An MBA curriculum that turns classroom learning into workplace impact.
An MBA curriculum that turns classroom learning into workplace impact.
MBA Curriculum Designed for Working Professionals
The University of New Haven’s online MBA curriculum is structured to provide working professionals with the flexibility and rigor needed to advance their careers while balancing professional and personal commitments. Our comprehensive program combines essential business foundations with specialized knowledge through a carefully designed sequence of courses delivered in convenient 7-week formats.
The MBA curriculum begins with a Foundation Core that establishes fundamental competencies in accounting, economics, and finance. Students then progress through the MBA Program Core, which covers critical management disciplines including business analytics, leadership, strategic management, and marketing analysis. These postgraduate MBA courses are designed to develop the analytical, strategic, and leadership capabilities that today’s business environment demands.
To personalize your educational experience, you can choose between a General Concentration—allowing you to select from a broad range of elective courses across business disciplines—or specialize in Data and Applied Artificial Intelligence (STEM),* Global Supply Chain Management (STEM), Cyber Risk Management, Business Analytics, or Healthcare Administration.*
Our classes for MBA students integrate real-world applications, including the innovative SLiCE (Shared Live Client Experience) project, ensuring that you can immediately apply what you learn to your current role while preparing for future leadership opportunities.
*Upcoming for Fall 2026
MBA Program Foundation Core (4.5 credits)
ACCT 6619 - Accounting Foundations
An introduction to general purpose financial statements, including the balance sheet, the statement of income and retained earnings, and the statement of cash flow, with an emphasis on understanding financial statements rather than their preparation. Financial statement ratios, useful in analysis, will also be introduced in the course. 1.5 credits.
ECON 6633 - Economics for Managers
This course addresses how scarcity forces individuals, firms, and societies to choose among alternative uses of their limited resources. At the same time, the various choices made by different economic agents must be mutually consistent. Markets are a mechanism to achieve such reconciliation. The course seeks to make the students understand how economists model the choice process of individual consumers and firms, and how markets work to coordinate these choices. It also examines how well markets perform this function using the economist's criterion of market efficiency. 1.5 credits.
FINC 6601 - Introduction to Finance
Prerequisite or co-requisite: ACCT 6619. Introduction to some basic concepts of finance, time value of money, cash flow, and financial planning, valuation techniques for projects, and capital budgeting. 1.5 credits.
MBA Program Core (25 credits)
ACCT 6621 - Managerial Accounting
Prerequisite: ACCT 6619 or ACCT 6620. Accounting analysis for the managerial functions of planning, controlling, and evaluating the performance of the business firm. 3 credits.
BANL 6100 - Business Analytics
Co-requisite: BANL 6101. This course reviews statistical concepts and methods with emphasis on data analytics and visualizations. Topics to be covered include descriptive statistics, plots and graphs for discrete and continuous data, statistical inference, regression, and selected non-parametrics, including chi-square. In addition, Power Pivot and other Excel analytical tools will be covered. Students will obtain a solid introduction to R as a functional programming language and will be able to use Excel and R to effectively compute statistical and graphical procedures. 3 credits.
BANL 6101 - Lab BANL 6100
Co-requisite: BANL 6100. Required laboratory to be taken concurrently with BANL 6100. This required laboratory provides students with diverse activities that exemplify and complement lecture material, tools, and develop and integrate skills of business analytics, including basic statistics, visualization, and predictive analytics. 0 credits.
ECON 6644 - Managing in a Global Economy
This course provides the basic theoretical foundation of both macroeconomics and international economics. The course will help the students to make decisions in today's global economy. Topics may include comparative advantage, gains from trade, measuring national output, inflation, unemployment, productivity, growth, the role of economic policy and institutions in the performance of firms and nations, currency exchange rates, capital markets, open economy, trade liberalization, and economic integration. 3 credits.
FINC 6602 - Corporate Finance
Prerequisite: FINC 6600 or FINC 6601. Examination of valuation, investment, and financing of the firm and their implications for strategic decision making; application of pricing models. 3 credits.
MGMT 6663 - Leadership and Team Building
This course examines the impact of theories and research findings relevant to leadership and team building in organizations. The role of the leader and teams in organizations is discussed. The knowledge and skills required for successful leadership and team building are analyzed. An assessment of one's own leadership and team-building capabilities is completed. 3 credits.
MGMT 6668 - Leading Organizational Strategy and Change
Prerequisite: MGMT 6663. A macro-level course that examines the intersection between business strategy, organizational leadership, and organizational change. Drawing from the disciplines of strategy, human resources management, organizational development, and leadership, this upper-level course engages students in the observation and analysis of the corporate executives' perspective. Topics may include formulating and communicating organizational intent, performance management, and organizational outcomes, human resources performance management and its links to organizational outcomes, organizational dynamics, organizational culture, organizational structure, and crisis management. 3 credits.
MGMT 6669 - Strategic Management
Prerequisites: MGMT 6663, ACCT 6621, BANL 6100, MKTG 6610. This course examines management policies and strategies for the complex organization operating in a dynamic environment from the viewpoint of top-level executives of the organization. It also develops analytic and systematic frameworks for the management of the numerous elements involved in assuring the fulfillment of the goals of the total organization. The course integrates the student's general business knowledge with knowledge acquired in the MBA curriculum. Emphasis on development of oral and written communication skills is assessed by examination and discussion of cases and by other appropriate instructional methods. Completion of a significant "SLiCE" project (Shared Live Client Experience) is required as a part of this course. Students will work in teams to assess, analyze, and make recommendations that address a real company's issues or opportunities. 4 credits.
MKTG 6610 - Marketing Analysis and Customer Value
This course integrates marketing strategy with the enhancement of value in firms, products, services, and industry. The course focuses on competitive and customer metrics and analysis, development of marketing strategy, and implementation of strategic marketing plans in business organizations. The course incorporates current developments in marketing to acquaint students with the present-day challenges of marketing activities and serves as a vehicle for the application and integration of the concepts, analytical tools, and problem-solving approaches to developing marketing strategy. 3 credits.
General Concentration (Minimum 9 credits)
For students who choose not to aggregate their elective courses in a specific concentration, they may take any combination of Pompea College of Business elective graduate courses to satisfy their degree requirements. Courses outside of the Pompea College of Business may be used to satisfy the requirements with approval from the program coordinator. Students should check with the MBA advisor or program coordinator to identify free electives that are available to them.
Global Supply Chain Management (STEM) (15 credits)
BANL 6500 - Global Supply Chain Management
This course discusses the managerial activities required to provide the right product or service in the right quantity, with the right quality from the right source at the right time for the right price, through the use of global supply chains. The course focuses on contemporary strategic issues that affect both large and small corporations. Topics include key supply chain metrics, basic tools for supply chain management, procurement and outsourcing decisions, supplier selection and relationship management, logistics, and supply chain integration and coordination for the highest customer service. 3 credits.
BANL 6550 - Managing Quality in the Supply Chain
This course introduces concepts and principles of business process improvement, and quality assurance in organizations. It examines the primary tools and methods used to monitor, measure, improve, and control business processes, and quality from a holistic supply chain perspective. Topics include statistical process control, Lean Six Sigma principles, and continuous improvement. 3 credits.
BANL 6600 - Power BI and Dashboarding
This course introduces key concepts, skills, and methods in Business Analytics for data-driven decision making in organizations. Using Microsoft Power BI, the course trains the student in dashboarding, and Power BI’s quantitative, and computational capabilities across various business domains. The mix of topics includes data access, data wrangling, visualization, and machine learning via R programming language in Power BI. 3 credits.
MGMT 6657 - Risk Management
This course will provide an understanding and application of the methods for evaluating, analyzing, and managing risk within organizations. Students will learn to apply multiple risk-management tools to make high-quality decisions for balancing corporate risk and reward tradeoffs. Financial risk topics, enterprise risk topics, and cybersecurity risk topics will be explored to prepare students to see how risk management is an essential element of any firm's strategic decision-making. Students are exposed to the role of the firm in crisis response as well as the systems and interactions necessary to ensure continuous operations. 3 credits.
Select 3 credits of the following:
ACCT 6651 - Accounting Analytics
In this course, students will develop skills required for an accounting analytics mindset. Students will apply the concepts of data preparation, descriptive and predictive analysis, data manipulation, data visualization, data reporting, and problem-solving using various analytic tools to accounting analysis. 3 credits.
BANL 6310 - Data Visualization and Communication
Prerequisite: BANL 6100. This course focuses on the art of communicating ideas imbedded in data through visual means to include spatial representations. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language. 3 credits.
BANL 6320 - Supervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors, and Neural Networks. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques. The R programming language will be used for instruction. 3 credits.
BANL 6420 - Unsupervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for unsupervised learning such as Association Rules, Cluster Analysis, and Text Mining. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains. The R programming language will be used for instruction. 3 credits.
BANL 6430 - Database Management for Business Analytics
Prerequisite: BANL 6100. This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles (to include connecting and updating), entity-relationship diagrams, constructing queries in SQL, and analyzing databases – critical skills for data analysts. The course materials, assignments, and project will all be prepared using the R programming language. 3 credits.
BANL 6605 - Applied Econometrics
Prerequisite: BANL 6100. This course applies econometric methods to real-world economic questions in order to quantify economic relationships. By providing the basic tools to do empirical analysis, this course empowers the student to become a more sophisticated consumer of economic research done by others. A foundation is built first with estimation, hypothesis testing, and confidence intervals with simple and multiple regression. This core set of econometric skills is extended with the use of dummy variables, autocorrelation, heteroscedasticity and simultaneous equations. This course uses the statistical programming language R and the R-Studio programming tool. 3 credits.
BANL 6614 - Decisions in Operations Management
This course focuses on the process of creating goods and services. Concepts, functions, and basic techniques of operations management are reviewed. Topics include decision-making, forecasting, scheduling, project management, production planning, inventory management, strategy, and quality control. Emphasis will be on quantitative methods, hands-on problem solving, and case studies. The course includes a team analysis of a real-world operations problem. 3 credits.
BANL 6625 - Data Mining for Business Intelligence
Prerequisite: BANL 6100. This course is designed to provide business students with the skills to conduct data mining and statistical analysis for dealing with common managerial-making tasks, such as prediction, classification, and clustering. Data mining is a rapidly growing field that is concerned with developing techniques to assist analysts to make intelligent use of large data sets. In this course, the emphasis is on understanding the application of a wide range of modern techniques to specific managerial situations, rather than on mastering the mathematical and computational foundations of the techniques. Upon successful completion of the course, students should possess valuable analytical skills that will give them a competitive edge in many industry sectors, in a wide range of managerial and analytical positions. 3 credits.
BANL 6670 - Special Topics
A study of selected issues of particular interest to students and the instructor. May be taken more than once. 3 credits.
EGRM 6647 - Supply Chain Analytics and Resilience
Prerequisites: EGRM 6605 or INDE 6605, INDE 6641 or EGRM 6641, EGRM 6609 or INDE 6608 or INDE 6609. This course aims to provide students analytical skills and conceptual understanding about state-of-the-art statistical and machine learning methods and data science applications for supply chain forecast. The course employs a series of case-study based lectures to understand how industry leading companies managed the unexpected circumstances considering strategic, tactical, and operational aspects of management. Cross-listed with INDE 6647. 3 credits.
MKTG 6640 - Marketing Analytics
Prerequisites: BANL 6100, MKTG 6610. This course prepares students for a career in marketing analytics. This involves analyzing data using a set of statistical tools to facilitate informed decision making. Topics include methods used in online marketing, grocery stores, and financial markets. The course also explores customer big-data techniques and their theoretical foundations to help students acquire practical skills through hands-on experiences. Students are provided with the tools and the confidence necessary to analyze real-world questions and present their findings. 3 credits.
Data and Applied Artificial Intelligence Concentration (STEM)* (Minimum 15 credits)
*Upcoming for Fall 2026
Required:
BANL 6625 - Data Mining for Business Intelligence
Prerequisite: BANL 6100. This course is designed to provide business students with the skills to conduct data mining and statistical analysis for dealing with common managerial-making tasks, such as prediction, classification, and clustering. Data mining is a rapidly growing field that is concerned with developing techniques to assist analysts to make intelligent use of large data sets. In this course, the emphasis is on understanding the application of a wide range of modern techniques to specific managerial situations, rather than on mastering the mathematical and computational foundations of the techniques. Upon successful completion of the course, students should possess valuable analytical skills that will give them a competitive edge in many industry sectors, in a wide range of managerial and analytical positions. 3 credits.
ECON 6635 - Business Forecasting
Prerequisite or co-requisite: BANL 6100. The focus of this course is on statistical and data analytical methods for the preparation of business forecasts. A variety of empirical techniques are covered: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. Emphasis is placed upon building forecasting models and evaluating their reliability. The focus is on time-series data. R is the preferred statistical package. 3 credits.
MGMT 6625 - Knowledge Management
This course will familiarize you with some of the organizational and management issues surrounding the emergence of information and knowledge as key factors in developing and maintaining a competitive advantage for firms. The course is organized around two ideas: knowledge as a manageable asset and why people in organizations sometimes don’t use what they know. A basic assumption of the class is that organizations are complex adaptive systems operating in highly competitive, information- and knowledge-rich environments. This course will also use perspectives from Positive Organizational Scholarship as a possible framework for understanding how to get people in an organization to use what they know. 3 credits.
Select 6 credits of the following:
ACCT 6651 - Accounting Analytics
In this course, students will develop skills required for an accounting analytics mindset. Students will apply the concepts of data preparation, descriptive and predictive analysis, data manipulation, data visualization, data reporting, and problem-solving using various analytic tools to accounting analysis. 3 credits.
BANL 6310 - Data Visualization and Communication
Prerequisite: BANL 6100. This course focuses on the art of communicating ideas imbedded in data through visual means to include spatial representations. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language. 3 credits.
BANL 6320 - Supervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors, and Neural Networks. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques. The R programming language will be used for instruction. 3 credits.
BANL 6420 - Unsupervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for unsupervised learning such as Association Rules, Cluster Analysis, and Text Mining. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains. The R programming language will be used for instruction. 3 credits.
BANL 6430 - Database Management for Business Analytics
Prerequisite: BANL 6100. This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles (to include connecting and updating), entity-relationship diagrams, constructing queries in SQL, and analyzing databases – critical skills for data analysts. The course materials, assignments, and project will all be prepared using the R programming language. 3 credits.
BANL 6500 - Global Supply Chain Management
This course discusses the managerial activities required to provide the right product or service in the right quantity, with the right quality from the right source at the right time for the right price, through the use of global supply chains. The course focuses on contemporary strategic issues that affect both large and small corporations. Topics include key supply chain metrics, basic tools for supply chain management, procurement and outsourcing decisions, supplier selection and relationship management, logistics, and supply chain integration and coordination for the highest customer service. 3 credits.
BANL 6550 - Managing Quality in the Supply Chain
This course introduces concepts and principles of business process improvement, and quality assurance in organizations. It examines the primary tools and methods used to monitor, measure, improve, and control business processes, and quality from a holistic supply chain perspective. Topics include statistical process control, Lean Six Sigma principles, and continuous improvement. 3 credits.
BANL 6600 - Power BI and Dashboarding
This course introduces key concepts, skills, and methods in Business Analytics for data-driven decision making in organizations. Using Microsoft Power BI, the course trains the student in dashboarding, and Power BI’s quantitative, and computational capabilities across various business domains. The mix of topics includes data access, data wrangling, visualization, and machine learning via R programming language in Power BI. 3 credits.
BANL 6605 - Applied Econometrics
Prerequisite: BANL 6100. This course applies econometric methods to real-world economic questions in order to quantify economic relationships. By providing the basic tools to do empirical analysis, this course empowers the student to become a more sophisticated consumer of economic research done by others. A foundation is built first with estimation, hypothesis testing, and confidence intervals with simple and multiple regression. This core set of econometric skills is extended with the use of dummy variables, autocorrelation, heteroscedasticity and simultaneous equations. This course uses the statistical programming language R and the R-Studio programming tool. 3 credits.
BANL 6614 - Decisions in Operations Management
This course focuses on the process of creating goods and services. Concepts, functions, and basic techniques of operations management are reviewed. Topics include decision-making, forecasting, scheduling, project management, production planning, inventory management, strategy, and quality control. Emphasis will be on quantitative methods, hands-on problem solving, and case studies. The course includes a team analysis of a real-world operations problem. 3 credits.
BANL 6670 - Special Topics
A study of selected issues of particular interest to students and the instructor. May be taken more than once. 3 credits.
EGRM 6647 - Supply Chain Analytics and Resilience
Prerequisites: EGRM 6605 or INDE 6605, INDE 6641 or EGRM 6641, EGRM 6609 or INDE 6608 or INDE 6609. This course aims to provide students analytical skills and conceptual understanding about state-of-the-art statistical and machine learning methods and data science applications for supply chain forecast. The course employs a series of case-study based lectures to understand how industry leading companies managed the unexpected circumstances considering strategic, tactical, and operational aspects of management. Cross-listed with INDE 6647. 3 credits.
FINC 6600 - Introduction to Financial Analytics
Students will learn how to access real-world data from interactive financial databases and apply analytical tools used in financial decision-making. Students will create a dashboard and utilize other data visualization tools in a financial presentation. 3 credits.
FINC 6605 - Financial Econometrics
Prerequisite or co-requisite: FINC 6613. A review of econometric models with special focus on applications in finance. 3 credits.
FINC 6650 - Data Analysis: Trading Room Applications
Prerequisites: FINC 6601. This course will use major financial software applications that are often applied in finance. The course makes extensive use of financial databases. 3 credits.
MKTG 6627 - Database Marketing
Prerequisites: MKTG 6610 , BANL 6100. An examination of methods useful for analyzing customer databases and developing data-driven marketing strategies. The exploration of insights from statistical analysis of customer life cycles, customer lifetime value, response experimentation, and predictive modeling. This course includes customer data analysis leading to performance metrics, marketing accountability, and dashboards. 3 credits.
MKTG 6631 - Digital Marketing Strategy
This course will equip students with strategic abilities to help organizations adapt to the rapidly evolving digital markets of the future. It will cover a range of situations as brick and mortar businesses go partly or entirely digital and new business models emerge that disrupt traditional business models. Using case studies and readings, students will learn the latest and upcoming changes in digital marketing strategy and practice. 3 credits.
MKTG 6640 - Marketing Analytics
Prerequisites: BANL 6100, MKTG 6610. This course prepares students for a career in marketing analytics. This involves analyzing data using a set of statistical tools to facilitate informed decision making. Topics include methods used in online marketing, grocery stores, and financial markets. The course also explores customer big-data techniques and their theoretical foundations to help students acquire practical skills through hands-on experiences. Students are provided with the tools and the confidence necessary to analyze real-world questions and present their findings. 3 credits.
QANL 6670 - Selected Topics
A study of selected issues of particular interest to students and instructor. Course may cover decision science methods such as experimental design, nonparametrics, data analysis with SPSS, Bayesian decision theory, and simulation. May be taken more than once. 3 credits.
SMGT 6625 - Sport Business Analytics
Business analytics refer to the use of data, statistical, and quantitative analysis to derive decisions and actions, and is applied in many business functions including but not limited to operations, marketing, finance, and strategic management. This course is designed to provide insights into sport business analytics. Students are introduced to the skills, technologies, analyses, and practices essential to understand and evaluate business performance in sport industry, convert data into actionable information, and assist managerial decision making. 3 credits.
Business Analytics Concentration (Minimum 9 credits)
Required:
ECON 6635 - Business Forecasting
Prerequisite or co-requisite: BANL 6100. The focus of this course is on statistical and data analytical methods for the preparation of business forecasts. A variety of empirical techniques are covered: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. Emphasis is placed upon building forecasting models and evaluating their reliability. The focus is on time-series data. R is the preferred statistical package. 3 credits.
Select 6 credits of the following:
FINC 6605 - Financial Econometrics
Prerequisite or co-requisite: FINC 6613. A review of econometric models with special focus on applications in finance. 3 credits.
ACCT 6651 - Accounting Analytics
In this course, students will develop skills required for an accounting analytics mindset. Students will apply the concepts of data preparation, descriptive and predictive analysis, data manipulation, data visualization, data reporting, and problem-solving using various analytic tools to accounting analysis. 3 credits.
BANL 6310 - Data Visualization and Communication
Prerequisite: BANL 6100. This course focuses on the art of communicating ideas imbedded in data through visual means to include spatial representations. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language. 3 credits.
BANL 6320 - Supervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors, and Neural Networks. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques. The R programming language will be used for instruction. 3 credits.
BANL 6420 - Unsupervised Machine Learning
Prerequisite: BANL 6100. The course consists of applied training in foundational topics for unsupervised learning such as Association Rules, Cluster Analysis, and Text Mining. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains. The R programming language will be used for instruction. 3 credits.
BANL 6430 - Database Management for Business Analytics
Prerequisite: BANL 6100. This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles (to include connecting and updating), entity-relationship diagrams, constructing queries in SQL, and analyzing databases – critical skills for data analysts. The course materials, assignments, and project will all be prepared using the R programming language. 3 credits.
BANL 6500 - Global Supply Chain Management
This course discusses the managerial activities required to provide the right product or service in the right quantity, with the right quality from the right source at the right time for the right price, through the use of global supply chains. The course focuses on contemporary strategic issues that affect both large and small corporations. Topics include key supply chain metrics, basic tools for supply chain management, procurement and outsourcing decisions, supplier selection and relationship management, logistics, and supply chain integration and coordination for the highest customer service. 3 credits.
BANL 6550 - Managing Quality in the Supply Chain
This course introduces concepts and principles of business process improvement, and quality assurance in organizations. It examines the primary tools and methods used to monitor, measure, improve, and control business processes, and quality from a holistic supply chain perspective. Topics include statistical process control, Lean Six Sigma principles, and continuous improvement. 3 credits.
BANL 6600 - Power BI and Dashboarding
This course introduces key concepts, skills, and methods in Business Analytics for data-driven decision making in organizations. Using Microsoft Power BI, the course trains the student in dashboarding, and Power BI’s quantitative, and computational capabilities across various business domains. The mix of topics includes data access, data wrangling, visualization, and machine learning via R programming language in Power BI. 3 credits.
BANL 6605 - Applied Econometrics
Prerequisite: BANL 6100. This course applies econometric methods to real-world economic questions in order to quantify economic relationships. By providing the basic tools to do empirical analysis, this course empowers the student to become a more sophisticated consumer of economic research done by others. A foundation is built first with estimation, hypothesis testing, and confidence intervals with simple and multiple regression. This core set of econometric skills is extended with the use of dummy variables, autocorrelation, heteroscedasticity and simultaneous equations. This course uses the statistical programming language R and the R-Studio programming tool. 3 credits.
BANL 6614 - Decisions in Operations Management
This course focuses on the process of creating goods and services. Concepts, functions, and basic techniques of operations management are reviewed. Topics include decision-making, forecasting, scheduling, project management, production planning, inventory management, strategy, and quality control. Emphasis will be on quantitative methods, hands-on problem solving, and case studies. The course includes a team analysis of a real-world operations problem. 3 credits.
BANL 6625 - Data Mining for Business Intelligence
Prerequisite: BANL 6100. This course is designed to provide business students with the skills to conduct data mining and statistical analysis for dealing with common managerial-making tasks, such as prediction, classification, and clustering. Data mining is a rapidly growing field that is concerned with developing techniques to assist analysts to make intelligent use of large data sets. In this course, the emphasis is on understanding the application of a wide range of modern techniques to specific managerial situations, rather than on mastering the mathematical and computational foundations of the techniques. Upon successful completion of the course, students should possess valuable analytical skills that will give them a competitive edge in many industry sectors, in a wide range of managerial and analytical positions. 3 credits.
BANL 6670 - Special Topics
A study of selected issues of particular interest to students and the instructor. May be taken more than once. 3 credits.
MGMT 6625 - Knowledge Management
This course will familiarize you with some of the organizational and management issues surrounding the emergence of information and knowledge as key factors in developing and maintaining a competitive advantage for firms. The course is organized around two ideas: knowledge as a manageable asset and why people in organizations sometimes don’t use what they know. A basic assumption of the class is that organizations are complex adaptive systems operating in highly competitive, information- and knowledge-rich environments. This course will also use perspectives from Positive Organizational Scholarship as a possible framework for understanding how to get people in an organization to use what they know. 3 credits.
MKTG 6627 - Database Marketing
Prerequisites: MKTG 6610 , BANL 6100. An examination of methods useful for analyzing customer databases and developing data-driven marketing strategies. The exploration of insights from statistical analysis of customer life cycles, customer lifetime value, response experimentation, and predictive modeling. This course includes customer data analysis leading to performance metrics, marketing accountability, and dashboards. 3 credits.
MKTG 6629 - Social Media Marketing
Key to a cutting edge marketing strategy today for all organizations is a relevant and meaningful social connection with customers and potential customers. Social media has become a cutting edge organizational tool to create, foster, and develop relationships with consumers, customers, clients, partners, funders, boards, volunteers - even competitors. We will focus on constituents’ social interactions, social media platforms, how to build social media strategies and market through those platforms, and finally, how to monitor and measure their effectiveness. 3 credits.
MKTG 6631 - Digital Marketing Strategy
This course will equip students with strategic abilities to help organizations adapt to the rapidly evolving digital markets of the future. It will cover a range of situations as brick and mortar businesses go partly or entirely digital and new business models emerge that disrupt traditional business models. Using case studies and readings, students will learn the latest and upcoming changes in digital marketing strategy and practice. 3 credits.
MKTG 6640 - Marketing Analytics
Prerequisites: BANL 6100, MKTG 6610. This course prepares students for a career in marketing analytics. This involves analyzing data using a set of statistical tools to facilitate informed decision making. Topics include methods used in online marketing, grocery stores, and financial markets. The course also explores customer big-data techniques and their theoretical foundations to help students acquire practical skills through hands-on experiences. Students are provided with the tools and the confidence necessary to analyze real-world questions and present their findings. 3 credits.
QANL 6670 - Selected Topics
A study of selected issues of particular interest to students and instructor. Course may cover decision science methods such as experimental design, nonparametrics, data analysis with SPSS, Bayesian decision theory, and simulation. May be taken more than once. 3 credits.
SMGT 6625 - Sport Business Analytics
Business analytics refer to the use of data, statistical, and quantitative analysis to derive decisions and actions, and is applied in many business functions including but not limited to operations, marketing, finance, and strategic management. This course is designed to provide insights into sport business analytics. Students are introduced to the skills, technologies, analyses, and practices essential to understand and evaluate business performance in sport industry, convert data into actionable information, and assist managerial decision making. 3 credits.
Cyber Risk Management Concentration (Minimum 15 credits)
Required:
MGMT 6805 - Global Perspectives on Cybersecurity Operations
This course will examine the required skills and methods to gain full situational awareness of global cybersecurity issues that impact private and public sector companies. Students will learn the principles and methods of identifying and achieving the security, risk management, and resiliency objectives of an enterprise. Students will put those principles and methods into practice through individual and group projects. 3 credits.
MGMT 6810 - Cybersecurity Incident Detection and Response
This course will use the United States' defined critical infrastructure sectors as a guide for students to explore both systemic and non-systemic cybersecurity vulnerabilities, weaknesses, and dependencies. The students will initially develop an offensive plan to disrupt an organization's information assets; this will be followed by analysis and planning to guard against such an attack. 3 credits.
MGMT 6820 - Incident and Critical Event Communication
Effective crisis communication is essential to organizational resiliency and recovery in the case of a damaging cybersecurity event. This course prepares students to develop communications protocols, processes, platforms and messaging well before the onset of cybersecurity crises, disasters, and significant investigatory matters. Crisis communications planning enables and supports resiliency/recovery strategies; mitigates the effects of operational, supply chain, workforce, and service disruptions; and preserves (or strengthens) an organization's reputation in the aftermath of catastrophic events. 3 credits.
Select 6 credits of the following:
MGMT 6815 - Strategic Management and Governance of Information Assets
It is crucial for an organization to manage and secure information assets – both its own and those it maintains with third parties. This course examines the following: information asset governance, including frameworks and models from select standards boards as well as applicable laws and regulations; practices for identifying and classifying information assets; and techniques for protecting virtual information assets. The course also includes a non-technical overview of practical applications of cryptographic theory and code-breaking, including quantum computing, and the legal implications and liabilities for failing to do so. 3 credits.
MGMT 6825 - Contemporary Issues in Cybersecurity
Contemporary cybersecurity is a rapidly changing discipline which presents organizations with a variety of challenging issues. Many of these issues are associated with an enterprise's responsibilities to its employees, customers, and other stakeholders. Legal, ethical, and privacy-oriented challenges abound. These challenges can drastically and negatively impact organizational reputation, business viability, and competitiveness. The overall objective of this course is to have students apply the cybersecurity knowledge and critical thinking skills acquired through the program to a variety of contemporary and social issues that are featured in high-profile current event cases. 3 credits.
MGMT 6657 - Risk Management
This course will provide an understanding and application of the methods for evaluating, analyzing, and managing risk within organizations. Students will learn to apply multiple risk-management tools to make high-quality decisions for balancing corporate risk and reward tradeoffs. Financial risk topics, enterprise risk topics, and cybersecurity risk topics will be explored to prepare students to see how risk management is an essential element of any firm's strategic decision-making. Students are exposed to the role of the firm in crisis response as well as the systems and interactions necessary to ensure continuous operations. 3 credits.
INVS 6613 - Banking Secrecy Act and Compliance Investigations
This course covers current issues and changes in the Banking Secrecy Act (BSA), implementation of the requirements of the act, and analysis of compliance issues. Students will identify how to use BSA reporting requirements in combating money laundering, human trafficking and smuggling, drug trafficking, and other types of fraudulent activities. 3 credits.
INVS 6629 - Evolving Trends of Financial and Cyber Crimes in an EMV World
This course is a detailed examination of the current state of financial and cyber-enabled crimes in the United States. This will include traditional crimes like check kiting, card-cracking, Felony Lane Gang, and phishing, to the ever-increasing threats of high-tech cyber-enabled criminal activity, such as point of sale (POS) network Intrusions, logical and physical attacks on ATMs, and gas pump and POS skimming to obtain the financial DNA of millions of victims. Students will also examine how the latest solution to combat access device fraud, EMV (Europay/Mastercard/Visa Chip Card) technology, will affect the future of cyber and financial crimes in the U.S. Students will examine whether EMV technology can actually reduce criminal activity in the U.S. or just create a whole new set of problems for investigators. 3 credits.
INVS 6630 - Investigating Financial Crimes
Study of principles and techniques associated with investigating financial crimes. Emphasis on case study approach to understanding financial crimes investigation. Cross-listed with CJST 6630. 3 credits.
INVS 6652 - Network Security, Data Protection, and Telecommunications
A comprehensive introduction to network security issues, concepts, and technologies. The core technologies of access control, cryptography, digital signatures, authentication, network firewalls, and network security services are reviewed. Issues of security policy and risk management are considered. Cross-listed with CJST 6604. 3 credits.
Or a combination of the following INVS 1-credit courses for 3 or 6 credits:
INVS 6500 - Fundamentals of Anti-Money Laundering
This course explores ways that financial institutions and financial intelligence units can better comply with international anti-money laundering (AML) and anti-terrorist financing (ATF) regulations. Those organizations that fail to meet the standards set by governments and legislators face monetary penalties, sanctions, and settlements stretching into the billions of dollars. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6505 - Trade-Based Money Laundering
Examining real-life events and red flags that can indicate possible criminal activity, this course identifies and reviews the patterns and techniques of trade-based money laundering. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6506 - Economic Sanctions
Economic sanctions, by their very nature, are meant to stem the financial flow of criminal entities, terrorist networks, or rogue nations. This course advises students on the purpose of sanctions, the consequences of non-compliance, and methods that can be used to detect and mitigate sanctions risk. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6507 - Correspondent Banking
This course is designed for correspondent banking sales, payments operations, risk management, audit, and anti-money laundering (AML) compliance staff at financial institutions to combat money laundering in correspondent banking. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6508 - Capital Markets
This course examines methods that securities and investment-dealer staff can employ so they can recognize and defend against financial crime vulnerabilities in international capital markets. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6509 - Private Banking
Methods on how private banks can reduce their risk of exploitation by money launderers, PEPs and terrorist financiers are explored in detail in this program. Students must receive a minimum grade of 85% to receive credit. 1 credit.
INVS 6510 - Corruption and Money Laundering
A corruption scandal can mean fines or reputational damage to a financial institution. To protect organizations from these risks, this course instructs students on the methods bad actors use to place, layer, and integrate the proceeds of corruption into the global financial system. Students must receive a minimum grade of 85% to receive credit. 1 credit.
Healthcare Administration Concentration (Minimum 12 credits)*
*Upcoming for Fall 2026
Required:
HCAD 6600 - Introduction to U.S. Healthcare System
A comprehensive overview of the basic structures and operations of the U.S.healthcare system. This course includes the historical origins and current social and political contexts in which health care is provided. Cross-listed with HLTH 7700. 3 credits.
HCAD 6601 - Management of Healthcare Organizations
Identification of the characteristics of healthcare organizations and the dimensions of management in such organizations. Examination and application of the principles of management necessary for the successful operation of healthcare organizations. 3 credits.
HCAD 6602 - Management Information Systems in Healthcare
The use of computers in the healthcare field. Review of the history of information systems and their application in healthcare settings. Survey of problems and issues inherent to healthcare information management. 3 credits.
Select 3 credits of the following:
HCAD 6603 - Financial Management of Healthcare Organizations
Theory and application of financial planning and management techniques in healthcare organizations. Emphasis on financial decision-making and on preparation of short- and long-term cash, capital, revenue, and expense budgets and financial plans to meet the requirements of HCFA and other third parties. 3 credits.
HCAD 6604 - Law and Public Health
This course examines the laws relating to public health at the federal, state, and local levels, as well as the practical administration of those laws. 3 credits.
HCAD 6605 - Healthcare Ethics
HCAD 6606 - Statistics in Healthcare Administration
This course introduces research methods and the fundamental statistics needed to succeed in today’s healthcare organizations. The course follows a practical approach that allows the student to learn key statistical principles and learn ways to effectively convey data and results using Excel and other statistical software. This course covers both quantitative and qualitative research methods used in healthcare. Cross-listed with HLTH 7706 and PUBH 6625. 3 credits.
HCAD 6607 - Communication in Healthcare
Examination of the diversity of communication encounters and contexts in which allied health professionals may be involved; emphasis on the development of competencies and skills necessary to communicate effectively with staff, patients, and the community. Influence of interpersonal communication and mass media in staff development, patient care, and the marketing of healthcare. Students will develop a communication campaign aimed at internal and external audiences. 3 credits.
HCAD 6609 - Healthcare Leadership
This course will explore the current state of healthcare leadership, leadership models and approaches, and the values and decision-making processes of leaders in healthcare organizations. This course will also prepare students for the job market with practical applications and skill-building. Cross-listed with HLTH 7703 and PUBH 6640. 3 credits.
HCAD 6610 - Strategy and Innovation in Healthcare Organizations
This course covers theories and strategies used in the strategic management of healthcare organizations. Practical approaches to strategic planning, analysis of the healthcare environment, structure and implementation of strategic plans, and innovative models in healthcare. 3 credits.
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