M.A. in Statistics
所属信息
基本信息
项目时长
1.5项目学分
30学费估算
$34,392/semester申请截止日期
-
秋季
-
常规
2025/4/25 -
早申请
2025/1/31
-
其他
-
春季
2024/11/6
申请信息
托福/GRE Code
2162申请费
$110TOEFL要求
100.00
IELTS要求
7.50
成绩单寄送要求
网申上传/需第三方认证
推荐信要求
2 academic perferred (相关领域的职业推荐信可做替代，最多一个替代)
文书要求
All applicants must submit a statement of academic purpose. Please compose a succinct statement of approximately 1,000 words describing your past academic work and preparation related to your intended field of study, your plans for graduate study at Columbia, and your subsequent career objectives. If you intend to leave a graduate program at another university, please explain why you wish to do so. If you are not currently pursuing an academic program, please describe your activities since you were last enrolled in an academic institution. If there has been a break in your educational experience, please include a brief explanation.
文书思路建议
General PS, 除了PS本身的思路设计和体现形式，建议基础学科的potential要在文书当中做出体现。跟普通的PS相比，侧重应该分出来一部分做出一个小型的proposal，链接后续的职业规划，让招生院能看清楚未来的路径和如何和项目一起成功的思路
文书思路建议
General PS, 除了PS本身的思路设计和体现形式，建议基础学科的potential要在文书当中做出体现。跟普通的PS相比，侧重应该分出来一部分做出一个小型的proposal，链接后续的职业规划，让招生院能看清楚未来的路径和如何和项目一起成功的思路
Prerequisite
基础专业
前置课要求：one semester of linear algebra with an in-depth coverage of relevant topics including matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, canonical forms and their applications, and advanced calculus.
统计和应用统计是加分项，编程语言是加分项
前置课要求：one semester of linear algebra with an in-depth coverage of relevant topics including matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, canonical forms and their applications, and advanced calculus.
统计和应用统计是加分项，编程语言是加分项
申请材料
上传官方成绩单电子版（非官方的可能不行）
录取后，入学需提交官方成绩单（I-I) DDL 10.15-2023
https://apply.gsas.columbia.edu/register/TranscriptInstructions
审核前必要Fall Semester成绩
100 on the TOEFL internet-based test (2162 | 99)
7.5 on IELTS
无语言要求 和 语言Waiver | 对于本科学位在英语国家 （美本为例）无语言要求，可以直接无视语言递交申请，除此以外，对于本科学位不是单英语国家，但是是官方英语教学，需要申请waiver （美硕学位不能豁免语言）；合办校有可能waive
GRE Required | GMAT not accept
没有面试
录取后，入学需提交官方成绩单（I-I) DDL 10.15-2023
https://apply.gsas.columbia.edu/register/TranscriptInstructions
审核前必要Fall Semester成绩
100 on the TOEFL internet-based test (2162 | 99)
7.5 on IELTS
无语言要求 和 语言Waiver | 对于本科学位在英语国家 （美本为例）无语言要求，可以直接无视语言递交申请，除此以外，对于本科学位不是单英语国家，但是是官方英语教学，需要申请waiver （美硕学位不能豁免语言）；合办校有可能waive
GRE Required | GMAT not accept
没有面试
适宜学生
Prepare students for professional positions or doctoral programs in statistics and other quantitative-based fields.
Research potential， 量化能力，统计是基础学科，从观感上职业导向会比较差，但是未来发展的潜力很足，基础扎实。不是傻瓜就业项目，但是上限并不低。项目本身选修课权限非常大，cover 各个领域和院系，就业导向和未来发展方向是自己设计并打拼出来的。
Research potential， 量化能力，统计是基础学科，从观感上职业导向会比较差，但是未来发展的潜力很足，基础扎实。不是傻瓜就业项目，但是上限并不低。项目本身选修课权限非常大，cover 各个领域和院系，就业导向和未来发展方向是自己设计并打拼出来的。
特点及课程设置
STEM - 最多三年 OPT
国际生（F-1）三学期上限完成项目
Capstone - GR5291 Advanced Data Analysis (3 points) – To be taken in the second or last semester
校外实习可算学分 （CPT available) - https://stat.columbia.edu/ma-programs/statistical-fieldwork-gr5399/#anchor-1
对于Columbia本科，可申请本硕连读
不接受申请过程的询问和求爱，强行发送会影响出结果的时间
物料清单：
- Transcripts
- Statement of academic purpose
- Personal statement
- Curriculum vitae or résumé
- Letters of recommendation from academic sources
- GRE scores, if required by the department or program
- Official TOEFL or IELTS scores, for applicants required to fulfill the English Proficiency Requirement
- Sample of scholarly writing, if required by the department or program
- Payment of the application fee
Students must complete:
Three required core courses
One capstone course
Six elective courses (18 credits total): A minimum of 3 courses (9 credits total) from this group must be from the Statistics Department.*
Students must receive a letter grade in all courses needed to count for graduation. Courses taken for Pass/Fail or R credit will not count for graduation.
REQUIRED: THREE CORE COURSES PLUS ONE CAPSTONE COURSE.
REQUIRED: 3 CORE COURSES
GR5203: Probability (3 credits)
GR5204: Inference (3 credits)
GR5205: Linear Regression Models (3 credits)
Most full-time students take these three core classes in the first semester. Most MA Students take the half-semester versions of Probability and Inference.
REQUIRED: CAPSTONE COURSE
GR5291 Advanced Data Analysis (3 credits) – To be taken in the second or last semester.
GR5242 Advanced Machine Learning (3 credits) – GR5241 is the prerequisite for this course*
In addition to the three core courses, one capstone course is required. Students are welcome to take both capstone courses, if desired. In that case, one would count as a capstone, the other as an approved elective.
ELECTIVES
In addition to the four required courses above, students must also complete the equivalent of six (3-credit) approved electives. At least three (3-credit) electives must be selected from the Statistics Department.
In order to count for graduation, an elective must be taken for a letter grade.
Mentored Research (GR 5398) and Statistical Fieldwork (GR 5399) may be combined in order to count toward the 30 credit minimum for graduation:
Faculty Adviser approval is required.
Each course must be taken for a letter grade.
Mentored Research (GR 5398) and Statistical Fieldwork (GR 5399) may be combined for a maximum of 3 credits.
The same course may not be taken twice in one semester.
DATA SCIENCE SEQUENCE
For a thorough grounding in data science that is specifically designed for the students in our Statistics MA Program, it is recommended to take this sequence:
GR5206 Statistical Computing and Introduction to Data Science
It is recommended to take this in the first semester.
This course counts as a statistics elective.
GR5241 Statistical Machine Learning (prerequisite: GR5206) – This counts as a statistics elective.
GR5242 Advanced Machine Learning (prerequisite: GR5241) – This counts as a Capstone Course.
Approved Course in Stat (Research Potential 更强）
STAT GR5206 Statistical Computing and Intro to Data Science
STAT GR5207 Elementary Stochastic Processes
STAT GR5221 Time Series Analysis
STAT GR5222 Nonparametric Statistics
STAT GR5223 Multivariate Stat Inference
STAT GR5224 Bayesian Statistics
STAT GR5231 Survival Analysis
STAT GR5232 Generalized Linear Models
STAT GR5233 Regression and Multi-Level Models
STAT GR5234 Sample Surveys
STAT GR5241 Statistical Machine Learning
STAT GR5242 Advanced Machine Learning
STAT GR5243 Applied Data Science
STAT GR5245 Introduction to TensorFlow with Python (1 pt)
STAT GR5261 Statistical Methods in Finance
STAT GR5262 Stochastic Processes for Finance
STAT GR5263 Stat Inf/Time-Series Modeling
STAT GR5264 Stochastic Processes Applications I
STAT GR5265 Stochastic Methods in Finance
STAT GR5399 Statistical Fieldwork
STAT GR5293* Topics in Modern Statistics
Approved Courses from department:
Computer Science | IEOR | Business School (Finance & Bus Econ) | DS | Math (Include Math Finance)
https://stat.columbia.edu/ma-programs/approved-electives/
Info sheets【class size】
Student Profile 里面的学生多为数统背景，物理化学等数学为基础的理科，计算机，少量的金融经济，可以侧推一下招生的偏好
Alumni Profile 60%以上的毕业生从事 分析师，或者数据科学家，定位企业大多是咨询和金融公司，大约20%左右在做研究工作，博士在读。
职业发展方向
提供 Professional Development课程
参考Infor Sheets 的情况，但是应用领域更宽，结合自己本科的专业背景，可以有很大的空间
例如；保险，银行风控，生物制药，互联网，等等
常规设置：
GSAS Compass (1V1职业咨询）
Additional Media （企业讲座，招聘会剖析得视频，MA学生独享）
ALP – American Language Program （求职沟通技能）
The Columbia College Writing Center （求职，更重要是研究方向得文书帮助）
https://stat.columbia.edu/ma-programs/career-management-resources/#additional-resources
国际生（F-1）三学期上限完成项目
Capstone - GR5291 Advanced Data Analysis (3 points) – To be taken in the second or last semester
校外实习可算学分 （CPT available) - https://stat.columbia.edu/ma-programs/statistical-fieldwork-gr5399/#anchor-1
对于Columbia本科，可申请本硕连读
不接受申请过程的询问和求爱，强行发送会影响出结果的时间
物料清单：
- Transcripts
- Statement of academic purpose
- Personal statement
- Curriculum vitae or résumé
- Letters of recommendation from academic sources
- GRE scores, if required by the department or program
- Official TOEFL or IELTS scores, for applicants required to fulfill the English Proficiency Requirement
- Sample of scholarly writing, if required by the department or program
- Payment of the application fee
Students must complete:
Three required core courses
One capstone course
Six elective courses (18 credits total): A minimum of 3 courses (9 credits total) from this group must be from the Statistics Department.*
Students must receive a letter grade in all courses needed to count for graduation. Courses taken for Pass/Fail or R credit will not count for graduation.
REQUIRED: THREE CORE COURSES PLUS ONE CAPSTONE COURSE.
REQUIRED: 3 CORE COURSES
GR5203: Probability (3 credits)
GR5204: Inference (3 credits)
GR5205: Linear Regression Models (3 credits)
Most full-time students take these three core classes in the first semester. Most MA Students take the half-semester versions of Probability and Inference.
REQUIRED: CAPSTONE COURSE
GR5291 Advanced Data Analysis (3 credits) – To be taken in the second or last semester.
GR5242 Advanced Machine Learning (3 credits) – GR5241 is the prerequisite for this course*
In addition to the three core courses, one capstone course is required. Students are welcome to take both capstone courses, if desired. In that case, one would count as a capstone, the other as an approved elective.
ELECTIVES
In addition to the four required courses above, students must also complete the equivalent of six (3-credit) approved electives. At least three (3-credit) electives must be selected from the Statistics Department.
In order to count for graduation, an elective must be taken for a letter grade.
Mentored Research (GR 5398) and Statistical Fieldwork (GR 5399) may be combined in order to count toward the 30 credit minimum for graduation:
Faculty Adviser approval is required.
Each course must be taken for a letter grade.
Mentored Research (GR 5398) and Statistical Fieldwork (GR 5399) may be combined for a maximum of 3 credits.
The same course may not be taken twice in one semester.
DATA SCIENCE SEQUENCE
For a thorough grounding in data science that is specifically designed for the students in our Statistics MA Program, it is recommended to take this sequence:
GR5206 Statistical Computing and Introduction to Data Science
It is recommended to take this in the first semester.
This course counts as a statistics elective.
GR5241 Statistical Machine Learning (prerequisite: GR5206) – This counts as a statistics elective.
GR5242 Advanced Machine Learning (prerequisite: GR5241) – This counts as a Capstone Course.
Approved Course in Stat (Research Potential 更强）
STAT GR5206 Statistical Computing and Intro to Data Science
STAT GR5207 Elementary Stochastic Processes
STAT GR5221 Time Series Analysis
STAT GR5222 Nonparametric Statistics
STAT GR5223 Multivariate Stat Inference
STAT GR5224 Bayesian Statistics
STAT GR5231 Survival Analysis
STAT GR5232 Generalized Linear Models
STAT GR5233 Regression and Multi-Level Models
STAT GR5234 Sample Surveys
STAT GR5241 Statistical Machine Learning
STAT GR5242 Advanced Machine Learning
STAT GR5243 Applied Data Science
STAT GR5245 Introduction to TensorFlow with Python (1 pt)
STAT GR5261 Statistical Methods in Finance
STAT GR5262 Stochastic Processes for Finance
STAT GR5263 Stat Inf/Time-Series Modeling
STAT GR5264 Stochastic Processes Applications I
STAT GR5265 Stochastic Methods in Finance
STAT GR5399 Statistical Fieldwork
STAT GR5293* Topics in Modern Statistics
Approved Courses from department:
Computer Science | IEOR | Business School (Finance & Bus Econ) | DS | Math (Include Math Finance)
https://stat.columbia.edu/ma-programs/approved-electives/
Info sheets【class size】
Student Profile 里面的学生多为数统背景，物理化学等数学为基础的理科，计算机，少量的金融经济，可以侧推一下招生的偏好
Alumni Profile 60%以上的毕业生从事 分析师，或者数据科学家，定位企业大多是咨询和金融公司，大约20%左右在做研究工作，博士在读。
职业发展方向
提供 Professional Development课程
参考Infor Sheets 的情况，但是应用领域更宽，结合自己本科的专业背景，可以有很大的空间
例如；保险，银行风控，生物制药，互联网，等等
常规设置：
GSAS Compass (1V1职业咨询）
Additional Media （企业讲座，招聘会剖析得视频，MA学生独享）
ALP – American Language Program （求职沟通技能）
The Columbia College Writing Center （求职，更重要是研究方向得文书帮助）
https://stat.columbia.edu/ma-programs/career-management-resources/#additional-resources
