Business Subjects
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Name | Title | Credits | School |
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BUSI 100 | School of Management Orientation | 0 | School of Management |
Three hour School of Management orientation to be completed as part of the professional enrichment requirement during student's first semester enrolled in the Bachelor of Science in Business Administration academic program. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 0-0-0 |
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BUSI 320 | Data Visualization and Interpretation with AI Integration | 3 | School of Management |
This course equips students with the skills to utilize artificial intelligence to enhance data visualization and interpretation capabilities. The course focuses on leveraging AI to automate the generation of insights, utilize natural language processing for intuitive data exploration, and effectively visualize high-dimensional data. Students will learn to communicate complex data-driven insights clearly and effectively, facilitating strategic decision-making in various business contexts. Prerequisite Course(s): Prerequisites: CSCI 202 or Chair Permission Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 405 | Business Research and Innovation | 3 | School of Management |
Student innovation and business research are conducted for the purpose of developing a potential value-adding incremental change in a product, process, or service to facilitate potential independent or corporate venturing initiatives. Outcomes include integration of core functional areas into a business plan. Prerequisite Course(s): Prerequisite: Take ACCT 110 and FINC 201 and one course in Group 1 (LLAW 101 or LLAW 110) and Group 2 (MIST 300 or MIST 315). Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 420 | Business Intelligence and AI for Decision-Making | 3 | School of Management |
This course explores the integration of artificial intelligence (AI) with traditional business intelligence (BI) techniques to enhance strategic decision-making capabilities. Students will learn to use AI-powered tools for data mining across domains and to analyze and predict business outcomes such as sales, market trends, customer behavior, and employee engagement. Prerequisite Course(s): Prerequisites: CSCI 202 or Chair Permission Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 421 | Optimization and Process Analytics | 3 | School of Management |
This course introduces students to the principles of optimization and process analytics with a focus on their practical applications. Students will learn to leverage AI to develop, refine, and solve optimization models more effectively. The course emphasizes the integration of AI capabilities with traditional optimization methods to enhance decision-making processes across various business domains. Prerequisite Course(s): Prerequisites: CSCI 202 or Chair Permission Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 435 | Business Policy and Strategy Capstone | 3 | School of Management |
This capstone, senior-year course, integrates knowledge and skills in the various functional areas of business for corporate and business strategy development. Student teams will develop a corporate mission, goals and objectives, and implement business policy by managing a complete value chain for a company; deploying marketing, operational and financial strategies and policies in a simulated competitive environment so as to achieve sustainable growth and productivity. Case studies and a computer-based management game will be employed. Prerequisite Course(s): Co-requisite: BUSI 495 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 450 | Business Analytics | 3 | School of Management |
This course discusses applications of business analytics to strengthening decision-making ability in different business areas such as marketing, finance, operations, and strategic planning. This course provides students with an understanding of the emerging role of analytics in business disciplines. It shows how to use analytics tools in a spreadsheet environment to effectively utilize and interpret analytic models and results for better decisions making. Prerequisite Course(s): Prerequisites: MRKT 102, FINC 201, QANT 300 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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BUSI 495 | Career Building Platform | 0 | School of Management |
This course attends to student career building, professionalism and workforce readiness through Professional Enrichment, Experiential Education, and Community Impact activities during the student's tenure in the School of Management. Senior standing. Prerequisite Course(s): Co-requisite: BUSI 435 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 0-0-0 |