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商业与经济

商业分析

 学校:  

华盛顿大学圣路易斯分校

   硕士生项目

MS in Business Analytics

学年学制

39 credits

学年学费

$29,900

奖学政策

暂无

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

What does it take to be admitted to Olin's Master of Science in Business Analytics program?

We review each applicant on a number of factors, looking for individuals with strong academic, professional, and extracurricular activities. We base our selections on your past performance, quantitative skills, and communication skills. To ensure diversity in each entering class, we admit students with various backgrounds, experiences, talents, and interests.

You must have completed an undergraduate degree from an accredited institution, comparable to Washington University's four-year bachelor's degree, at the time of enrollment in the program. Note: most international three-year degrees meet this requirement.


Applicants to the Master of Science in Business Analytics program are required to have taken Calculus I and II and Statistics.

申请材料清单

Our Admissions Committee accepts unofficial copies of transcripts and test scores for the sole purpose of rendering an admissions decision.

Transcripts

Applicants must hold the equivalent of a U.S. bachelor's degree to be eligible for the program. (Note: Most international three-year degrees meet this requirement.)

Be sure your transcripts include all coursework taken and the grades received for each course, as well as any transcript instructions or descriptions provided by the institution. Transcripts for study abroad programs or transfer credits are not required if the course titles, grades and credit hours are included on the transcript of the degree-granting institution. International students must submit transcripts in the original language and English translation.

Standardized Tests

We require either a GMAT or GRE score report. We don't have a preference of one test over the other.

Test scores must be released when you submit your application.

TOEFL or IELTS (Academic Format) 

All international applicants (non-U.S. citizens or non-U.S. permanent residents) whose native language is not English must take either the TOEFL or IELTS. Only scores from tests taken within two years of the program start will be accepted. The TOEFL institution code for Washington University in St. Louis is listed in the chart below.

You may qualify for a waiver of this requirement if you have taken a minimum of three years of coursework at a college or university where the primary medium of instruction is English and you received your degree from this institution.

If you are eligible for a waiver, do not submit your TOEFL or IELTS score.

Application Interview Video (for International Applicants only)

International applicants applying to Specialized Masters Programs must submit a video interview as part of the application process. Once you enter your citizenship information in the "personal data" section on the application, a unique URL link will be sent to your email address, within two to four hours, with instructions outlining the video submission process.

Application Fee

The application fee is $100, and payment can be made with a credit card.
Financial documents or information pertaining to the I-20 should not be sent unless you are admitted to the program. Specific guidelines regarding I-20 processing will be sent upon admission.

截止申请时间:

3-Doc,30-Nov,1-Feb,10-Apr

专业介绍

Customer Analytics • this track has STEM (Science, Technology, Engineering and Mathematics) designation. 

Three new tracks available in 2018 •Healthcare Analytics, Supply Chain Analytics, and Financial Technology Analytics–details coming soon.

Premier partnership with IBM • as well as faculty from WashU’s schools of Engineering & Applied Science and Arts & Sciences, ensures curricula for big data and analytics merge both business and IT disciplines, giving you the mix of technical and problem-solving skills highly desired in the marketplace.

Experiential Learning •Intensive industry projects guided by faculty give you hands-on practical experience.

推荐课程

  • MKT 500R: Fundamentals of Statistics and SPSS Programming
  • MKT 500V: R Programming
  • OMM 5705. Quantitative Decision Making
  • MGT 560F Professional Business Communication
  • MGT 560G Database Design and SQL
  • MKT 555A. Data Analysis for Brand Management
  • MKT 555. Analytics-Driven Brand Management
  • MKT 577. Marketing Strategy
  • MKT 571A. Marketing Research
  • MKT 571B. Advanced Marketing Research
  • MKT 500U. Digital Marketing
  • MKT 500T. Customer Analytics Using Probability Models
  • MKT 500S. Predictive Analytics for Business Decision-Making
  • MKT 500Q. Intensive Industry Project
  • MKT 558. Pricing Strategies 
  • MKT 558B. Pricing Decision Making & Implementation 
  • CSE 131. Computer Science 1
  • CSE 247 Data Structures and Algorithms
  • CSE 330S. Rapid Prototype Development and Creative Programming
  • CSE 417T. Introduction to Machine Learning
  • CSE 427S. Cloud Computing with Big Data Applications
  • CSE 502N. Fundamentals of Computer Science
  • CSE 514A. Data Mining
  • CSE 517A. Machine Learning
  • CSE 557A. Information Visualization
  • MEC 537. Data Analysis, Forecasting and Risk Analysis
  • Math 475. Statistical Computation
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