Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Courses
Major
Data Analytics | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
About Program

Program Overview


Graduate Certificate in Business Analytics (STEM)

Overview

The master of science in business analytics degree program offers a stand-alone graduate certificate in business analytics. The graduate certificate is available to current School of Business and GW graduate students as well as interested professionals who are not currently enrolled at the University. The credits earned for this certificate can be counted toward the MS degree up to three years after completion of the certificate.


This is a STEM designated program.


Admissions

  • Admission deadline:
    • Fall and Summer
    • Round 1: 1/15
    • Round 2: 4/1
    • Round 3: 5/15
  • Standardized test scores: Either the Graduate Admissions Management Test (GMAT) or the Graduate Records Exam (GRE) is required.
  • Recommendations required: Two (2) recommendations
  • Prior academic records: Transcripts are required from all colleges and universities attended, whether or not credit was earned, the program was completed, or the credit appears as transfer credit on another transcript.
  • Statement of purpose: In no more than 500 words, describe how the Master of Science in Business Analytics program fits into your professional life and career objectives.
  • Additional requirements: A current resumé is required.
  • International applicants only:
    • Academic IETLS: an overall band score of 7.0 with no individual band score below 6.0
    • TOEFL: 600 on paper-based, or 100 on Internet-based
    • Academic PTE: 68

Requirements

The following requirements must be fulfilled: 12 credits, including 9 credits in required courses and 3 credits in elective courses.


  • Required courses:
    • DNSC 6302: Programming for Analytics I
    • DNSC 6303: Programming for Analytics
    • DNSC 6311: Stochastic Foundation: Probability Models
    • DNSC 6312: Statistics for Analytics I
    • DNSC 6314: Machine Learning I
    • DNSC 6315: Machine Learning II
  • Electives:
    • A minimum of 3 credits in elective courses selected from the following:
      • DNSC 6209: Forecasting for Analytics
      • DNSC 6280: Supply Chain Analytics
      • DNSC 6320: Pricing and Revenue Management
      • DNSC 6321: Social Network Analytics
      • DNSC 6323: Visualization for Analytics
      • DNSC 6325: Business Process Simulation
      • DNSC 6327: Sports Analytics
      • DNSC 6330: Responsible Machine Learning

*DNSC 6302 and DNSC 6311 can be waived by examination. If a waiver is granted, the total number of credits required for the certificate is not reduced; the number of credits from the waived course(s) must be made up by taking additional elective courses.


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