：
Must take GPH-GU 2338 Machine Learning in Public Health first.
Requires approval of the Chair.
Students who enroll in GPH-GU 2286 may not also take GPH-GU 2022 due to course content overlap. For students who want to take both courses, please note that GPH-GU 2022 will not count towards the degree requirements.
GPH-GU 3152: Advanced Agent-Based Modeling - 3 credits
GPH-GU 5152: Introduction to Agent-Based Modeling - 3 credits
DS-GA 1019: Advanced Python for Data Science - 3 credits
GPH-GU 2372: Applied Bayesian Analysis in Public Health - 3 credits
APSTA-GE 2015: Applied Spatial Statistics - 2 credits
GPH-GU 2368: Applied Survival Analysis - 3 credits
DS-GA 1004: Big Data - 3 credits
CUSP-GX 8083: Big Data Management & Analysis - 3 credits
GPH-GU 2235: Biostatistical Consulting - 3 credits
GPH-GU 2363: Causal Inference: Design and Analysis - 3 credits
APSTA-GE 2012: Causal Inference - 3 credits
GPH-GU 2336: Critical Reading of the Biostatistical Literature - 3 credits
GPH-GU 2233: Data, AI, and the People's Health - 3 credits
GPH-GU 2380: Data-Driven Decision Making in Global Public Health - 3 credits
APSTA-GE 2017: Databases and Data Science Practicum - 2 credits
APSTA-GE 2331: Data Science for Social Impact - 3 credits
ECE-GY 7123: DEEP LEARNING (same course as CS-GY 6953) - 3 credits
CS-GY 6953: Deep Learning (same course as ECE-GY 7123) - 3 credits
GPH-GU 2930: Epidemiological Methods and Design - 3 credits
DS-GA 1011: Fundamentals of Natural Language Processing - 3 credits
URPL-GP 2618: Geographic Information Systems and Analysis - 3 credits
GPH-GU 2126: Healthcare Claims Data Analysis - 3 credits
GPH-GU 2244: Health Care Management Science - 3 credits
GPH-GU 2324: Infectious Disease Epidemiology - 3 credits
GPH-GU 2152: Introduction to Agent-Based Modeling - 3 credits
GPH-GU 2286: Introduction to Data Management and Statistical Computing - 3 credits
APSTA-GE 2110: Large Databases in Applied Research - 3-4 credits
GPH-GU 2480: Longitudinal Analysis of Public Health Data - 3 credits
DS-GA 1003: Machine Learning - 3 credits
GPH-GU 2338: Machine Learning in Public Health - 3 credits
APSTA-GE 2013: Missing Data - 2 credits
APSTA-GE 2094: Modern Approaches in Measurement - 3 credits
GPH-GU 2274: Outbreak Epidemiology: Re-emerging and Emerging Infectious Diseases - 3 credits
DS-GA 1018: Probabilistic Time Series Analysis - 3 credits
DS-GA 1007: Programming for Data Science - 3 credits
GPH-GU 2225: Psychometric Measurement and Analysis in Public Health Research and Practice - 3 credits
GPH-GU 2022: SAS for Beginners: Data Management and Exploration - 1 credit
ECE-GY 9343: SEL TOP: TELECOM NETWORK - 3 credits
GPH-GU 2366: Sequential Methods in Clinical Trials - 3 credits
GPH-GU 2198: Simulations in Biostatistics - 2 credits
GPH-GU 2512: Special Topics: Applied Spatial Statistics for Public Health - 1 credit
DS-GA 3001: Special Topics in Data Science - 3 credits
GPH-GU 3225: Statistical Inference - 3 credits
GPH-GU 2378: Statistical Methods in Genomics and Bioinformatics - 3 credits
GPH-GU 2182: Statistical Programming in R - 3 credits
APSTA-GE 2014: Stats Analysis of Networks - 3 credits
PHDSW-GS 3069: Structural Equation Modeling - 3 credits
GPH-GU 2387: Survey Design, Analysis, and Reporting - 3 credits
DS-GA 1015: Text as Data - 3 credits
GPH-GU 2105: Thinking Critically and Ethically in Public Health - 1.5 credits
GPH-GU 2137: Topics in Dynamic Modeling - 3 credits
BI-GY 7633: Transcriptomics - 3 credits
Culminating Experience (4 credits required)：
GPH-GU 2686: Thesis I: Practice and Integrative Learning Experiences - 2 credits
GPH-GU 2687: Thesis II: Practice and Integrative Learning Experiences - 2 credits
MPH in Biostatistics：共计需要修读46学分
https://publichealth.nyu.edu/master-public-health/concentrations/biostatistics?id=degree-requirements#degree
Required Courses（18 credits）：
All students in the Biostatistics concentration take the following courses (18 credits):
GPH-GU 2030: Introduction to Global Health (2) [F, S]
GPH-GU 2106: Epidemiology (3) [F, S]
GPH-GU 2110: Health Care Policy (2) [F, S, Su]
GPH-GU 2112: Public Health Management and Leadership (2) [F, S, Su]
GPH-GU 2140: Global Issues in Social and Behavioral Health (3) [F, S]
GPH-GU 2153: Global Environmental Health (3) [F, S, Su]
GPH-GU 2995: Biostatistics for Public Health (3) [F, S, Su]
GPH-GU 5171: Global Health Informatics Workshop (0) [F]
GPH-GU 5170: Introduction to Public Health (0) [F, S]
All students in the Biostatistics concentration must take the following courses (6 credits):
GPH-GU 2353: Regression I: Linear Regression and Modeling (3) [F, S]
GPH-GU 2354: Regression II: Categorical Data Analysis (3) [F]
Selective Courses（9 credits）：
Selective courses (9) students choose from each of the following sets of courses below. Please note that you may take the other course as an elective.
Choose one of the following:
GPH-GU 2286: Introduction to Data Management and Statistical Computing (3) [F]
GPH-GU 2182: Statistical Programming in R (3) [F]
Choose one of the following:
GPH-GU 2225: Psychometric Measurement & Analysis in Public Health Research & Practice (3) [S, Su]
GPH-GU 2387: Survey Design, Analysis, and Reporting (3) [F]
Choose one of the following:
GPH-GU 2480: Longitudinal Analysis of Public Health Data (3) [S]
GPH-GU 2368: Applied Survival Analysis (3) [S]
Electives (9 credits required)：
All students in the Biostatistics concentration must take 9 credits of electives as follows:
Group A Electives: Methods (choose 3 credits)
GPH-GU 3152/5152: Advanced Agent-Based Modeling (3) [S]
CUSP-GX 8083: Big Data Management and Analysis (3)**
GPH-GU 2235: Biostatistical Consulting (3) [S]
GPH-GU 2336: Critical Reading of the Biostatistical Literature (3) [S]
APSTA-GE 2017: Databases and Data Science Practicum (2)
GPH-GU 2380: Data-Driven Decision-Making in Global Public Health (3) [F] (requires approval of the Chair)
CUSP-GX 8103: Data-Driven Methods for Policy Evaluation (3)**
APSTA-GE 2331: Data Science for Social Impact (3)* (requires approval of the Chair)
DS-GA 1008: Deep Learning (3)
GPH-GU 2930: Epidemiology Design and Methods (3) [F]
URPL-GP 2618: Geographic Systems & Analysis (3)
GPH-GU 2244: Health Care Management Science (3) [S] (requires approval of the Chair)
GPH-GU 2126: Healthcare Claims Data Analysis (3) [S]
GPH-GU 2324: Infectious Disease Epidemiology (3) [varies] (requires approval of the Chair)
GPH-GU 2450: Intermediate Epidemiology (3) [S]
GPH-GU 2152: Introduction to Agent-Based Modeling (3) [F]
GPH-GU 2286: Introduction to Data Management & Statistical Computing (3)
APSTA-GE 2110: Large Databases in Applied Research (3)*
GPH-GU 2274: Outbreak Epidemiology Re-Emerging and Emerging Infectious Disease (3) [varies] (requires approval of the Chair)
DS-GA 1007: Programming for Data Science (3)***
GPH-GU 2160: Qualitative and Field Methods (3) [F]
GPH-GU 2361/5361: Research Methods in Public Health (3) [F, S]
GPH-GU 2022: SAS for Beginners: Data Management and Exploration (1)
ECE-GY 9343: SEL TOP: TELECOM NETWORK (3)* (requires approval of the Chair)
GPH-GU 2198: Simulations in Biostatistics (2) [Su]
GPH-GU 2182: Statistical Programming in R (3) [F]
GPH-GU 2105: Thinking Critically and Ethically in Public Health (1.5) [F, S]
BI-GY 7633: Transcriptomics (3)****
Group B Electives: Statistics (choose 6 credits)
GPH-GU 3152/5152: Advanced Agent-Based Modeling (3) [S]
GPH-GU 2372: Applied Bayesian Analysis in Public Health (3) [F]
GPH-GU 2368: Applied Survival Analysis (3) [S]
APSTA-GE 2015: Applied Spatial Statistics (2)*
GPH-GU 2363: Causal Inference: Design and Analysis (3) [F]
APSTA-GE 2012: Causal Inference (3) (pre-req or co-req: GPH-GU 2354 Regression II)*
GPH-GU 2233: Data, AI, and the People's Health (3) [F]
CS-GY 6953: Deep Learning (3) - (same course as ECE-GY 7123)****
ECE-GY 7123: Deep Learning (3) - (same course as CS-GY 6953)****
DS-GA 1011: Fundamentals of Natural Language Processing (3)***
GPH-GU 2126: Healthcare Claims Data Analysis (3) [S]
GPH-GU 2480: Longitudinal Analysis of Public Health Data (3) [S]
DS-GA 1003: Machine Learning (3) - (must take GPH-GU 2338 first)*** (requires approval of the Chair)
GPH-GU 2338: Machine Learning in Public Health (3) [S]
APSTA-GE 2013: Missing Data (2)*
APSTA-GE 2094: Modern Approaches in Measurement (3)*
DS-GA 1018: Probabilistic Time Series Analysis (3)***
GPH-GU 2225: Psychometric Measurement & Analysis in Public Health Research & Practice (3) [F, Su]
GPH-GU 2366: Sequential Methods in Clinical Trials (3) [S]
GPH-GU 2512: Special Topics: Applied Spatial Statistics in Public Health (1) [varies]
APSTA-GE 2014: Stats Analysis of Networks (3)*
GPH-GU 3225: Statistical Inference (3) [F]
GPH-GU 2378: Statistical Methods in Genomics and Bioinformatics (3) [F]
PHDSW-GS 3069: Structural Equation Modeling (3)
GPH-GU 2387: Survey Design, Analysis, and Reporting (3) [F]
DS-GA 1015: Text as Data (3)***
GPH-GU 2137: Topics in Dynamic Modeling (3) [F]
BI-GY 7633: Transcriptomics (3)****
The culminating experience for students in the Biostatistics concentration consists of:
a minimum of 180 hours of a practice experience, completed prior to Thesis I, and;
a two-semester MPH thesis.
GPH-GU 2686: Thesis I: Practice and Integrative Learning Experiences (2) [F]
GPH-GU 2687: Thesis II: Practice and Integrative Learning Experiences (2) [S]
职业发展方向
Recent Employment Statistics
The statistics below reflect employment data from the 2022 graduating class.
99% Employed or Continuing Education Within 1 Year of Graduation:
Employed: 86%; Continuing Education: 13% (Class of 2022)
Graduates are employed in a variety of sectors:
Academic: 33%; Nonprofit/NGO: 30%; Health care: 19%; Government: 9%; Other: 9%
Master of Public Health Graduates Work Around the Globe:
Over 3,000 Masters and Doctoral graduates work around the globe in 42 countries.
Many graduates are working outside of the US:
Africa
Asia
Australia
Canada
Caribbean
Europe
India
Mexico
Middle East
New Zealand
Chile
Indonesia
A majority of graduates are working in the US:
California
Connecticut
Florida
Georgia
Illinois
Maryland
Massachusetts
New Jersey
New York
Pennsylvania
Texas
Washing D.C.
Representative Positions
Associate Director, Research Partnerships, The Michael J. Fox Foundation for Parkinson's Disease
Behavioral Scientist, Centers for Disease Control and Prevention
Biostatistician, NYC DOHMH
Chief Operating Officer, Florida Institute for Health Innovation
City Research Scientist, NYC Department of Health and Mental Hygiene
Clinic Coordinator, The Canadian Centre for Refugee and Immigrant Health Care
Clinical Research Project Manager, Palo Alto Veterans Institute for Research
Consultant, Becton, Dickinson & Co.
Data Analyst, NYC Department of Health and Neutral Hygiene
Dietician/Nutritionist, New Mexico Department of Health
Director, Pfizer
Global Research Fellow, International Centre for Trade and Sustainable Development
Health and Benefits Consulting Analyst, Mercer
Health Education Coordinator, Mount Sinai School of Medicine
Health Educator, Harlem Children’s Zone
Infection Control Epidemiologist, Johns Hopkins Medicine
Nutrition Program Manager, Community Healthcare Network
Principal, GE Healthcare Partners
Program Coordinator, Columbia University Medical Center
Program Coordinator, Human Rights Clinic, HealthRight International
Program Manager, Parker Institute for Cancer Immunotherapy
Project Director, HIV Center, New York State Psychiatric Institute
Project Director, Trenton Health Team
Project Manager, NYC DOHMH
Public health specialist, Ministry of Health, Saudi Arabia
Recruitment Manager HIV Research, Children's Aid Society
Research Coordinator, Mount Sinai Medical Center
Senior Director, Global Policy and External Affairs, EMD Serono, Inc.
Senior Director, Mount Sinai
Senior Oncology Pharmacist, Memorial Sloan-Kettering Cancer Center
Senior Research Assistant, University of Ghana
Tuberculosis Controller, Texas Department of State Health Service
课程设置：
MS in Biostatistics：共计需要修读46学分
https://publichealth.nyu.edu/programs/master-science-biostatistics
Required Courses（18 credits）：
GPH-GU 2106: Epidemiology - 3 credits
GPH-GU 2995: Biostatistics for Public Health - 3 credits
GPH-GU 2353: Regression I: Linear Regression and Modeling - 3 credits
GPH-GU 2354: Regression II: Categorical Data Analysis - 3 credits
GPH-GU 2361: Research Methods in Public Health - 3 credits
or GPH-GU 5361: Research Methods in Public Health
GPH-GU 2450: Intermediate Epidemiology - 3 credits
GPH-GU 5170: Introduction to Public Health - 0 credits
Selective Courses（12 credits）：
Select one of the following( 3 credits):
GPH-GU 2286: Introduction to Data Management and Statistical Computing
GPH-GU 2182: Statistical Programming in R
Select one of the following( 3 credits):
GPH-GU 2225: Psychometric Measurement and Analysis in Public Health Research and Practice
GPH-GU 2387: Survey Design, Analysis, and Reporting
Select one of the following( 3 credits):
GPH-GU 2480: Longitudinal Analysis of Public Health Data
GPH-GU 2368: Applied Survival Analysis
Select one of the following( 3 credits):
GPH-GU 2930: Epidemiological Methods and Design
GPH-GU 3225: Statistical Inference
GPH-GU 2363: Causal Inference: Design and Analysis
APSTA-GE 2012: Causal Inference
Electives (12 credits required)：
Must take GPH-GU 2338 Machine Learning in Public Health first.
Requires approval of the Chair.
Students who enroll in GPH-GU 2286 may not also take GPH-GU 2022 due to course content overlap. For students who want to take both courses, please note that GPH-GU 2022 will not count towards the degree requirements.
GPH-GU 3152: Advanced Agent-Based Modeling - 3 credits
GPH-GU 5152: Introduction to Agent-Based Modeling - 3 credits
DS-GA 1019: Advanced Python for Data Science - 3 credits
GPH-GU 2372: Applied Bayesian Analysis in Public Health - 3 credits
APSTA-GE 2015: Applied Spatial Statistics - 2 credits
GPH-GU 2368: Applied Survival Analysis - 3 credits
DS-GA 1004: Big Data - 3 credits
CUSP-GX 8083: Big Data Management & Analysis - 3 credits
GPH-GU 2235: Biostatistical Consulting - 3 credits
GPH-GU 2363: Causal Inference: Design and Analysis - 3 credits
APSTA-GE 2012: Causal Inference - 3 credits
GPH-GU 2336: Critical Reading of the Biostatistical Literature - 3 credits
GPH-GU 2233: Data, AI, and the People's Health - 3 credits
GPH-GU 2380: Data-Driven Decision Making in Global Public Health - 3 credits
APSTA-GE 2017: Databases and Data Science Practicum - 2 credits
APSTA-GE 2331: Data Science for Social Impact - 3 credits
ECE-GY 7123: DEEP LEARNING (same course as CS-GY 6953) - 3 credits
CS-GY 6953: Deep Learning (same course as ECE-GY 7123) - 3 credits
GPH-GU 2930: Epidemiological Methods and Design - 3 credits
DS-GA 1011: Fundamentals of Natural Language Processing - 3 credits
URPL-GP 2618: Geographic Information Systems and Analysis - 3 credits
GPH-GU 2126: Healthcare Claims Data Analysis - 3 credits
GPH-GU 2244: Health Care Management Science - 3 credits
GPH-GU 2324: Infectious Disease Epidemiology - 3 credits
GPH-GU 2152: Introduction to Agent-Based Modeling - 3 credits
GPH-GU 2286: Introduction to Data Management and Statistical Computing - 3 credits
APSTA-GE 2110: Large Databases in Applied Research - 3-4 credits
GPH-GU 2480: Longitudinal Analysis of Public Health Data - 3 credits
DS-GA 1003: Machine Learning - 3 credits
GPH-GU 2338: Machine Learning in Public Health - 3 credits
APSTA-GE 2013: Missing Data - 2 credits
APSTA-GE 2094: Modern Approaches in Measurement - 3 credits
GPH-GU 2274: Outbreak Epidemiology: Re-emerging and Emerging Infectious Diseases - 3 credits
DS-GA 1018: Probabilistic Time Series Analysis - 3 credits
DS-GA 1007: Programming for Data Science - 3 credits
GPH-GU 2225: Psychometric Measurement and Analysis in Public Health Research and Practice - 3 credits
GPH-GU 2022: SAS for Beginners: Data Management and Exploration - 1 credit
ECE-GY 9343: SEL TOP: TELECOM NETWORK - 3 credits
GPH-GU 2366: Sequential Methods in Clinical Trials - 3 credits
GPH-GU 2198: Simulations in Biostatistics - 2 credits
GPH-GU 2512: Special Topics: Applied Spatial Statistics for Public Health - 1 credit
DS-GA 3001: Special Topics in Data Science - 3 credits
GPH-GU 3225: Statistical Inference - 3 credits
GPH-GU 2378: Statistical Methods in Genomics and Bioinformatics - 3 credits
GPH-GU 2182: Statistical Programming in R - 3 credits
APSTA-GE 2014: Stats Analysis of Networks - 3 credits
PHDSW-GS 3069: Structural Equation Modeling - 3 credits
GPH-GU 2387: Survey Design, Analysis, and Reporting - 3 credits
DS-GA 1015: Text as Data - 3 credits
GPH-GU 2105: Thinking Critically and Ethically in Public Health - 1.5 credits
GPH-GU 2137: Topics in Dynamic Modeling - 3 credits
BI-GY 7633: Transcriptomics - 3 credits
Culminating Experience (4 credits required)：
GPH-GU 2686: Thesis I: Practice and Integrative Learning Experiences - 2 credits
GPH-GU 2687: Thesis II: Practice and Integrative Learning Experiences - 2 credits
MPH in Biostatistics：共计需要修读46学分
https://publichealth.nyu.edu/master-public-health/concentrations/biostatistics?id=degree-requirements#degree
Required Courses（18 credits）：
All students in the Biostatistics concentration take the following courses (18 credits):
GPH-GU 2030: Introduction to Global Health (2) [F, S]
GPH-GU 2106: Epidemiology (3) [F, S]
GPH-GU 2110: Health Care Policy (2) [F, S, Su]
GPH-GU 2112: Public Health Management and Leadership (2) [F, S, Su]
GPH-GU 2140: Global Issues in Social and Behavioral Health (3) [F, S]
GPH-GU 2153: Global Environmental Health (3) [F, S, Su]
GPH-GU 2995: Biostatistics for Public Health (3) [F, S, Su]
GPH-GU 5171: Global Health Informatics Workshop (0) [F]
GPH-GU 5170: Introduction to Public Health (0) [F, S]
All students in the Biostatistics concentration must take the following courses (6 credits):
GPH-GU 2353: Regression I: Linear Regression and Modeling (3) [F, S]
GPH-GU 2354: Regression II: Categorical Data Analysis (3) [F]
Selective Courses（9 credits）：
Selective courses (9) students choose from each of the following sets of courses below. Please note that you may take the other course as an elective.
Choose one of the following:
GPH-GU 2286: Introduction to Data Management and Statistical Computing (3) [F]
GPH-GU 2182: Statistical Programming in R (3) [F]
Choose one of the following:
GPH-GU 2225: Psychometric Measurement & Analysis in Public Health Research & Practice (3) [S, Su]
GPH-GU 2387: Survey Design, Analysis, and Reporting (3) [F]
Choose one of the following:
GPH-GU 2480: Longitudinal Analysis of Public Health Data (3) [S]
GPH-GU 2368: Applied Survival Analysis (3) [S]
Electives (9 credits required)：
All students in the Biostatistics concentration must take 9 credits of electives as follows:
Group A Electives: Methods (choose 3 credits)
GPH-GU 3152/5152: Advanced Agent-Based Modeling (3) [S]
CUSP-GX 8083: Big Data Management and Analysis (3)**
GPH-GU 2235: Biostatistical Consulting (3) [S]
GPH-GU 2336: Critical Reading of the Biostatistical Literature (3) [S]
APSTA-GE 2017: Databases and Data Science Practicum (2)
GPH-GU 2380: Data-Driven Decision-Making in Global Public Health (3) [F] (requires approval of the Chair)
CUSP-GX 8103: Data-Driven Methods for Policy Evaluation (3)**
APSTA-GE 2331: Data Science for Social Impact (3)* (requires approval of the Chair)
DS-GA 1008: Deep Learning (3)
GPH-GU 2930: Epidemiology Design and Methods (3) [F]
URPL-GP 2618: Geographic Systems & Analysis (3)
GPH-GU 2244: Health Care Management Science (3) [S] (requires approval of the Chair)
GPH-GU 2126: Healthcare Claims Data Analysis (3) [S]
GPH-GU 2324: Infectious Disease Epidemiology (3) [varies] (requires approval of the Chair)
GPH-GU 2450: Intermediate Epidemiology (3) [S]
GPH-GU 2152: Introduction to Agent-Based Modeling (3) [F]
GPH-GU 2286: Introduction to Data Management & Statistical Computing (3)
APSTA-GE 2110: Large Databases in Applied Research (3)*
GPH-GU 2274: Outbreak Epidemiology Re-Emerging and Emerging Infectious Disease (3) [varies] (requires approval of the Chair)
DS-GA 1007: Programming for Data Science (3)***
GPH-GU 2160: Qualitative and Field Methods (3) [F]
GPH-GU 2361/5361: Research Methods in Public Health (3) [F, S]
GPH-GU 2022: SAS for Beginners: Data Management and Exploration (1)
ECE-GY 9343: SEL TOP: TELECOM NETWORK (3)* (requires approval of the Chair)
GPH-GU 2198: Simulations in Biostatistics (2) [Su]
GPH-GU 2182: Statistical Programming in R (3) [F]
GPH-GU 2105: Thinking Critically and Ethically in Public Health (1.5) [F, S]
BI-GY 7633: Transcriptomics (3)****
Group B Electives: Statistics (choose 6 credits)
GPH-GU 3152/5152: Advanced Agent-Based Modeling (3) [S]
GPH-GU 2372: Applied Bayesian Analysis in Public Health (3) [F]
GPH-GU 2368: Applied Survival Analysis (3) [S]
APSTA-GE 2015: Applied Spatial Statistics (2)*
GPH-GU 2363: Causal Inference: Design and Analysis (3) [F]
APSTA-GE 2012: Causal Inference (3) (pre-req or co-req: GPH-GU 2354 Regression II)*
GPH-GU 2233: Data, AI, and the People's Health (3) [F]
CS-GY 6953: Deep Learning (3) - (same course as ECE-GY 7123)****
ECE-GY 7123: Deep Learning (3) - (same course as CS-GY 6953)****
DS-GA 1011: Fundamentals of Natural Language Processing (3)***
GPH-GU 2126: Healthcare Claims Data Analysis (3) [S]
GPH-GU 2480: Longitudinal Analysis of Public Health Data (3) [S]
DS-GA 1003: Machine Learning (3) - (must take GPH-GU 2338 first)*** (requires approval of the Chair)
GPH-GU 2338: Machine Learning in Public Health (3) [S]
APSTA-GE 2013: Missing Data (2)*
APSTA-GE 2094: Modern Approaches in Measurement (3)*
DS-GA 1018: Probabilistic Time Series Analysis (3)***
GPH-GU 2225: Psychometric Measurement & Analysis in Public Health Research & Practice (3) [F, Su]
GPH-GU 2366: Sequential Methods in Clinical Trials (3) [S]
GPH-GU 2512: Special Topics: Applied Spatial Statistics in Public Health (1) [varies]
APSTA-GE 2014: Stats Analysis of Networks (3)*
GPH-GU 3225: Statistical Inference (3) [F]
GPH-GU 2378: Statistical Methods in Genomics and Bioinformatics (3) [F]
PHDSW-GS 3069: Structural Equation Modeling (3)
GPH-GU 2387: Survey Design, Analysis, and Reporting (3) [F]
DS-GA 1015: Text as Data (3)***
GPH-GU 2137: Topics in Dynamic Modeling (3) [F]
BI-GY 7633: Transcriptomics (3)****
The culminating experience for students in the Biostatistics concentration consists of:
a minimum of 180 hours of a practice experience, completed prior to Thesis I, and;
a two-semester MPH thesis.
GPH-GU 2686: Thesis I: Practice and Integrative Learning Experiences (2) [F]
GPH-GU 2687: Thesis II: Practice and Integrative Learning Experiences (2) [S]
职业发展方向
Recent Employment Statistics
The statistics below reflect employment data from the 2022 graduating class.
99% Employed or Continuing Education Within 1 Year of Graduation:
Employed: 86%; Continuing Education: 13% (Class of 2022)
Graduates are employed in a variety of sectors:
Academic: 33%; Nonprofit/NGO: 30%; Health care: 19%; Government: 9%; Other: 9%
Master of Public Health Graduates Work Around the Globe:
Over 3,000 Masters and Doctoral graduates work around the globe in 42 countries.
Many graduates are working outside of the US:
Africa
Asia
Australia
Canada
Caribbean
Europe
India
Mexico
Middle East
New Zealand
Chile
Indonesia
A majority of graduates are working in the US:
California
Connecticut
Florida
Georgia
Illinois
Maryland
Massachusetts
New Jersey
New York
Pennsylvania
Texas
Washing D.C.
Representative Positions
Associate Director, Research Partnerships, The Michael J. Fox Foundation for Parkinson's Disease
Behavioral Scientist, Centers for Disease Control and Prevention
Biostatistician, NYC DOHMH
Chief Operating Officer, Florida Institute for Health Innovation
City Research Scientist, NYC Department of Health and Mental Hygiene
Clinic Coordinator, The Canadian Centre for Refugee and Immigrant Health Care
Clinical Research Project Manager, Palo Alto Veterans Institute for Research
Consultant, Becton, Dickinson & Co.
Data Analyst, NYC Department of Health and Neutral Hygiene
Dietician/Nutritionist, New Mexico Department of Health
Director, Pfizer
Global Research Fellow, International Centre for Trade and Sustainable Development
Health and Benefits Consulting Analyst, Mercer
Health Education Coordinator, Mount Sinai School of Medicine
Health Educator, Harlem Children’s Zone
Infection Control Epidemiologist, Johns Hopkins Medicine
Nutrition Program Manager, Community Healthcare Network
Principal, GE Healthcare Partners
Program Coordinator, Columbia University Medical Center
Program Coordinator, Human Rights Clinic, HealthRight International
Program Manager, Parker Institute for Cancer Immunotherapy
Project Director, HIV Center, New York State Psychiatric Institute
Project Director, Trenton Health Team
Project Manager, NYC DOHMH
Public health specialist, Ministry of Health, Saudi Arabia
Recruitment Manager HIV Research, Children's Aid Society
Research Coordinator, Mount Sinai Medical Center
Senior Director, Global Policy and External Affairs, EMD Serono, Inc.
Senior Director, Mount Sinai
Senior Oncology Pharmacist, Memorial Sloan-Kettering Cancer Center
Senior Research Assistant, University of Ghana
Tuberculosis Controller, Texas Department of State Health Service
