Business Data Science Graduate Certificate
John Chambers College of Business and Economics

The Business Data Science Graduate Certificate, offered by the WVU John Chambers College of Business and Economics, focuses on advanced analytical methods and visualizations to help you make the most of your data and communicate your findings. If you’re equally interested in applications and the infrastructure and theory underpinning the world of data, this might just be for you.
Cost:
$1,043 / Cost per credit hour *
Courses and Credits:
4 Courses / 12 Credits
Duration:
One year / 8-week terms
Dates:
Next Start: August 18, 2026 Admission Term: Fall
Learning Format:
Online courses
Program Overview
Unlock the World of Big Data
The Business Data Science Graduate Certificate is a 12-credit program completed over one and a half semesters, designed to equip professionals with the tools to uncover hidden patterns in large datasets. By combining statistics, machine learning, and information technology, students learn to extract meaningful insights that support smarter, data-driven business decisions.
- Integrated Skillset: Learn to organize and securely retrieve data from warehousing systems while applying advanced statistical and machine learning techniques.
- Predictive Power: Use statistical software to perform predictive analytics and clearly communicate results to stakeholders.
- Big Data Expertise: Deploy machine learning to mine large-scale datasets and uncover trends that inform business strategy.
- Cross-Industry Relevance: Apply data science in marketing, finance, HR, operations, and supply chain management to improve performance and decision-making.
- Career-Ready Training: Prepare for growing demand in data science roles as businesses increasingly rely on analytics to stay competitive.
Curriculum
Learning Outcomes
Upon completion of this certificate, students will be able to:- Organize and securely retrieve data from data warehousing infrastructure.
- Perform advanced predictive analytic techniques using statistical software and communicate their results.
- Deploy machine learning for mining big data.
- BUDA 515: Big Data Technologies for Business, 3 credit hours
- BUDA 525: Business Statistical Methods I, 3 credit hours
- BUDA 530: Business Statistical Methods II, 3 credit hours
- BUDA 535: Business Data Mining, 3 credit hours
Connect With Us
Aaron Rose John Chambers College of Business and Economics
304-293-4364 Aaron.Rose1@mail.wvu.edu
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Program Requirements and Eligibility
Successful Completion of an bachelor's degree from a regionally accredited institution.
Admissions Process and How to Apply
- Review the requirements for the program and learn what materials are needed to apply.
- Create an account, start your application and follow the instructions.
- Pay the application fee.
- Submit your application.
Tuition, Fees and Financial Aid
Tuition and fees are usually not the only educational expenses you may have while pursuing a degree. You may have other costs such as books, supplies, and living expenses. Visit the Estimate Costs and Aid webpage to estimate and plan for other potential expenses.
Tuition per credit hour is listed on the page of your program of interest. Please note, tuition and fees are reviewed and subject to change at the start of each academic year.
Careers and Employment
The demand for data scientists is projected to increase due to a growing need for data-driven decision-making. Over the next decade, the amount of available data and its potential applications are expected to rise. Consequently, organizations will likely require more data scientists to extract insights and analyze the vast amounts of information gathered. Through their analyses, data scientists will aid organizations in making informed decisions, enhancing business processes, creating innovative products, and improving marketing strategies.
Business data science is used in various fields, including marketing, finance, human resources, operations, and supply chain management. For example, a company may use data science to optimize their marketing campaigns, identify cost-saving opportunities, and improve customer satisfaction. In essence, business data science helps organizations turn their data into actionable insights, allowing them to make more informed decisions and stay competitive in their respective industries.
Career Paths
- Business Intelligence Analyst
- Data Scientist Projected
- Database Architect
- Management Analyst