MBA Degree Specializations

Students in our Professional, Executive and Corporate MBA programs are given the option to enhance their core business knowledge by completing their elective credit hours in a specialized field of study. Student may choose from such disciplines as:

  • Finance

    MBA 534. Investment Management (3) Prerequisite: MBA 532 or equivalent.  Students in this course will learn to describe the financial markets and participants, use MPT to estimate an optimal risky portfolio and a minimum variance portfolio, discuss the CAPM and the Beta of a stock, discuss the EMH and behavioral finance, apply valuation models to equity securities, analyze fixed income portfolios and discuss the term structure of interest rates, and describe the payoff and profit associated with derivative securities.

    MBA 538. Financial Statement Analysis (3) This course is an introduction to the principles of financial statement analysis.  It emphasizes tools that are used to analyze a company’s financial statements. Broad objectives include: gaining a factual knowledge (terminology, classifications, methods, trends, etc) of the field; learning fundamental principles, generalizations, or theories; developing specific skills, competencies, and points of view needed by professionals in the field.

    MBA 537. International Finance (3) Financial decision making can be more challenging in a multinational corporation relative to purely domestic firms. In this module, we will analyze the environment that a finance officer operates and provide a thorough discussion of fundamental variables that impact exchange rates, currency market transactions, and international financing and investment activities of multinational companies for the purpose of enabling optimum financial decision making. Throughout the course, we will utilize formal models originating from financial research and discuss their practical implementations in a global context. The module will make extensive use of articles pertaining to international finance issues as well as case studies to focus on practical analysis of the financial environment of a multinational corporation.

  • International Business

    MBA 527. International Human Resource Management (3) Students will examine strategies for managing human resources internationally: structural, cultural, and corporate management methods. Practical examples of global HRM will be explored through organizational case studies. Students will be encouraged to critically evaluate HRM models and assumptions and to question, for example, whether practice matches prescription. The interests in HRM of a range of stakeholders will be discussed: investors, managers, employees, host countries, trade/labor unions, and governments.

    MBA 547. Strategic Global Marketing & Branding (3) The Strategic Global Marketing & Branding class addresses global economy issues at an advanced level. It provides executives with a critical awareness of the key concepts, frameworks and techniques of global strategic marketing and of global branding.

    MBA 567. Global Strategy and Management (3) Global Strategy and Management is designed to prepare graduate students in Business to acquire the skills that will help them manage effectively the multinational organization - i.e., the processes of creating and sustaining competitive advantage in global markets.

  • Business Analytics

    BAN 500: Descriptive Analytics (3) – This course covers statistical inference as applied to management decision making and focuses on building linear statistical models and developing skills for implementing statistical analysis in real situations.  Applications require the use of statistical analysis programs on the computer.

    BAN 501:Prescriptive Analytics (3) - This course introduces students to the field of prescriptive analytics.  Students will learn how to develop and use modeling techniques used extensively in the business world. Both mathematical and spreadsheet skills in MS Excel are utilized for performing optimization, simulation, and decision analysis techniques.

    BAN 502: Predictive Analytics (3) - This course explores computer-intensive methods for model selection, parameter estimation, and validation for predictive analytics. The course focuses on techniques and algorithms from the statistical and machine learning disciplines and has a strong programming component. Example topics in this course include ordinary least squares regression, logistic regression, multinomial logistic regression, classification and regression trees, neural networks, support vector machines, naïve Bayes, principal components analysis, cluster analysis, and regularization. Each technique is accompanied with a focus on application and problem-solving.

    BAN 525: Case Studies in Business Analytics (3) - This course consists of case studies on using statistical methods for prediction in some business settings. The statistical methods used in the cases follow the recent advances in forecasting with big data and include methods such as decision trees and other classification models, neural networks and stepwise regressions. The JMP Pro software, which is available at UNCW, will be utilized in all cases. The course will also include a data intensive project, which will ask students to use the approaches introduced in the cases to forecast the US economy or the stock market.

    BAN 530: Applications of Business Analytics (3) - This course requires students to apply theoretical and practical knowledge acquired during the Business Analytics program at a comprehensive capstone project. Students will develop a solution to a real-world problem that will include collecting and cleaning data, building an appropriate model, and using appropriate analytic methods to solve the problem. The course instructor will provide a problem statement and data from either a real-world domain or a close approximation. Students will work individually or in small teams to develop a project plan, appropriate models, and a final recommendation. It may be possible for students to propose their problem statement and data collection, however, all such projects must be instructor approved.

  • Healthcare Management

    BAN 515: Health Care Analytics (3) - This course equips students with health analytics skills to select, prepare, analyze, interpret, evaluate, and present clinical and operational data to improve healthcare outcomes. Theoretical and practical coverage of topics is presented, such as data mining, predictive modeling, association analysis, clustering, and visualization.

    MBA 563: Introduction to Healthcare Systems (3) - This course will provide an overview of the three Ps (providers, payers, producers) in the US healthcare industry. This industry is a complex, trillion-dollar industry, accounting for over 18% of GDP. It includes thousands of hospitals, nursing homes, specialized care facilities, independent practices and partnerships, web-based and IT supported service companies, managed care organizations, and major manufacturing corporations. It continues to grow in size and complexity, complicating the on-going challenges of controlling costs, expanding consumer access, and improving quality in process and outcomes. The Affordable Care Act resulted in significant changes for the entire industry and subsequent legislation both to modify it and even disband it will continue to influence healthcare delivery and payment systems.
    This course is currently pending official approval.


A specialization is not required - students can choose to take a combination of the many available electives.