The Department offers 3 Master of Science programs – each is designed for students with varying backgrounds & goals.
80-credit Master of Science in Biostatistics
Provides training in statistical theory and a variety of statistical and computational methods for application in medicine and public health. This program is appropriate for students considering doctoral level work or Master’s level medical research positions upon completion.
60-credit Master of Science in Biostatistics
Designed to prepare students with a quantitative undergraduate degree for applied research positions in universities, hospitals, and industry. This program requires the completion of a thesis in addition to coursework.
42.5-credit Master of Science in Biostatistics
Designed for students with a mathematical and statistical background sufficient to achieve a level of proficiency after one year of study comparable to that obtained in the 80-credit program. Students who have a Master’s degree in one of the mathematical sciences or a doctorate in a quantitative field may be qualified for a one-year SM program.
Eligibility Requirements
All candidates for admission to Master’s programs must have:
1. Successfully completed calculus through multivariable integration and one semester of linear algebra
2. Knowledge of a programming language
All candidates for admission to Master’s programs are encouraged to have:
1. Completed courses in: probability, statistics, advanced calculus or real analysis, and numerical analysis
2. Practical knowledge of a statistical computing package such as SAS, Splus, R, Stata, or SPSS
3. Have completed courses in biology, computational biology, and genetics, if interested in bioinformatics
4. Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases, if interested in bioinformatics
On rare occasions the Department will admit students to our programs without this level of preparation with the understanding that the student will promptly make up any deficiencies, usually by taking additional courses prior to entering the program.
Test Scores:
GRE: The Graduate Record Examination (GRE) is required of all applicants.
TOEFL: The Harvard Chan School requires a minimum of 600 on the paper-based test, 250 on the computer-based test, and 100 on the Internet-based 4-part test (we prefer individual section scores of 23 or better). Official scores from TOEFL may be reported to the School at code number 3456. If you have already started your SOPHAS application, please report your scores to code 5688.
IELTS: The International English Language Testing System (IELTS) will also be accepted with a score of 7.0 or greater. Please have an official score report sent directly to the Harvard Chan School.
序号 | 课程介绍 | Curriculum |
1 | 应用回归分析 | Applied Regression Analysis |
2 | 统计推论基础 | Basics of Statistical Inference |
3 | 应用存活率分析 | Applied Survival Analysis |
4 | 应用纵向分析 | Applied Longitudinal Analysis |
5 | 统计遗传学导论 | Introduction to Statistical Genetics |
6 | 应用贝叶斯分析 | Applied Bayesian Analysis |
7 | 统计推论 | Statistical Inference |
8 | 概率论1 | Probability I |
9 | 生物统计学贝叶斯方法 | Bayesian Methods in Biostatistics |
10 | 高级临床试验专题 | Advanced Topics in Clinical Trials |
11 | 数据结构与算法导论 | Introduction to Data Structures and Algorithms |
12 | 社会与生物网络导论 | Introduction to Social and Biological Networks |
13 | 健康研究的基因组学与生物信息学导论 | Introductory Genomics & Bioinformatics for Health Research |
14 | 基因组数据处理 | Genomic Data Manipulation |
15 | 癌症基因组分析 | Cancer Genome Analysis |