MS in Learning Analytics
所属信息
基本信息
项目学分
32 points申请截止日期
-
秋季
-
常规
4/1 -
早申请
1/15
-
其他
-
其他
5/1 【Extended】
申请信息
托福/GRE Code
2905申请费
$65GPA要求
3.00
TOEFL要求
100.00
IELTS要求
7.00
成绩单寄送要求
网申上传/需第三方认证
成绩单邮寄地址
Office of Admission Teachers College, Columbia University, BOX 302 525 West 120th Street New York, NY 10027
推荐信要求
2
文书要求
Broadly speaking, the statement of purpose should address:
- Your objectives for graduate study and how this specific Teachers College program and degree option will enable you to achieve your goals
- Your academic and professional background and how your experiences have led you to apply to Teachers College
two to three pages, typed, and double spaced
文书思路建议
正常SOP，建议写的时候着重描述自己对于教育行业的兴趣以及量化方面能力及相关用数据解决教育相关问题的经历。
- Your objectives for graduate study and how this specific Teachers College program and degree option will enable you to achieve your goals
- Your academic and professional background and how your experiences have led you to apply to Teachers College
two to three pages, typed, and double spaced
文书思路建议
正常SOP，建议写的时候着重描述自己对于教育行业的兴趣以及量化方面能力及相关用数据解决教育相关问题的经历。
Prerequisite
接受不同背景，有学教育的，传媒的，金融的，还有计算机的。不过总体来看，相关的统计背景是硬性标准，不过编程背景有的话是加分项。
成绩认证（海本学生GPA3.0+，国本学生3.3+）
GRE：项目没明确要求需要GRE成绩，但是320+的GRE
成绩认证（海本学生GPA3.0+，国本学生3.3+）
GRE：项目没明确要求需要GRE成绩，但是320+的GRE
申请材料
需要WES
To ensure application review, full course-by-course evaluations must be received by the application deadline.
International applicants must hold, or be in the process of obtaining, the equivalent of a 120-credit U.S. baccalaureate degree.
100 on the TOEFL internet-based test
7.0 on IELTS
GRE OPTIONAL
物料清单：
Transcripts from every post-secondary institution attended
Letters of recommendation
Personal statement
Resumé or Curriculum Vitae
$75 non-refundable application fee
Results of an English language test
To ensure application review, full course-by-course evaluations must be received by the application deadline.
International applicants must hold, or be in the process of obtaining, the equivalent of a 120-credit U.S. baccalaureate degree.
100 on the TOEFL internet-based test
7.0 on IELTS
GRE OPTIONAL
物料清单：
Transcripts from every post-secondary institution attended
Letters of recommendation
Personal statement
Resumé or Curriculum Vitae
$75 non-refundable application fee
Results of an English language test
适宜学生
我们计划中的研究生课程将训练您了解关键的学习分析和教育数据挖掘 (LA/EDM) 方法，并将它们应用于各种学习环境中的现实问题。除了了解对教育数据进行分析所涉及的相关政策、法律和道德问题外，您还将面临使用学习分析方法改善教育的挑战。
特点及课程设置
capstone project + STEM项目
The program includes face-to-face and online components and opportunities for individual instruction and advice.
课程设置：
Required Program Core Courses: (minimum of 5 courses for 15 points/credits)
HUDK 4050: Core Methods in Educational Data Mining
HUDK 4051: Learning Analytics: Process and Theory
HUDK 4052: Data, Learning, and Society OR HUDK 4011 Networked and Online Learning
HUDK 4054: Managing Educational Data OR HUDK 4031 Data, Testing, and Meritocracy
HUDK 5053: Feature Engineering Studio OR HUDK 5324 Research Work Practicum
Additional Courses in Learning (HUDK): (minimum of 3 courses for 9 points/credits)
Three courses with the HUDK prefix selected in consultation with your advisor.
Courses in Statistics (minimum of 2 courses for 6 points/credits) Also satisfies the College Breadth Requirement
HUDM 4122 Probability and statistical inference OR HUDM 4125 Statistical inference
HUDM 5122 Applied regression analysis
Students with prior coursework in statistics may place out of one or more statistics courses and consider these additional options:
HUDM 5026 Introduction to data analysis in R
HUDM 5123 Linear models and experimental design
HUDM 5124 Multidimensional scaling and clustering
HUDM 5133 Causal inference for program evaluation
HUDM 5199 Programming for data science
Electives (2 points)
Other courses at Teachers College that are related to the program
Capstone Project:
Students will complete an integrative capstone project, involving analytics on real-world educational data to solve a real-world problem or answer a real-world question.
项目是小班授课的形式，1.5年-2年左右读完，课程内容覆盖数据挖掘、学习分析、统计编程、认知科学、心理学和社交在线学习等。
可选哥大主校区的DS算法课、Applied Data Science
职业发展方向
Data analysis represents one of the fastest growing career paths, and employers in the education sector are increasingly looking to hire individuals with the skills to make data-driven decisions. The Master of Science in Learning Analytics prepares researchers and professionals for a range of careers in:
Education technology companies and startups
Educational evaluation
Educational think tanks
Data groups in city, state, and federal departments of education
The program includes face-to-face and online components and opportunities for individual instruction and advice.
课程设置：
Required Program Core Courses: (minimum of 5 courses for 15 points/credits)
HUDK 4050: Core Methods in Educational Data Mining
HUDK 4051: Learning Analytics: Process and Theory
HUDK 4052: Data, Learning, and Society OR HUDK 4011 Networked and Online Learning
HUDK 4054: Managing Educational Data OR HUDK 4031 Data, Testing, and Meritocracy
HUDK 5053: Feature Engineering Studio OR HUDK 5324 Research Work Practicum
Additional Courses in Learning (HUDK): (minimum of 3 courses for 9 points/credits)
Three courses with the HUDK prefix selected in consultation with your advisor.
Courses in Statistics (minimum of 2 courses for 6 points/credits) Also satisfies the College Breadth Requirement
HUDM 4122 Probability and statistical inference OR HUDM 4125 Statistical inference
HUDM 5122 Applied regression analysis
Students with prior coursework in statistics may place out of one or more statistics courses and consider these additional options:
HUDM 5026 Introduction to data analysis in R
HUDM 5123 Linear models and experimental design
HUDM 5124 Multidimensional scaling and clustering
HUDM 5133 Causal inference for program evaluation
HUDM 5199 Programming for data science
Electives (2 points)
Other courses at Teachers College that are related to the program
Capstone Project:
Students will complete an integrative capstone project, involving analytics on real-world educational data to solve a real-world problem or answer a real-world question.
项目是小班授课的形式，1.5年-2年左右读完，课程内容覆盖数据挖掘、学习分析、统计编程、认知科学、心理学和社交在线学习等。
可选哥大主校区的DS算法课、Applied Data Science
职业发展方向
Data analysis represents one of the fastest growing career paths, and employers in the education sector are increasingly looking to hire individuals with the skills to make data-driven decisions. The Master of Science in Learning Analytics prepares researchers and professionals for a range of careers in:
Education technology companies and startups
Educational evaluation
Educational think tanks
Data groups in city, state, and federal departments of education
