General Business
Courses
BUSN 501 Measuring and Maximizing Financial Performance 3.0 Credits
This course is an introduction to the concepts of financial accounting and financial management. The content of this course includes preparation and analysis of financial statements. Also covered are the time value of money, risk and return, and corporate financing choices.
Repeat Status: Not repeatable for credit
BUSN 5010 Foundations of AI-Powered Business Analytics 2.0 Credits
Business Analytics is an interactive process of analyzing and exploring enterprise data, in order to understand the past, make predictions about the future, and guide decision-making. In this course, students will learn how to use analytics in their decision-making, including AI tools. Analytics through the methodology of problem framing, model building, analysis, and communicating insights are explored.
Repeat Status: Not repeatable for credit
BUSN 502 Essentials of Economics 3.0 Credits
Topics in macroeconomics and microeconomics, including market equilibrium, monetary and fiscal policy, profit maximization, and market future.
Repeat Status: Not repeatable for credit
BUSN 5020 Strategic Management in the Age of AI: Aligning, Adapting, and Advancing 2.0 Credits
Artificial Intelligence (AI) is not just a technological revolution—it is a strategic inflection point. This course equips senior leaders and decision-makers with the strategic tools, frameworks, and insights needed to navigate the evolving AI landscape. Through a case-based curriculum rooted in real-world business challenges and opportunities, participants will explore how AI transforms industry structures, redefines value chains, reshapes organizational capabilities, and enables new forms of strategic agility.
Repeat Status: Not repeatable for credit
BUSN 5030 Strategic Execution in the Age of AI 2.0 Credits
This course is meant to enable senior executives to lead various strategic initiatives that might be required for AI integration Comcast. Participants will learn how to conduct strategy alignment and organizational readiness diagnostics, realign structure and culture, redesign roles and workflows, and lead execution under uncertainty using advanced AI tools.
Repeat Status: Not repeatable for credit
BUSN 5040 Applied AI & Machine Learning for Business 2.0 Credits
This introductory course provides a broad exploration of artificial intelligence (AI) and machine learning (ML), focusing on fundamental concepts, real-world applications, and emerging trends. Students will learn about the history of AI, problem-solving strategies, search algorithms, adversarial agents, classification and clustering techniques, neural networks and deep learning, reinforcement learning, generative AI, and large language models. Ethical considerations, societal impacts, and the future of AI will also be discussed. No prior programming experience is required.
Repeat Status: Not repeatable for credit
BUSN 5050 Human–AI Interaction and Integration 3.0 Credits
As AI becomes more broadly embedded in technologies used by people, it is increasingly important to consider human-AI interaction design as part of the AI system development process. This class introduces the unique design challenges presented by AI. It explores questions of usability and user experience specific to AI systems, and it reflects more broadly on the relationship between humanity and emerging technologies. Students will practice skills in design, research, and writing relevant to the human side of AI. Topics include interactive system design, speculative design, algorithmic fairness, explainable AI, human augmentation/amplification, data ownership, and AI ethics. No programming experience is required.
Repeat Status: Not repeatable for credit
BUSN 5060 Adaptive Leadership in AI-Driven Environments 2.0 Credits
This course explores innovative leadership in the generative AI era, examining how leaders can augment strategic decision-making processes and transform team management. We will draw on and develop frameworks for using generative AI to enhance strategic thinking while learning to manage AI as an effective "fifth team member." This course emphasizes both leveraging AI for innovative leadership and developing the skills to direct, assess, and integrate AI to solve strategic and organizational challenges. Participants will engage with real problem-solving from multiple perspectives while developing evaluation criteria for AI-enhanced management. Participants will explore how to develop leadership heuristics for integrating generative AI into decision-making and team coordination.
Repeat Status: Not repeatable for credit
BUSN 5070 Introduction to Data Mining for Executives 2.0 Credits
This course introduces executive learners to the fundamental ideas of data mining methods, including dimension reduction, cluster analysis, classification and regression trees, and logistic regression. The emphasis is understanding the application of methods rather than on mathematical and computational foundations. All applications are business oriented.
Repeat Status: Not repeatable for credit
BUSN 6001 Economic Competitive Advantage in the Age of AI 1.0 Credit
This residency focuses on building and understanding your capabilities to assess the economic fundamentals of an organization and the industry in which it operates and how AI influences some of those fundamentals. Participants will use those fundamentals to discuss and analyze how it leads to more informed business decision-making.
Repeat Status: Not repeatable for credit
BUSN 6010 Executive Design Thinking 1.0 Credit
Participants will experience a unique product innovation process with hands-on exploratory techniques used to uncover opportunities. Participants will learn about user research probes, insight analysis, and concept ideation. Participants will use professional design tools and techniques to communicate innovative solutions while learning to articulate the value that design brings to all types of businesses. As executive and business leaders, participants will focus on how to develop and inspire the culture of innovation within an AI-driven organization.
Repeat Status: Not repeatable for credit
BUSN 6021 Leading in Ambiguity 1.0 Credit
The future of leadership demands more than experience — it requires self-awareness, strategic agility, and the ability to lead alongside intelligent systems. This course challenges students to sharpen their leadership effectiveness by exploring how personality, values, and decision-making impact organizational outcomes. Through immersive experiences, leaders will deepen their capacity for reflection, strengthen their influence, and develop actionable strategies for navigating complexity. Participants take a future-focused view of leadership, examining how executives shape culture, build resilient networks, and drive performance in dynamic, technology-enabled environments. With hands-on engagement using AI tools and simulations, students will explore what it means to collaborate with AI teammates.
Repeat Status: Not repeatable for credit
BUSN 603 Market Policies and Practices 1.0 Credit
This course provides a comprehensive introduction to project management, client based consulting engagements, research techniques and the skills required to solve unstructured business problems. The frameworks, methods, and opportunities to practice will improve participant’s decision-making skills in their current roles, as well as provide a strong critical thinking discipline that will assist them in their ongoing and future program coursework. This course acts as a springboard to Master of Science practicum experiences which give students an introduction to marketing research.
Repeat Status: Not repeatable for credit
BUSN 6030 Strategic Change Management and Implementation in the Age of AI 2.0 Credits
The goal of the course is to equip leaders with the frameworks, tools, and skills necessary to successfully drive a strategic change management & implementation plan within an AI environment. The course will stress the need to tailor an implementation approach that is aligned with strategies that are utilizing AI to generate new insights, explore possibilities and be predictive of successful outcomes. The change plan considers how the integration of AI into strategies will impact structures and human components such as resources, roles, behaviors, culture, networks, and power and has the potential to derail strategies if change management is not addressed. Students will analyze how this leads to more informed business decision-making and gain practical experience as we lead and implement change management.
Repeat Status: Not repeatable for credit
BUSN 6040 Negotiations for Executive Leaders 2.0 Credits
Negotiation is a life-long skill for leaders that is important in a variety of business relationships. Every day leaders negotiate with coworkers, colleagues, partners, suppliers, distributors, customers, the government, etc. Determining what price we as leaders will pay, the amount of our salary and compensation, who will do what assignment, the terms of a contract – all of these are negotiations. Why do we sometimes get our way, while at other times walk away frustrated by our inability to achieve the agreement and resolution we want? Negotiation is the art and science of securing agreements and resolving disputes between two or more interdependent parties. Leaders not only need analytical skills to discover optimal solutions to problems (the science), but also good negotiation skills.
Repeat Status: Not repeatable for credit
BUSN 6050 Responsible Leadership for AI Design & Governance 1.0 Credit
This course reframes AI from a back-office tool to a strategic collaborator shaping decisions, workflows, and organizational futures. Participants will explore how Human–AI Governance ensures that AI adoption aligns with business strategy, ethical principles, and cultural values, while gaining practical frameworks for implementation in their organizations.
Repeat Status: Not repeatable for credit
BUSN 6060 AI in Business – Real World Applications 3.0 Credits
This course aims to allow students to apply some of the skills they have learned about AI in a practical environment. Topics covered include: evaluation of model performance within a business context, understanding of business value that AI can drive, and understanding the practicalities of implementation of AI powered software within a business context. This course will be tailored to think about the specific corporate environment that students are working with, the specifics of their data, customers and needs. Within the overall curriculum this will allow students to gain practical experience with the technology they are learning about and a greater understanding of the practical realities.
Repeat Status: Not repeatable for credit
BUSN 6080 Leading for Innovation 3.0 Credits
This course equips participants to lead innovation in complex, fast-changing environments. With a focus on strategic foresight, digital transformation, and data-driven decision-making, students will learn how to frame business challenges, build innovation-ready actions, and develop practical strategies in the face of disruption. Blending critical thinking, business modeling, and emerging technologies like AI, the course is grounded in real-world dilemmas and culminates in a final innovation challenge presentation.
Repeat Status: Not repeatable for credit
BUSN 6090 Executive Seminar 1.0 Credit
This Executive Seminar is the culminating experience of the MBA in Artificial Intelligence program. The seminar integrates key insights from courses across AI strategy, leadership, governance, analytics, innovation, and implementation.
Repeat Status: Not repeatable for credit
BUSN 610 Strategic Career Management & Professional Development 3.0 Credits
This course equips individuals with essential skills for career progression through two modules. The first module, conducted virtually, emphasizes self-awareness, self-leadership, and effective career management, drawing from career management literature. The second, in-class module features career advisors and industry professionals who provide practical guidance on career exploration and communication strategies. Students will also learn professional etiquette, resume writing, cover letter preparation, LinkedIn profile optimization, and networking. The course includes virtual lectures, interactive group sessions, and personalized meetings with career advisors, preparing students for internships or job searches.
Repeat Status: Not repeatable for credit
BUSN 614 Foundations of Career & Professional Development 0.0 Credits
This course provides foundational instruction in professional etiquette and career development. Students will learn through lecture, small group activities, and one-on-one meeting with their career advisor the tools to create a professional resume and cover letter, LinkedIn profile, and learn how to network effectively within their industry. Upon successful completion students will be able to commence their internship/job search with the correct tools and knowledge.
Repeat Status: Not repeatable for credit
BUSN 615 Graduate Internship 0.5-3.0 Credits
Graduate-level internships provide an opportunity for practical application of theories learned in the classroom. Students typically spend three months employed at a business that is linked to their academic interests. Full-time employment is up to 40 hours/week while part-time employment is up to 20 hours/week. Variable credits based on duration of internship.
Repeat Status: Can be repeated 2 times for 9 credits
Restrictions: Can enroll if program is MBA or MS.
BUSN 651 Healthcare Business Practice I: Foundations 3.0 Credits
This is an introductory course in the business aspects of the delivery of health services and pharmaceutical/life sciences. This course will offer an overview of the healthcare marketplace and focus on the unique features of this industry. It is a multi-disciplinary survey course that will establish a foundation to develop the skills necessary for a successful business career in the healthcare, pharmaceutical, and life sciences industry.
Repeat Status: Not repeatable for credit
BUSN 652 Healthcare Business Practice II 3.0 Credits
This is a continuation in the business aspects of the delivery of health services and pharmaceutical/life sciences. This course is designed to develop more specialized knowledge and skill necessary for a successful business career in the healthcare, pharmaceutical, and life sciences industry.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 651 [Min Grade: C]
BUSN 653 Healthcare Business Practice III: Capstone 3.0 Credits
This is the third course in the LeBow Healthcare concentration focusing on the business aspects of the delivery of health services and pharmaceutical/life sciences. This course is designed to finalize students' preparations for a successful business career in the healthcare, pharmaceutical, and life sciences industry by focusing on specialized knowledge areas and by providing an intensive experiential learning experience that will integrate students' knowledge of the business of healthcare.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 651 [Min Grade: C] and BUSN 652 [Min Grade: C]
BUSN 910 Applied Organizational & Consumer Behavior 4.0 Credits
The course provides an interdisciplinary and integrative understanding of various theoretical perspective on how to organize effectively. Theories, research and practice from the areas of strategic management, organizational behavior, human resource, management, MIS and marketing will be explored for ways to leverage both internal and external data to compete in the 21st century economy and build business strategy and translate that into organizational knowledge strategy.
Repeat Status: Not repeatable for credit
BUSN 911 Opportunities in a Data Driven Economy 4.0 Credits
This course explores the growing role of data in Business. It examines the critical skills and capabilities an organization needs for success, including leadership, culture, methods and tools for becoming data driven, while also balancing human judgment. Lectures, readings, cases, and guest speakers consider the impact and challenges of gathering, storing, analyzing and providing access to data to facilitate effective decision making.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 910 [Min Grade: B]
BUSN 912 Corporate Growth and Risk Strategies 4.0 Credits
This course will discuss competitive advantage aspects as they relate to organizational growth and risk management including in contexts related to intercompany relationships. Theories, research and practice from the areas of strategic management, organizational behavior, human resource, management, MIS and marketing will be explored to learn theories frameworks on corporate development and growth and risk management studies associated with such development and growth.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 910 [Min Grade: B] and BUSN 911 [Min Grade: B]
BUSN 913 Driving Innovation and Design 4.0 Credits
This course explores the latest thinking on competitive strategies for innovation, innovation culture, product design & design thinking, creative insights and stimulating creativity behavior and such measurements using an interdisciplinary approach.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 912 [Min Grade: B]
BUSN 914 Navigating the Changing Business Environment 4.0 Credits
This course provides the foundation to apply current economic, consumer behavior and HR capital trends guided by scholarly based findings and analysis to apply to business issues in the new digital and global economy.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 913 [Min Grade: B]
BUSN 921 Applied Behavioral Research 4.0 Credits
This course introduces behavioral research thinking. The course will provide an overview of applied behavioral research methodologies, including experimental, quasi-experimental, and survey research techniques. Students will learn the advantages of each methodology and when to apply it. Students will also be introduced to measurement theory, validity, reliability, and how to conduct research ethically. There will be detailed discussions on the data and how it was collected as well as hands-on demonstrations of the statistical methodologies that were applied. Students will learn what the statistical assumptions are, what the parameters mean, and how to practically interpret the results.
Repeat Status: Not repeatable for credit
BUSN 923 Qualitative Inquiry Methods 4.0 Credits
This course introduces students to approaches in social science and humanistic research known as qualitative inquiry. These approaches include ethnography, grounded theory, phenomenology, case study, and narrative research, and employ methods of interviewing, discourse/content analysis, and participation observation. Students will explicate studies that employ these approaches; discuss assumptions of qualitative inquiry; discuss standards of sampling, ethics, and validity, and design a qualitative research proposal.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 921 [Min Grade: B]
BUSN 924 Analyzing Quantitative Data 4.0 Credits
In this course, students will learn to test hypotheses and assess theory in business and behavioral contexts as those relate to analyzing survey data, archival data, and experimental data. Through hands-on exercises that revisit and reconstruct published research, students will learn commonly used statistical methods that test hypotheses and learn how to interpret the results, as well as look for problems as revealed through the statistical testing that might lend support to alternative models. Methods discuss include linear regression, dimension reduction, analysis of variance and GLM, and logistic regression models.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 922 [Min Grade: B] or BUSN 925 [Min Grade: B]
BUSN 925 Survey Research 4.0 Credits
This course will introduce students to the art and craft of survey research. Students will become familiar with the theoretical underpinnings of survey research and at the same time get hands-on experience designing, deploying, and analyzing surveys. The course will cover all aspects of conducting survey research: selecting a sample, formulating individual questions, measurement scales, designing a questionnaire, and analyzing the collected data.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 921 [Min Grade: B]
BUSN 941 Dissertation Research, Applied Methodology Workshop 4.0 Credits
This applied methodology workshop focuses candidates on development of well-defined research questions, appropriate methodology approaches, outline of the Hypotheses, and elucidation about the Importance of the research topics.
Repeat Status: Not repeatable for credit
BUSN 942 Dissertation Research, Data Collection Strategy 4.0 Credits
This applied dissertation research course focuses candidates on the development of well-defined data collection strategy. This may include, but is not limited to, analyzing archival data, designing the survey to be used, or determining how to use existing organizational changes in a quasi-experimental design to assess phenomena. This will include IRB permission as necessary.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 941 [Min Grade: B]
BUSN 943 Dissertation Research, Literature Review and Proposal Defense 4.0 Credits
This applied dissertation research course focuses candidates on the development of the literature review section that will be included in the dissertation. The literature review should present the theoretical background of the dissertation and support the propositions and hypotheses.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 942 [Min Grade: B]
BUSN 944 Dissertation Research, Data Collection Process 5.0 Credits
This applied dissertation research course focuses candidates on the development of the data collection process for the dissertation. The data can be collected through surveys, quasi-experimental designs, panel data, or any other source approved by the dissertation chair and committee.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 943 [Min Grade: B]
BUSN 945 Dissertation Research, Data Analysis 5.0 Credits
This applied dissertation research course focuses candidates on completing the data analysis for the dissertation. It is expected that the student will consult with the Dissertation Chair and professors on the appropriate analyses methods that should be applied.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 944 [Min Grade: B]
BUSN 946 Dissertation Research, Discussion and Contribution Chapter 1.0 Credit
This applied dissertation research course focuses candidates on completing the Discussion and Contribution chapter of the dissertation.
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 945 [Min Grade: B]
BUSN 947 Dissertation Research, Final Defense 1.0 Credit
This applied dissertation research course focuses candidates on completing the Dissertation and after consultation and approval by the Dissertation Chair to submit it for Final Defense before the Committee.
Repeat Status: Can be repeated 9 times for 10 credits
Prerequisites: BUSN 946 [Min Grade: B]
BUSN 996 Summer Research Activity for PHD Students 0.5-9.0 Credits
During the Summer Quarters, PhD students in Business and Economics are expected to undertake research activity with a faculty mentor(s). This course is designated to record that activity during the summer quarter only. The research undertaken should advance the PhD student’s research towards passing the candidacy exam requirements. This course is only open to PhD Students at LeBow including those in the School of Economics. The course is not open to PhD candidates or non-LeBow students.
Repeat Status: Can be repeated 1 times for 18 credits
Restrictions: Can enroll if classification is PhD.
BUSN 997 Research Activity for PhD Students in LeBow College of Business 0.5-9.0 Credits
PhD students in Business and Economics may undertake research activity with a faculty mentor in lieu of a course. This course is designated to record that activity. The research undertaken should advance the PhD student’s research towards passing the candidacy exam requirements. This course is not open to PhD candidates or non-LeBow students.
Repeat Status: Can be repeated 2 times for 27 credits
Restrictions: Can enroll if classification is PhD.
BUSN 998 Dissertation Research Business 1.0-12.0 Credit
Dissertation Research Business.
Repeat Status: Can be repeated 9 times for 120 credits
BUSN I599 Independent Study in General Business 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
BUSN I699 Independent Study in General Business 0.5-4.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
BUSN I799 Independent Study in General Business 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
BUSN I899 Independent Study in General Business 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
BUSN I999 Independent Study in General Business 3.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated 3 times for 12 credits
BUSN T580 Special Topics in General Business 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
BUSN T680 Special Topics in General Business 0.5-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
BUSN T780 Special Topics in General Business 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
BUSN T880 Special Topics in General Business 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
BUSN T980 Special Topics in General Business 0.5-9.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit