Applied AI and Data Analytics, BS
Academics
- Housed in the John Chambers College of Business and Economics, but with 28 free credits and a required minor, students can tailor their experience and outcomes to an industry that best suits them. Double-majoring is possible, especially with the expert-level advising and faculty that the Chambers College is known for.
- This is the most accessible computer-based program designed for first-year freshmen. The highest math required is applied calculus, with no accounting required.
- Graduates join the workforce prepared to build and deploy applied AI models that solve real business problems. From day 1, students learn through hands-on consulting, building predictive systems, and working on real company projects.
- Class sizes stay intentionally small, typically 25 to 40 students, all learning inside Reynolds Hall, the newest campus building, built with advanced labs and collaboration spaces. Every course is taught directly by business school faculty.
- Students graduate with the ability to understand AI systems and clearly communicate their value to business leaders. Rather than training coders alone, this program develops innovators who can prove AI impact in the boardroom.
Database Management Systems
MIST 351
Introduction to database theory, design, implementation, management, and models; development of database applications for management systems.
Artificial Intelligence and Machine Learning for Business
BUDA 460
This course introduces students to important concepts and algorithms at the foundation of modern AI. The main goal is to provide systematic understanding of AI and how to apply AI techniques to real-world business problems. Through hands-on demos and projects, students gain exposure to the theory behind classification, optimization, and other topics in artificial intelligence and machine learning.
Introduction to Applied AI and Data Analytics in Practice
BUDA 468
This course introduces students to the foundational concepts and practices of working with clients in data analytics and applied AI. Topics include understanding client requirements, industry trends, professionalism, project planning, and the initial phases of real-world project management. Students will engage with guest speakers from industry and participate in activities to prepare for the capstone course.
Requirements Analysis and Design of Machine Learning and AI-Based Systems
MIST 460
This course explores the application of Artificial Intelligence (AI) and Machine Learning (ML) in business contexts. Students will assess requirements, design strategies for integrating AI/ML systems into organizational workflows and information systems, develop system designs that align with business objectives, and critically evaluate the ethical and societal implications of AI/ML adoption in business.
DataDrivenWV
DataDrivenWV connects students with organizations to bridge the technical divide in West Virginia communities through service-oriented outreach and community projects. Students can get real hands-on experience, and in most cases, payment, from the first day they step on campus.
Externship Pipeline
WVU Medicine externship pipeline supporting up to 50 students across Cyber, Applied AI, and Tech Infrastructure tracks.
Hands-On Experience
Students will have 2 real, company-based consulting projects plus a required internship, creating internship-ready resume experience before graduation.
Industry Growth
With an estimated 20% growth in the next decade, AI and data analytics are among the fastest-growing job fields according to the U.S. Bureau of Labor Statistics.
Reynolds Hall
Data Analytics Lab
Chambers College Boardroom
People Prove Our Point
Building, Coding and Connecting
Applied AI and Data Analytics freshman already building businesses and meeting industry leaders
Building, Coding and Connecting
Applied AI and Data Analytics freshman already building businesses and meeting industry leaders
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