Quantitative Business Analysis (QBA) Courses

QBA 180 Intro to Prompt Eng. & AI (3) This course introduces undergraduate students from all majors to the foundations of Artificial Intelligence (AI), Large Language Models (LLMs), and Prompt Engineering. Students will explore AI tools such as ChatGPT, Gemini, and multimodal platforms that generate text, images, audio, and video. With a focus on hands-on learning and no coding required, students will practice designing effective prompts, explore real-world datasets, and create AI-assisted projects in their own fields (art, history, business, engineering, etc.). The course emphasizes critical thinking and ethical reflection alongside practical skills. The semester culminates in a discipline-specific AI project where students apply AI tools to produce an analysis, artifact, or creative work supported by a written report. (Same as DATA 180 and CS 180) (Attributes: GCC, GQ)

QBA 200 Intro to Business Analytics (3) An introduction to quantitative modeling and data-driven decision-making used in Business Analytics. Includes the basic concepts and mathematical tools to understand the role of quantitative analytics in organizations; applications of analysis tools and interpretations of model outputs for effective communication. (Same as DATA 200) (Attributes: GQ)

QBA 260 Business Statistics (3) Application of statistics to business. Includes an introduction to probability and sampling; descriptive statistics, inference, regression and one-way analysis of variance. Pre: One MATH course numbered 125 or higher (may be taken concurrently). (Attributes: GQ)

QBA 300 Operations Management (3) This course is intended to provide students with an understanding of the principles of operations management. Topics covered include productivity, project management, forecasting, managing quality, human resource work studies, capacity planning, location and layout planning, supply-chain, inventory management, optimization, queuing, and simulation. Pre: C or better in QBA 260 or MATH 115.

QBA 362 Business Analytics (3) Fundamentals of Business Analytics. This course aims to teach students to analyze, formulate, and solve managerial decision-making problems using quantitative models and techniques. Pre: C or better in QBA 200 or QBA 260. (Same as DATA 362)

QBA 365 Managing Electronic Commerce (3) Topics in advanced electronic commerce (EC) management. Issues include: defining EC in its various forms; exploring EC strategies; economics of EC; global EC issues. The class will complete a semester-long hands-on-project requiring students to: assess a business' needs and opportunities; plan a Web site corresponding to the needs assessment; design a fully functional and interactive commercial Web site; plan and implement administrative parameters and functions for customer service, security, site monitoring, site maintenance, business performance, and site effectiveness. Pre: MGT 341, QBA 362, or consent of instructor.

QBA 367 AI-Driven Business Analytics (3) Introduces AI-driven business analytics for decision-making. Covers AI-assisted data acquisition, exploratory analysis, predictive and prescriptive modeling, with emphasis on oversight, ethics, and effective communication. Pre: C or better in one of QBA 180, QBA 260, QBA 300, QBA 362, DATA/MATH 271 or MATH 115. (Same as DATA 367)

QBA 465 NLP and GenAI in Business (3) Hands-on NLP and generative AI for business: classical NLP, LLMs, prompt engineering, agents, and governance. Pre: C or better in one of QBA 180, QBA 260, QBA 300, QBA 362, DATA/MATH 271 or MATH 115. (Same as DATA 465)

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QBA x94 Special Topics in Subject Matter (Arr.) Special topics chosen by the instructor. Course content will vary. May be repeated for credit, provided that a different topic is studied. Additional requirements may apply depending on subject and topic.

QBA x99 Directed Studies (Arr.) Statement of planned reading or research required. Pre: instructor’s consent.