Aug. 20, 2025
Next Start Date
4
Courses Required
12
Total Credit Hours
Online Courses
Learning Format
The Business Data Science Graduate Certificate, offered by the 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. Data science uses scientific methods to extract information from data, unifying statistics with machine learning and information technology to unlock insights otherwise impossible to discover. Analysts fluent in advanced statistical analysis, data mining, and data collection techniques can find the right data to support missions with the right insights, information, and knowledge. If you’re equally interested in applications and the infrastructure and theory underpinning the world of data, this might just be for you.
The Business Data Science Graduate Certificate requires 12 hours of course work taken over the span of one and one-half semesters.
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.
Upon completion of this certificate, students will be able to:
As a graduate of the WVU with a degree in business administration, Kelly understands your needs and is here to support and simplify the enrollment process for you. You can have open and honest discussions with her about how your passion in life can become your career. Contact Kelly today!
Students enrolled in certificate programs are not eligible for financial aid. Visit Student Financial Support & Services for additional information.
The tuition rate per credit hour listed above is for the 2024-2025 academic year. Tuition and fees increase beginning in the fall term of each academic year.
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. Please see the Estimate Costs and Aid webpage for how to estimate and plan for other potential expenses.
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.
The Bureau of Labor Statistics states that the employment of data scientists is projected to grow 36% from 2021-2031, much faster than the average for all occupations, making this a good opportunity to consider.
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.
Certificate Code - CG45
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.
Course | Title | Credit Hours |
---|---|---|
BUDA 515 | Big Data Technologies for Business | 3 |
BUDA 525 | Business Statistical Methods 1 | 3 |
BUDA 530 | Business Statistical Methods 2 | 3 |
BUDA 535 | Business Data Mining | 3 |
Total hours: 12
Students who graduate from WVU Online with the Business Data Science Graduate Certificate may be prepared for the following careers. These are only a few examples of some of the many opportunities that will be open to you with this degree. Advanced degrees or certifications may be required for some positions.
Information about careers on this list comes from the Occupational Information Network (O*NET) of the U.S. Department of Labor/Employment and Training Administration (USDOL/ETA).
Most data scientists are currently employed by industries such as financial services, information technology, healthcare, retail, and media and entertainment. This is expected, as these industries increasingly rely on digital technology and require agile adaptation to remain relevant in changing times.
Most senior roles will require advanced degrees.