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This program is offered by the George Herbert Walker School of Business and Technology and is available at the St. Louis main campus and San Antonio.

Program Description

Learning Outcomes

By the end of the program, students will be able to:

• Compose query statements to implement the data definition and manipulation.
• Construct multidimensional data cubes analysis.
• Apply effective methods for analyzing, presenting and using informational data.
• Develop meaningful reports and visualization of business data analytics appropriate to a technical and non-technical audience.
• Articulate forecasting and predictive models for real-world analytical applications.

Program Curriculum

The 36 credit hours for the MS in data analytics requires the following courses:

Introductory Courses

Reinforcement Courses

Admission

See the Admission section of this catalog for general admission requirements. Students interested in applying must submit their application online at www.webster.edu/apply.聽Transcripts should be sent from your institution electronically to transcripts@webster.edu.聽If this service is not available, send transcripts to:

Office of Admission
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470 E. Lockwood Ave.
St. Louis, MO 63119聽

Additional Requirements

Requirements for admission to the MS in data analytics program include:

Preliminary Skills and Prerequisite Courses

To ensure adequate preparation in both information technology and business, an applicant to this data analytics program must have basic business knowledge and basic information technology knowledge. The Walker School of Business & Technology accepts individuals who have successfully graduated from undergraduate computer science, information systems, mathematics, business administration, management or similar degree programs and possess the basic business, mathematics and information technology knowledge.

Requirements

• Official transcripts from all of your previously attended colleges and universities (including community colleges and summer courses).
• To be eligible for this program, students must have either:
  • Earned an undergraduate degree in business, management, computer science, statistics, economics, biology (BS), chemistry (BS) or physics (BS).
    
    OR
    
    
  • Completed college-level algebra and statistics, in the last 5 years, with a B or better in both courses.
  • Have work experience that includes business, database and analytics.
• A phone interview or essay may be required.
• It is preferred that students have a business background and strong analytical skills.

Advancement to Candidacy

Students are admitted to their graduate program upon completion of all admission requirements. Students are advanced to candidacy status after successfully completing 12 credit hours with a cumulative GPA of 3.0 or higher. In specialized programs, courses required as prerequisites to the program do not count toward the 12 credit hours required for advancement.