Graduate Certificate in Business Analytics

The Graduate Certificate in Business Analytics offers foundational courses designed to train professionals in harnessing the power of “Big Data.” At the unique intersection of federal government agencies, Fortune 500 businesses, and advanced tech-savvy companies, GW School of Business is situated in a true epicenter of data analytics. Through descriptive, predictive and prescriptive methodologies, students will learn how to make data-driven decisions that are critical in today’s business and economic environment.

Students must complete all of the required and elective credits from the course options below and are expected to maintain a cumulative grade point average of 3.0 or above. Courses completed as a non-degree student are not eligible for application towards the certificate requirements.


Successful applicants to the graduate certificate in business analytics should have a quantitative background*, including:

  • Statistics
    Applicants should have taken and earned a grade of B or higher in an undergraduate or graduate statistics course in the past five years, and be able to demonstrate regular use of statistics in a current or past professional role or be able to demonstrate in another way an adequate understanding of statistics.
  • Higher Level Mathematics (Calculus and Linear Algebra)
    Applicants need to be able to demonstrate regular use of mathematical principles and methodologies. Applicants should have taken and obtained a grade of B or higher in undergraduate- or graduate-level calculus classes, including Calculus I and Calculus II, and had academic exposure to topics in Linear Algebra and Finite Math.
  • Computer Programming
    Applicants need to be able to understand basic computer programming and software principles and demonstrate the ability to learn Python and R programming.

*Applicants may satisfy the above prerequisites through an online offering such as Coursera.

Required Courses • 9 Credits

Statistics • 3 Credits

  • DNSC 6203: Statistics for Analytics I AND
  • DNSC 6206: Stochastic Foundations

Please note: Students who are accepted into the GCBA certificate program can take an exam to waive DNSC 6203 and DNSC 6206. Exam requirements:

  • Students must possess a strong statistics background
  • Students must complete the exam before the beginning of the semester
  • Students may only attempt the exam once
  • Students must achieve a score of 80% or better

Students who are waived are then required to take an additional three credits in approved GCBA electives (see below). Students are required to earn a grade of B or better in that elective to continue the certificate program.

Additional Required Courses • 6 Credits

  • DNSC 6211 | Programming for Analytics
  • DNSC 6279 | Data Mining

Electives • 3 Credits*

  • DNSC 6209 | Forecasting for Analytics
  • DNSC 6403 | Visualization for Analytics
  • DNSC 6404 | Sports Analytics
  • DNSC 6290 | Special Topics: Digital Analytics
  • DNSC 6290 | Special Topics: Supply Chain Analytics

*The electives listed here represent a small sample of a larger list that may be viewed in the University Bulletin.