Graduate Course Descriptions

In-depth research and discussions regarding employee recruitment and selection processes. Strategies of employee development, delineation of positions, and candidate selection are examined for internal and external candidates. Topics emphasize recruitment, interviewing, testing, and validation from the view of an organization, the human resource department, and the prospective employee.

Generative AI (GenAI) is ushering in a new age of productivity in business. Managers who ineffectively adopt it risk being outpaced by forward-thinking competitors. This course equips students to drive impact in any industry using GenAI tools. You will learn to engineer effective prompts, integrate AI into workflows, and develop innovative GenAI solutions, as well as, explore ethical considerations and future trends.

Just like you would not use a financial model to drive a marketing campaign, different business use cases require different AI tools. In this course, students will explore the potential and limitations of AI technologies, learning to identify business problems suitable for AI solutions and build effective AI implementation strategies. By the end of this course, students will address key challenges and solutions in AI implementation.

AI projects can help predict trends and optimize operations, allowing businesses to understand not just what has happened but what will happen—and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impacts by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.

Storytelling is one of the oldest and most powerful tools for action, and this course empowers MBA students to transform raw data into compelling narratives that drive business decisions. By the end of this course, you will be able to to create data queries and visualizations, integrate data into business planning, and effectively communicate your findings, helping organizations turn data into a strategic tool for competition and innovation.

Spreadsheet tools are the most universal and easily accessible program for most people to use and interpret data—and a vital skill for any analyst to know. In this course, students will learn data cleaning, financial modeling, optimization, and data visualization using PivotTables and PivotCharts, enabling students to analyze complex datasets, create forecasts, and effectively communicate insights to support data-driven decision-making in business contexts.

Managers who hope to stay competitive in business analytics need to be able to scale their analytics—and Python provides that solution. This course covers Python’s significance in business analytics, setting up the Python environment, and learning basic syntax. You will leverage three of Python’s essential libraries—NumPy for numerical data, Pandas for data manipulation, and Matplotlib for data visualization—to use data to solve complex business problems. Prerequisite includes Spreadsheet Modeling for Decision-Making or demonstrated Excel skills.

Companies storing information are responsible for keeping it safe—and face consequences if they do not. Who is at fault after an attack, and who must be informed? This course covers corporate governance principles, risk identification methods, business regulations, accountability, and audits. In a data-driven world, business leaders must handle data responsibly, and by the end of this course, you will learn how to manage the growing legal obligations around cybersecurity.

In order to ensure a house is safe, we need to know how it is built. It is the same for cybersecurity: to ensure systems are secure, we need to understand their design and the unique security challenges of different network architectures and data storage solutions. By the end of this course, you will be able to critique security for various network designs, including IT and OT systems, cloud environments, data storage, and IoT networks, in terms of cyber risk.

Cyberattacks today are inevitable—but the extent of the damage may rely on how much you, as the manager, are prepared. By the end of this course, you will know how to create risk management strategies before, during, and after cyberattacks, developing incident response plans, understanding frameworks, like NIST and MITRE ATT&CK, identifying proactive and reactive protection techniques, and debriefing with ‘hotwashes.’