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:
$1,004 / Cost per credit hour *
Courses and Credits:
4 Courses / 12 Credits
Duration:
One year
Dates:
Next Start: August 20, 2025 Admission Term: Fall
Learning Format:
Online courses
Program Overview
Unlock the World of Big Data
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.
The Certificate in Business Data Science requires 12 credit hours, the coursework unifies statistics, machine learning and information technology to make discoveries otherwise out of sight. The methods emphasized in this certificate are capable of discovering hard-to-find trends in large, population-sized data sets.
- 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
Admissions Requirements and Eligibility
Successful Completion of an bachelor's degree from a regionally accredited institution.
Admissions Process and How to Apply
- Complete the WVU Online Graduate Application
- Upload an up-to-date resume.
- Your resume should include enough information for the admissions committee to trace your entire professional work history and should indicate any relevant affiliations.
- Create a Statement of Purpose. Your statement of purpose should be a short, one-page essay which describes:
- Your interest in the program
- Why you wish to pursue the program at WVU
- How the program will help you reach your career goals
- Any additional information which may be necessary to understanding your candidacy.
- Applicants will need to submit college transcripts; an unofficial copy may be uploaded with your application. Upon acceptance, an official transcript must be submitted to finalize acceptance.
- If your school offers “e-script” (an official electronic copy of transcripts), email your official transcripts electronically to: GraduateAdmissions@mail.wvu.edu.
- Or send by mail to: WVU Hub, P.O. Box 6004, Morgantown, WV 26506.
- International applicants should submit electronic transcripts to: InternationalAdmissions@mail.wvu.edu.
- For those using express mail, use the address WVU Hub, 62 Morrill Way - Suite 220, Morgantown, WV 26506
- International Students are required to submit a TOEFL, IELTS, or Duolingo score.
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.
Connect with Our Team
Ann Clayton Online Admissions Coach
(304) 293-0915 ann.clayton@mail.wvu.edu
Explore Profile Schedule Chat
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