热门专业解读：杜克大学商业分析项目-新东方前途出国

· Over five terms you can complete up to 19 courses and a Capstone Project. Each term, required courses cover topics in data, statistics, and analytics as well as business context, critical thinking, communication, and collaboration. Starting in Term 2, you will also take at least one course per term in your functional track, as well as optional electives from the other tracks. 

You'll apply for a functional track in either Finance, Marketing, Forensics, or Strategy as part of the admissions process. Each class generally meets twice a week for 2 hours and 15 minutes. Here is a representative class schedule:

TERM 1 (6 WEEKS)

· Business Fundamentals

· Applied Probability & Statistics

· Business Communications 1

· Data Infrastructure

TERM 2 (6 WEEKS)

· Data Science for Business

· Critical Thinking, Communication, and Collaboration

· Optional Elective

Plus:

Finance Track

· Introductory Finance

Marketing Track

· Digital Marketing

Strategy Track

· Empirical Economic Analysis

Forensics Track

· Financial Reporting Foundations

TERM 3 (6 WEEKS)

· Data Visualization

· Navigating Organizations

· Optional Elective (except for Finance Track)

Plus:

Finance Track

· Intermediate Finance

· Derivatives

Marketing Track

· Pricing

Strategy Track

· Operations Analytics

Forensics Track

· Financial Statement Fraud

TERM 4  (6 WEEKS)

· Decision Analytics and Modeling

· Ethical & Legal Issues of Data Analytics

· Optional Elective

Plus:

Finance Track

· Fixed Income Securities

Marketing Track

· Customer Relationship Management

Strategy Track

· Strategic Management

Forensics Track

· Managing Operational and Informational Risks

TERM 5 (6 WEEKS)

· Business Communications 2

· Capstone Project

· Optional Elective

Plus:

Finance Track

· Financial Risk Management

Marketing Track

· Market Intelligence

Strategy Track

· People Analytics

Forensics Track

· Fraud Analytics

以上就是官网安排的每学期课程，供同学们参考。

可以看到这些不同的track下都有四门必修课和四门选修课，选修课的自由度不是很高的，另外这个项目中的课程内容并不是有很技术方向，平时并不能和MBA的同学一起上课，所以对于那些想要学习技术方向课程的同学来说，这个项目或许并没有那么适合。这个项目更看重的是对学生软性技能的培养与提升，更偏重于分析及应变能力提升。

· You must have earned, or expect to earn, a bachelor's degree in science, technology, engineering, mathematics, business, economics, or an equivalent quantitative major by the start of the program.  Your degree must be from an accredited college or university.

· If you have more than 3 years of post-graduate work experience, either paid or unpaid, including volunteer positions, part-time work, and internships please contact Grady Arnao, our MQM: Business Analytics Admissions counselor, to review your eligibility.

Personal information needed:

· Educational background

· Transcripts

· Employment history

· Resume

· Activities and achievements

· Self-reported test scores

· Essays

Application basics:

· You’ll need to create a user ID and password to access the system.

· You may access the application as many times as you like before submitting it.

· Detailed application instructions are available in the online system.

· Your application will not be evaluated until you submit it and all supporting materials are received and verified.

· You may only apply to one admissions round in a given application year.

这个项目是有先修课要求的，在申请中会比较看重学生的数理背景，所以相应在申请准备中可以适当多修一些软件课程及数学统计课程为自己增添一份几率。尽可能多掌握Excel、R、python等软件基础，并尽可能进行一定实践提升运用能力为自己加分。杜克大学看重的是申请学生的多样性，一定要重视自己本科期间经历的积累，这样才能在众多的申请学生中脱颖而出。杜克大学也比较看重实习经历，准备过程中也可参与一些偏向于数据分析的知名企业的实习，如大型的互联网科技公司，或金融大数据相关，包含市场分析、客户分析和精准营销相关的实习内容也是比较对口的。