今天和大家一起来来看看热门的哥伦比亚大学商业分析硕士项目（Master of Science program in Business Analytics）。

项目介绍：

哥伦比亚大学（Columbia University in the City of New York），简称哥大（Columbia），是一所位于美国纽约曼哈顿的世界著名私立研究型大学，于1754年成立， 是美国历史最悠久的五所大学之一。哥大拥有世界一流的法学院、商学院、医学院、新闻学院等，其新闻学院颁发的普利策奖（Pulitzer Prize）是美国新闻界的最高荣誉，并在2018年 US News颁布的美国大学综合排名中与MIT和斯坦福大学并列第5。

Master of Science program in Business Analytics (MSBA)由工业工程与运筹学系（IEOR Department）和商学院（Columbia Business School）联合开办，是哥大商学院和工程学院为了顺应大数据时代发展合办的一个新项目，它的建立凝聚了很多学生、校友及组织的共同努力。该项目强调通过使用数据，统计和定量分析以及解释和预测性建模等方法来建立对业务发展的新见解，促使做出改进公司业务运营与发展的可行性决策。

课程设计：

该项目包括三个学期，秋季入学，次年八月底毕业；可自主选择进行暑期实习，同时毕业时间会顺延至次年秋季。学生需要修满36个学分（即12 three-credit courses）。课程设置灵活且涵盖广泛，其中至少六门课要在IEOR Department修读，4-6门课在商学院修读，此后如果学分还没修满，还可以选择性修读其他院系的相关课程，比如the School of Engineering, the School of International and Public Affairs, the Law School, 或the Departments of Economics、Mathematics and Statistics。

该项目要求申请者拥有工程、数学、计算机科学、统计学、经济学、金融学或其他类似的学历背景和较强的数学背景。先修课方面要学过演算、线性代数、概率论、统计学等课程。该项目对工作经历没有硬性要求，但是大多数被录取的学生都有全职工作或实习经历。该项目对于学生的各项成绩有严格要求：GPA≥3.0，TOEFL≥100。

通过课程中的Analytics Capstone Projects，学生会直接参与客户分析项目，从而积累实践经验，获得竞争优势；通过Professional Development and Leadership (PDL)项目，学生也会提高生活和工作技能。此外，IEOR Career department会为每个学生提供职业咨询和规划等服务；同时针对国际学生在美国面临的独特性挑战，会帮助其尽快适应美国的文化和商业环境；增强面试技巧；拓展社会关系。

Required Core Courses: (18 credits) 必修核心课程

First Fall Core: (12 pts) 秋季学期核心课程

IEOR E4575 Mathematics for Business Analytics (0-credit)

IEOR E4004 Optimization Models and Methods

IEOR E4101 Probability, Statistics and Simulation

IEOR E4501 Tools for Analytics

IEOR E4523 Data Analytics

ENGI E4000 Professional Development Leadership (0-credit)

Spring Core: (6 pts) 春季核心课程

IEOR E4650 Business Analytics

IEOR E4524 Analytics in Practice

Students may complete 1 or 2 concentrations to fulfill the remaining credits for the degree. Students may select courses within other concentrations and the breadth elective list. 选修课程

Select (1) of the following (4) concentrations: 

4个专业方向中选取一个：

1. Financial Analytics & Financial Technology (FinTech): select at least (9 credits) from the following:

DROM B8510 Managerial Negotiations

DROM B8816 Quantitative Pricing and Revenue Analytics

DROM B9122 Computing for Business Research

IEOR E4106 Stochastic Models

IEOR E4500 Applications Programming for Financial Engineering

IEOR E4525 Machine Learning for Financial Engineering & Operations Research

IEOR E4574 Technology Innovation in Financial Services (1.5)

IEOR E4720 Deep Learning

IEOR E4725 Big Data in Finance

MRKT B8649 Pricing Strategies

MRKT B8696 Data Driven Dollars

2. Marketing Analytics: select at least (9 credits) from the following:

DROM B8122 Game-Theoretic Business Strategy

DROM B8123 Demand and Supply Analytics

DROM B8131 Sports Analytics

DROM B8510 Managerial Negotiations

DROM B9122 Computing for Business Research

DROM B9127 Online Marketplaces

IEOR E4407 Game Theoretic Models of Operations

IEOR E4506 Designing Digital Operating Models

IEOR E4577 OR Methods in Marketing (1.5)

IEOR E4601 Dynamic Pricing and Revenue Management

MKTG B8607 Strategic Consumer Insights

MKTG B8617 Marketing Research & Analytics

MKTG B8679 Digital Marketing

MKTG B8683 Marketing Models

MRKT B7676 Developing QI: Responsive Decision Making Through Quantitative Intuition

MRKT B8608 New Product Development

MRKT B8696 Data Driven Dollars

MRKT B9613 Mathematical Models in Marketing

MRKT B9651 Marketing Analytics

3. Healthcare Analytics: select at least (9 credits) from the following:

DROM B8107 Service Operations

DROM B8128 Healthcare Investment and Entrepreneurship HCIT and Services

DROM B8132 Digital Healthcare Startups

DROM B8510 Managerial Negotiations

DROM B8832 US Healthcare System

IEOR E4000 Production and Operations Management

IEOR E4405 Scheduling

IEOR E4520 Applied Systems Engineering

IEOR E4521 Systems Engineering Tools and Methods (OR)

IEOR E4540 Data Mining for Engineers

IEOR E4505 Operations Research in Public Policy

IEOR E4507 Healthcare Operations Management

MRKT B7676 Developing QI: Responsive Decision Making Through Quantitative Intuition

4. Analytics Algorithms and Methodology: select at least (9 credits) from the following:

COMS W4111 Introduction to Databases

CSOR W4231 Analysis of Algorithms

DROM B8111 Analytics for Business Research

DROM B8127 Big Immersion Seminar - Big Data (1.5 pts)

DROM B8130 Applied Statistics and Data Analytics

DROM B8510 Managerial Negotiations

IEOR E4008 Computational Discrete Optimization

IEOR E4525 Machine Learning for Financial Engineering & Operations Research

IEOR E4407 Game Theoretic Models of Operations

IEOR E4418 Transportation Analytics and Logistics

IEOR E4526 Analytics on the Cloud

IEOR E4540 Data Mining for Engineers

MRKT B9160 Applied Multivariate Statistics

MRKT B9608 Experimental Design & Analysis for Behavioral Research

MRKT B9616 Bayesian Modeling & Computation

Admission Requirements

申请材料清单：

Ÿ   Official transcript copies from every post-secondary institution attended

Ÿ   Three recommendation letters

Ÿ   Official Graduate Record Examination (GRE) General Test Scores*

Ÿ   Personal statement

Ÿ   Resumé or Curriculum Vitae

Ÿ   $85 non-refundable application fee

Ÿ   *Applied Physics Doctoral applicants must also submit Official GRE Physics Subject Test Score

申请截止日期：

2月15日