MBA Degree Concentrations

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) - 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. Prerequisite: MBA 532 or equivalent

    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. Prerequisite: MBA 532 or equivalent

    MBA 545: Real Estate Investment Analysis (3) - The primary objective of this course will be to extend a student’s basic understanding of finance and of real estate to an appreciation of real estate value, real estate financing and the mechanics of the mortgage-backed security markets. Towards this appreciation, an initial illustration of the inefficiencies in real estate relative to the capital market investments will be provided. Current topics in real estate investment analysis will then be reviewed. A monograph on the Great Recession and the real estate and financial crises is examined early in the course. Special real estate topics will include the mathematics of real estate investment, real estate financing alternatives, special tax-deferral and tax-sheltering options available to the real estate investor and the origins and operations of the collateralized mortgage-backed security markets. This course will include examination of selected real estate investments and an introduction to career options in the real estate sector (real estate finance, real estate appraisal, mortgage brokerage, real estate banking, property management, etc.). Prerequisite: MBA 532 or equivalent

  • 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 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

    Note: Those who choose the Business Analytics specialization must take BAN 500: Descriptive Analytics as one of their core classes in place of MBA 515: Business Analytics. You are required to take BAN 500 before taking any of the electives listed below.

    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. This course is only offered during the spring 1 session.

    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. Pre-requisites: BAN 500 & MIS 503. This course is only offered during the spring 1 and summer 1 sessions.

    MIS 503: Programming for Analytics (3) - This course introduces the essential general programming concepts and techniques to a data analytics audience with limited or no prior programming experience. Students will learn programming foundations, application development in R and Python, and how to integrate applications with business operations in this class. The course covers hands-on issues in programming for analytics, which includes accessing data, manipulate data objects, analyze data using common statistical methods, generate reproducible statistical reports, and creating informative data graphics. The course introduces software techniques to write functions, debug, and organize and comment code. This course is only offered during the fall 2 and spring 2 sessions.

    MIS 504: Database for Analytics (3) - This course focuses on the conceptual foundations of relational databases and data management, interpreting database structure for relevant data, data queries and reporting, and searching for data anomalies [sometimes referred to as “data cleansing” of errors and inconsistencies]. Students will become familiar with database modeling and logical design. Proficiency in developing complex queries and report generation is stressed. This course is only offered during the fall 1 session.

    MIS 505: Data Visualization (3) - This course provides experience in design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Use of popular and powerful data visualization and dashboarding software tools is emphasized. This course is only offered during the spring2 and summer 2 sessions.

    MIS 506: Text and Unstructured Data Analytics (3) - This course addresses the unstructured data management skills needed for modern data analysis including those salient to big data and real-time data environments. The focus is on unstructured data and its environment. Unstructured data includes web data (blogs, text), user generated content, social media, location-aware data, and digital media among others. Topics covered include extraction methods for real time audio and video data, data capture, cleaning, representation, storage queries, manipulation, and real-time data management. Also included as they apply to unstructured data environment are data security, government, and visualization. Students will learn natural language processing and geo-spatial analytical tools. This course is only offered during the spring 2 session.

    BAN 513: Strategic Marketing Analytics (3) - The focus of this course is to familiarize students with the principles and strategic concepts of marketing analytics, a high growth area that uses computer-based analytical techniques and quantitative modeling to enhance decision-making capabilities of marketing managers. The effective use of marketing analytics offers insights into customer preferences and trends and allows for the detection of patterns, the making of new associations, and the acquisition of a deeper understanding of customers. This course is only offered during the spring 2 session.

    BAN 515: Healthcare Analytics (3) - This course equips students with health analytics skills to select, prepare, analyze, interpret, evaluate, and present clinical and operational data in order to improve healthcare outcomes. Theoretical and practical coverage of topics are presented, such as data mining, predictive modeling, association analysis, clustering and visualization. This course is only offered during the summer 2 session.

    BAN 517: Supply Chain Analytics (3) - This course introduces application of data analytics in various aspects of supply chain management, including forecasting and inventory management, sales and operations planning, transportation, logistics and distribution, purchasing, and supply chain risk management. Software packages include Excel with Solver and R. This course is only offered during the fall 2 session.

    MIS 592: Current Topics (3) - This course is currently focused on Cyber Analytics in Business Analytics. This course is only offered during the spring2 and summer 2 sessions.

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