The Master of Science in Business Data Analytics offered by the John Chambers College of Business and Economics is located at the intersection of prescriptive analytics and data science for business. Prescriptive analytics uses techniques from operations research, operations management and global supply chain to help businesses achieve better decisions. Data science for business entails the use of data management technologies, data mining, machine learning and visualization techniques to help organizations better use the large-scale data they collect to optimize business outcomes. You will be qualified to answer the industry’s demand for a skilled pool of graduates who can apply data science to solve business challenges.
Invest in Your Future
The Business Data Analytics (BUDA) program at the John Chambers College of Business and Economics is located at the intersection of prescriptive analytics and data science for business. Prescriptive analytics uses techniques from operations research, operations management, and global supply chain to help businesses achieve better outcomes. Data science for business entails the use of data management technologies, data mining, machine learning, and visualization techniques to help organizations better use the large-scale data they collect to optimize business outcomes. Additionally, the curriculum lends itself to large-scale data set analysis for problems such as sports management, healthcare research, or the investigation of solutions for societal issues.
Students will have the knowledge and skills to demonstrate expertise in:
You will apply data analytics to decision-making in organizations, improving performance metrics and measurement, risk indicators, assessment, and response and compliance.
BUDA graduate students will use business analytics to:
All BUDA students work on experiential learning projects with companies and clients and present their results in their capstone project.
The mission of our program is to enhance a student’s ability to use analytics and data science techniques to support informed business decisions and increase organizational value.
The program offers full-time and part-time plans of study that are typically completed in 3-5 semesters. Our graduate advisors are here to help guide you through the graduate school experience and will be the ones you turn to for questions about your plan of study, course registration, or any other assistance you need.
Attend a Virtual Information Session
Thank you for your interest in the Business Data Analytics M.S. program at West Virginia University! Attend a Virtual Information Session and learn more about the Business Data Analytics M.S. program.
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!
Successful completion of a bachelor's degree from a regionally accredited institution.
Applicants must be admitted to WVU as a graduate student.
The above-mentioned items are required for admission review. Additional documents may be requested after initial evaluation of a student’s admission application.
Learn more about student and faculty experiences in the Business Data Analytics M.S. program.
"Not once did I feel alone, isolated, or like I could not ask for help. If anything, I felt even more connected."
Financial aid is available. Students are encouraged to file the Free Application for Federal Student Aid (FAFSA) form to determine their eligibility for federal and state funds as well as scholarships. WVU’s FAFSA Code is 003827.
Business Data Analytics M.S. total degree cost: $28,950 – Residents and Non-Residents
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.
|BUDA 510||Foundations of Business Intelligence||3|
|BUDA 515||Ethics and Data Collection||3|
|BUDA 520||Data Management||3|
|BUDA 525||Business Statistical Methods 1||3|
|BUDA 530||Business Statistical Methods 2||3|
|BUDA 535||Business Data Mining||3|
|BUDA 540||Decision Sciences and Analytics||3|
|BUDA 545||Business Simulation Modeling||3|
|BUDA 550||Business Data Visualization||3|
|BUDA 555||Business Analytics Practicum||3|
Total Hours: 30
M.S. Business Data Analytics graduates will understand emerging technology trends in the job market and be well-positioned, by way of their strong technology and analytical and quantitative skills, for career and lifelong success. Data analytics is a rapidly emerging segment in business and industry, and all indications are that it represents one of the fastest growing job markets and has a sustainable future. This program seeks to provide students with the knowledge, skills, and tools to successfully compete for a variety of positions in the emerging job market.
The educational goals and objectives of the M.S. in Business Data Analytics are as follows:
According to the Bureau of Labor Statistics the employment of data scientists is projected to grow 36% from 2021-2031, much faster than the average for all occupations.
According to Indeed.com, some of the careers this degree will prepare you for include: operations and market research, financial analyst, consultant, programmer, computer systems analyst, business analyst, statistician, data scientist, data architect, and quantitative analyst.
The M.S. program is designed for working professionals with one- and two-year plans of study, and many find they can apply the concepts learned to their work before graduation.
The program is AACSB accredited, which includes rigorous reviews of a schools mission, faculty qualifications, curricula, and ability to provide the highest-quality programs.
Some employed individuals find it challenging to pursue a master's degree through a traditional on-campus program due to the time required. Commuting back and forth to attend hour-long lectures on campus during the week can complicate the already demanding juggling act of work and family responsibilities.
If you can relate to this situation, exploring the possibility of obtaining an online graduate degree could be a viable alternative. However, it's important to note that not all online degrees are created equal. Conduct thorough research on the requirements of an online degree and assess how much flexibility you require in terms of lectures, readings, and coursework.