Master of Science in Health Data Science
所属信息
基本信息
项目时长
20 months项目学分
48 credits申请截止日期
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秋季
-
常规
12/1 (late application may be considered)
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其他
申请信息
成绩单邮寄地址
申请时不需要，录取需要wes
推荐信要求
3(2 academic preferred)
文书要求
- A statement of purpose
- A personal statement
- A personal statement
Prerequisite
没有要求，但有biology、programming背景会更青睐
Master's Programs Prerequisites
RECOMMENDED COURSES
-Advanced calculus or real analysis
-Computing:e.g.R,Python.C++
REQUIRED COURSES
-3 semesters of calculus
-1 semester of linear algebra
-1semester of intro statistics
Students with less preparation in mathematics or statistics may be conditionally admitted.
- Calculus I: functions and graphs, derivatives and their applications to real-life problems in various fields, and an introduction to integration.
- Calculus II: techniques of integration, application of these, and an introduction to sequences and series and to differential equations.
- Calculus III: vectors, vector functions, functions of two and three variables, partial derivatives, optimization (including Lagrange multipliers), multiple integrals, calculus of vector field, line integrals and surface integrals, Green's, Stokes', and divergence theorems.
- Linear Algebra: matrix operations, echelon form, solution of systems of linear equations, Euclidean vector spaces, linear combinations, independence and spans of sets of vectors in Euclidean space, eigenvectors and eigenvalues, similarity theory.
Master's Programs Prerequisites
RECOMMENDED COURSES
-Advanced calculus or real analysis
-Computing:e.g.R,Python.C++
REQUIRED COURSES
-3 semesters of calculus
-1 semester of linear algebra
-1semester of intro statistics
Students with less preparation in mathematics or statistics may be conditionally admitted.
- Calculus I: functions and graphs, derivatives and their applications to real-life problems in various fields, and an introduction to integration.
- Calculus II: techniques of integration, application of these, and an introduction to sequences and series and to differential equations.
- Calculus III: vectors, vector functions, functions of two and three variables, partial derivatives, optimization (including Lagrange multipliers), multiple integrals, calculus of vector field, line integrals and surface integrals, Green's, Stokes', and divergence theorems.
- Linear Algebra: matrix operations, echelon form, solution of systems of linear equations, Euclidean vector spaces, linear combinations, independence and spans of sets of vectors in Euclidean space, eigenvectors and eigenvalues, similarity theory.
申请材料
GRE not required and does not review/ TOEFL
无面试
物料清单：
- online application form
- a non-refundable application fee：all domestic applicants will receive an automatic fee waiver
- three letters of recommendation (submitted online)
- a statement of purpose and a personal statement
- A scanned/electronic copy of the official transcript will be used for initial review by our admissions committee. You will be required to have your official transcript sent to the Rackham Graduate School only if you are recommended for admission.
- International students whose first language is not English must also submit TOEFL scores.
前置课（特别是calculus & linear algebra) 不接受coursera
硕士项目只能申一个，不能同时申biostatistics
无面试
物料清单：
- online application form
- a non-refundable application fee：all domestic applicants will receive an automatic fee waiver
- three letters of recommendation (submitted online)
- a statement of purpose and a personal statement
- A scanned/electronic copy of the official transcript will be used for initial review by our admissions committee. You will be required to have your official transcript sent to the Rackham Graduate School only if you are recommended for admission.
- International students whose first language is not English must also submit TOEFL scores.
前置课（特别是calculus & linear algebra) 不接受coursera
硕士项目只能申一个，不能同时申biostatistics
适宜学生
This program builds on the core of the MS in Biostatistics with emphasis on big data analytics and computing skills.
特点
2023年由生物统计系新推出
课程设置
健康数据科学硕士课程将在四个学期（20 个月）内完成，总共48个学分，其中核心课程为28学分，选修课程为21学分。该项目建立在生物统计学硕士的核心之上，重点学习大数据分析和计算技能，以及数据科学在医疗领域的应用。
Core courses in Health Data Science (27 credit hours)
- BIOS 601 4credits Probability and Distribution Theory Fall, Year 1
- BIOS 602 4credits Biostatistical Inference Winter, Year 1
- BIOS 650 4credits Applied Statistics l: Linear Reqression Fall, Year 1
- BIOS 651 3credits Applied Statistics ll: Generalized Linear Models Winter, Year 1
- BIOS 625 3credits Computing with Big Data Fall, Year 1
- BIOS 626 3credits Machine Learning for Health Sciences Winter, Year 2
- BIOS 620 3credits Introduction to Health Data Science Winter, Year 1
- BIOS 629 3credits Case Studies in Health Big Data Winter, Year 2
Additional Requirements and Electives (21 credits)
Elective options allow students to develop specialized knowledge and skils that will be helpful for sourcingemployment opportunities post-graduation. These courses represent classes that have already been establishedat SPH or other units. Below we outline the elective courses that cover a variety of topics in biostatistics, datascience, computing/programming, and data analytics, Some elective courses form restrictive categories so thatstudents need to take at least one from each category.
- Epidemiology Requirement
- Cognate Requirement
- Elective Biostatistics Courses (at least 1 required)
- Elective Computing/Programing Courses (at least 1 required)
- Open Elective Courses
- Public Health Requirement
- Sample Programs of Study for A Master in Health Data Science
- Financial Support
【Info Sheets】
- 43 faculty
- 259 students in our MS and PhD degree programs
- 128 administrative and research staff
- 15 Postdocs
个人感觉课程难度还是不小的，作业都是weekly，所以基本上一周平均要交五六个作业。项目课程对于R的要求比较高，在平时的课程作业当中，也会比较大量涉及R的使用。如果以前没怎么用过R语言，其实作业做起来还是有点费劲的。
以及数学基础的话，第一个学期必备的数学三件套知识都是要熟练掌握的，虽然我们有一门Biostat 600是补本科数学的，但是根据上这门课的同学的说法，讲起来速度非常快，所以还是对基本的本科数学知识有要求的。
不过我们每周都有study group，会有高年级的学长带我们做题复习知识点，感觉还是挺有帮助的。
【Class Size】
2023：整个biostatistics大概在100人左右，但hds大概在10人左右，基本和bio一起上课，但是会多一些big data 和 machine learning的课程，对于编程水平会更重视。也会有biostatistics选HDS的课。
- $34.9M sponsored research
【Career Resources】
https://sph.umich.edu/careers/
https://docs.google.com/document/d/e/2PACX-1vRPOxmgCZXfSGsKCtYrhcmUCRQwk5vUzxaMmztJb-IR4M-R7CwlFx2HWG9ng5EhMitlcb_l98p_a4Vf/pub
https://sph.umich.edu/careers/employers-alumni.html
职业发展方向
Positions of Recent Graduates
- Academic
- Data Consultant, Permanente Medical Group, San Francisco Bay Area
- Director, Strategy Insights & Analytics, Novartis Pharmaceuticals
- Data Analyst, Flatiron Health
- Research Biostatistician
Data Journalist, New York City
课程设置
健康数据科学硕士课程将在四个学期（20 个月）内完成，总共48个学分，其中核心课程为28学分，选修课程为21学分。该项目建立在生物统计学硕士的核心之上，重点学习大数据分析和计算技能，以及数据科学在医疗领域的应用。
Core courses in Health Data Science (27 credit hours)
- BIOS 601 4credits Probability and Distribution Theory Fall, Year 1
- BIOS 602 4credits Biostatistical Inference Winter, Year 1
- BIOS 650 4credits Applied Statistics l: Linear Reqression Fall, Year 1
- BIOS 651 3credits Applied Statistics ll: Generalized Linear Models Winter, Year 1
- BIOS 625 3credits Computing with Big Data Fall, Year 1
- BIOS 626 3credits Machine Learning for Health Sciences Winter, Year 2
- BIOS 620 3credits Introduction to Health Data Science Winter, Year 1
- BIOS 629 3credits Case Studies in Health Big Data Winter, Year 2
Additional Requirements and Electives (21 credits)
Elective options allow students to develop specialized knowledge and skils that will be helpful for sourcingemployment opportunities post-graduation. These courses represent classes that have already been establishedat SPH or other units. Below we outline the elective courses that cover a variety of topics in biostatistics, datascience, computing/programming, and data analytics, Some elective courses form restrictive categories so thatstudents need to take at least one from each category.
- Epidemiology Requirement
- Cognate Requirement
- Elective Biostatistics Courses (at least 1 required)
- Elective Computing/Programing Courses (at least 1 required)
- Open Elective Courses
- Public Health Requirement
- Sample Programs of Study for A Master in Health Data Science
- Financial Support
【Info Sheets】
- 43 faculty
- 259 students in our MS and PhD degree programs
- 128 administrative and research staff
- 15 Postdocs
个人感觉课程难度还是不小的，作业都是weekly，所以基本上一周平均要交五六个作业。项目课程对于R的要求比较高，在平时的课程作业当中，也会比较大量涉及R的使用。如果以前没怎么用过R语言，其实作业做起来还是有点费劲的。
以及数学基础的话，第一个学期必备的数学三件套知识都是要熟练掌握的，虽然我们有一门Biostat 600是补本科数学的，但是根据上这门课的同学的说法，讲起来速度非常快，所以还是对基本的本科数学知识有要求的。
不过我们每周都有study group，会有高年级的学长带我们做题复习知识点，感觉还是挺有帮助的。
【Class Size】
2023：整个biostatistics大概在100人左右，但hds大概在10人左右，基本和bio一起上课，但是会多一些big data 和 machine learning的课程，对于编程水平会更重视。也会有biostatistics选HDS的课。
- $34.9M sponsored research
【Career Resources】
https://sph.umich.edu/careers/
https://docs.google.com/document/d/e/2PACX-1vRPOxmgCZXfSGsKCtYrhcmUCRQwk5vUzxaMmztJb-IR4M-R7CwlFx2HWG9ng5EhMitlcb_l98p_a4Vf/pub
https://sph.umich.edu/careers/employers-alumni.html
职业发展方向
Positions of Recent Graduates
- Academic
- Data Consultant, Permanente Medical Group, San Francisco Bay Area
- Director, Strategy Insights & Analytics, Novartis Pharmaceuticals
- Data Analyst, Flatiron Health
- Research Biostatistician
Data Journalist, New York City
