MS in Business Analytics
所属信息
所属学校
哥伦比亚大学所属院校
Columbia The Fu Foundation School of Engineering and Applied Science基本信息
项目时长
12 months项目学分
36 credits申请截止日期
-
秋季
-
常规
2/15 -
早申请
1/15
-
其他
申请信息
托福/GRE Code
2111申请费
$85TOEFL要求
99.00
IELTS要求
6.50
成绩单寄送要求
网申上传
成绩单邮寄地址
申请时不需要，录取后需要wes
推荐信要求
3
文书要求
The purpose of the Personal Statement is for you to share more about your past experiences and to discuss how these experiences have contributed to your personal and professional growth. It allows the applicant the opportunity to explain to the admission committee the distinct qualities and commitment they can bring to their department and to the overall Columbia Engineering community.
We recommend that your Personal Statement be between 250 and 1,000 words. Your application will not be negatively impacted should exceed this recommendation. Please do not email us to request permission to exceed this recommendation, no permission is necessary.
If possible, the following format is preferred:
- All margins should be at least one inch, and the left and right margins should be equal.
- Text should be double spaced.
- The preferred fonts are 10-point Arial or 12-point Times New Roman; however, any legible serif or sans-serif standard font may be used. Do not use script or ornamental fonts.
- Your name should appear in the Header or Footer of every page.
It is integral to the admissions process that you write and submit this Personal Statement on your own. Any evidence of plagiarized materials may result in denial or revocation of admission.
A few topics that you may want to address in your Personal Statement include:
- Describe how your background has prepared you to pursue an advanced degree in the field of engineering or applied science at Columbia University.
- Describe the reasons you are interested in this program and discuss any relevant past experience.
- If you have relevant work or research experience, please indicate how it helped you decide on your career path.
- What are your post-graduation plans or career goals?
- What do you hope to gain from this program?
- What about this program excites you?
- If there are any special circumstances that need to be brought to the attention of the Admission Committee, please include that information.
文书思路建议
Business Analytics is a field that focuses on big data and business intelligence, bringing together topics such as Optimization, Programming, & statistics to solve real-world problems. 翻译过来就是：你的文书要体现Optimization, Programming, & statistics 这些quant能力来 solve real-world problems有关，重点是什么样的real-world problem，建议给一个具体一点事例和思考，在XXX领域的XXX问题需要用XXX skills来solve, which motivates me to pursue the MSBA program at Columbia University
1. 实习的统一性：很多同学的实习方向比较多样，大部分都是consulting/PE/IB/ER等领域，如何将business 实习和 analytics联系起来，重要的是建立一个清晰的主线，展示如何在不同领域的实习中自己的思考和link your insights to MSBA
2. 少泛话：尽量不要写空话I establish a good model which is more effective for my data research：From XXX project related to XX领域， 改善/建立 XX模型，通过XXX解决了XX问题，得到了XXX效果，从这个经历中，我学习到了XXX, which motivates me to MSBA
We recommend that your Personal Statement be between 250 and 1,000 words. Your application will not be negatively impacted should exceed this recommendation. Please do not email us to request permission to exceed this recommendation, no permission is necessary.
If possible, the following format is preferred:
- All margins should be at least one inch, and the left and right margins should be equal.
- Text should be double spaced.
- The preferred fonts are 10-point Arial or 12-point Times New Roman; however, any legible serif or sans-serif standard font may be used. Do not use script or ornamental fonts.
- Your name should appear in the Header or Footer of every page.
It is integral to the admissions process that you write and submit this Personal Statement on your own. Any evidence of plagiarized materials may result in denial or revocation of admission.
A few topics that you may want to address in your Personal Statement include:
- Describe how your background has prepared you to pursue an advanced degree in the field of engineering or applied science at Columbia University.
- Describe the reasons you are interested in this program and discuss any relevant past experience.
- If you have relevant work or research experience, please indicate how it helped you decide on your career path.
- What are your post-graduation plans or career goals?
- What do you hope to gain from this program?
- What about this program excites you?
- If there are any special circumstances that need to be brought to the attention of the Admission Committee, please include that information.
文书思路建议
Business Analytics is a field that focuses on big data and business intelligence, bringing together topics such as Optimization, Programming, & statistics to solve real-world problems. 翻译过来就是：你的文书要体现Optimization, Programming, & statistics 这些quant能力来 solve real-world problems有关，重点是什么样的real-world problem，建议给一个具体一点事例和思考，在XXX领域的XXX问题需要用XXX skills来solve, which motivates me to pursue the MSBA program at Columbia University
1. 实习的统一性：很多同学的实习方向比较多样，大部分都是consulting/PE/IB/ER等领域，如何将business 实习和 analytics联系起来，重要的是建立一个清晰的主线，展示如何在不同领域的实习中自己的思考和link your insights to MSBA
2. 少泛话：尽量不要写空话I establish a good model which is more effective for my data research：From XXX project related to XX领域， 改善/建立 XX模型，通过XXX解决了XX问题，得到了XXX效果，从这个经历中，我学习到了XXX, which motivates me to MSBA
Prerequisite
无具体的前置课要求，但基本本科专业对口、数据分析能力强，有相关名企实习和科研经历
计算机能力较强，理工科背景，有编程基础和数模实践经历
计算机能力较强，理工科背景，有编程基础和数模实践经历
申请材料
GRE Optional；TOEFL
面试要求：Video Interview
物料清单：
- Transcripts
- Three recommendation letters
- GRE Test Scores
- School Code: 2111
- Personal statement
- Resumé or Curriculum Vitae
- Publications (optional)
- An interview may be requested
- $85 non-refundable application fee
哥大工学院在一个申请季申请者只能申请一个专业，申请BA则无法同时申请其他工学院下面的专业（如金融工程，数据科学，运筹学等）
很多申ba的同学也会考虑一起申请sps学院下的applied analytics，难度相对低一些。
面试要求：Video Interview
物料清单：
- Transcripts
- Three recommendation letters
- GRE Test Scores
- School Code: 2111
- Personal statement
- Resumé or Curriculum Vitae
- Publications (optional)
- An interview may be requested
- $85 non-refundable application fee
哥大工学院在一个申请季申请者只能申请一个专业，申请BA则无法同时申请其他工学院下面的专业（如金融工程，数据科学，运筹学等）
很多申ba的同学也会考虑一起申请sps学院下的applied analytics，难度相对低一些。
适宜学生
哥伦比亚大学的商业分析硕士(Master of Science in Business Analytics)是由哥伦比亚工程学院和商学院联合创办的全日制硕士学位。MSBA的课程主要涉及建模技术和数据科学工具，以帮助企业利用数据做出更好的决策。该项目十分紧凑，包含了富有挑战性的课程任务和紧密的capstone project。capstone project是哥大BA项目的一个关键元素，学生将利用真实的数据集为客户提供咨询服务，以及他们在现实世界中的商业问题。
特点
12 months， STEM，工商学院合办，有capstone project （和公司合作项目），开学前有bootcamp，第二学期会根据未来求职方向，匹配alumni做mentor，一对一辅导
Track分支：
https://ieor.columbia.edu/msba-curriculum
4个concentrations：
Fintech
Marketing Analytics
Healthcare Analytics
Analytics Algorithms & Methodology
课程设置
工程院+商学院共同教学，工程学院修18个学分 （6门课），商学院12学分（4-6门课），其余课程可从国际和公共事务学院，法学院或艺术与科学研究生院中选修。
Core
￥ Fall (1st Term) -12 credits
Core -12 credits
IEOR E4502Python for Analytics Bootcamp (0-credit)
IEOR E4599 MSBA Quantitative Bootcamp (0-credit)
IEOR E4101 Probability,Statistics and Simulation
IEOR E4523 Data Analytics
IEOR E4650 Business Analytics
MRKT B9651 Marketing Analytics
ENG IE4000 Professional Development Leadership (0-credit)
*Students are expected to be proficient in Python whenstarting the MSBA program.
Note:lEOR E4650 Business Analytics is counted as lEOR credits.
Spring (2nd Term) -12 credits
Core - 6 credits
IEOR E4004 ptimization Models and Methods (required)
IEOR E4524 Analytics in Practice (required)
+2 electives (6 credits) from either the CBS pre-approved list or from lEOR Loading...
The MSBA program requires that students take aminimum of 12 CBS and 18 lEOR credits to graduate andstudents should plan their electives accordingly
Students may satisfy the 12 credits of CBS from our pre.approved list of courses that from other CBS Divisions.Note that only select CBS courses may be available forranking and add/drop each term from Course Match
Summer or Fall (3rd Term)-12 credits
+1Business School Elective (with course code: DROM or MRKT)
+ Remaining Electives
Breadth Electives
Electives are selected under the advisement of thestudent's faculty advisor. Courses taken from the Schoolof Professional Studies will not be counted towards theM.S. degree (i.e. courses with the following prefixes:ACTU, BUSI, COPR, IKNS, SUMA, FUND, and more).
Concentrations
Students may complete 1 or 2 concentrations to fulfill theremaining credits for the degree.
Financial Analytics & FinanciaTechnology (FinTech)
>Marketing Analytics
>Healthcare Analytics
>Analytics Algorithms & Methodology
【Class Size】
40人以上，80人常见
size比较大，中国人也很多
【Career Resources】
https://ieor.columbia.edu/careers-masters-programs
职业发展方向
常见职位包括咨询公司的分析师和助理、金融和专业服务、技术、广告和媒体领域的业务分析师和数据科学家，以及其他需要对数据分析有深入理解和实际应用的职业
https://ieor.columbia.edu/content/2024-msba-placement-statistics
Track分支：
https://ieor.columbia.edu/msba-curriculum
4个concentrations：
Fintech
Marketing Analytics
Healthcare Analytics
Analytics Algorithms & Methodology
课程设置
工程院+商学院共同教学，工程学院修18个学分 （6门课），商学院12学分（4-6门课），其余课程可从国际和公共事务学院，法学院或艺术与科学研究生院中选修。
Core
￥ Fall (1st Term) -12 credits
Core -12 credits
IEOR E4502Python for Analytics Bootcamp (0-credit)
IEOR E4599 MSBA Quantitative Bootcamp (0-credit)
IEOR E4101 Probability,Statistics and Simulation
IEOR E4523 Data Analytics
IEOR E4650 Business Analytics
MRKT B9651 Marketing Analytics
ENG IE4000 Professional Development Leadership (0-credit)
*Students are expected to be proficient in Python whenstarting the MSBA program.
Note:lEOR E4650 Business Analytics is counted as lEOR credits.
Spring (2nd Term) -12 credits
Core - 6 credits
IEOR E4004 ptimization Models and Methods (required)
IEOR E4524 Analytics in Practice (required)
+2 electives (6 credits) from either the CBS pre-approved list or from lEOR Loading...
The MSBA program requires that students take aminimum of 12 CBS and 18 lEOR credits to graduate andstudents should plan their electives accordingly
Students may satisfy the 12 credits of CBS from our pre.approved list of courses that from other CBS Divisions.Note that only select CBS courses may be available forranking and add/drop each term from Course Match
Summer or Fall (3rd Term)-12 credits
+1Business School Elective (with course code: DROM or MRKT)
+ Remaining Electives
Breadth Electives
Electives are selected under the advisement of thestudent's faculty advisor. Courses taken from the Schoolof Professional Studies will not be counted towards theM.S. degree (i.e. courses with the following prefixes:ACTU, BUSI, COPR, IKNS, SUMA, FUND, and more).
Concentrations
Students may complete 1 or 2 concentrations to fulfill theremaining credits for the degree.
Financial Analytics & FinanciaTechnology (FinTech)
>Marketing Analytics
>Healthcare Analytics
>Analytics Algorithms & Methodology
【Class Size】
40人以上，80人常见
size比较大，中国人也很多
【Career Resources】
https://ieor.columbia.edu/careers-masters-programs
职业发展方向
常见职位包括咨询公司的分析师和助理、金融和专业服务、技术、广告和媒体领域的业务分析师和数据科学家，以及其他需要对数据分析有深入理解和实际应用的职业
https://ieor.columbia.edu/content/2024-msba-placement-statistics
