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Curriculum

The required core courses provide a firm grounding in the use of analytics to identify trends and patterns and to refine and develop strategies suggested by the data.  Elective course clusters will enable you to further refine your expertise by applying it to one of six professional arenas, adding value for you and your current or prospective employer.

Program Foundation Course (One Course)

GR521 Managerial Statistics

This course covers basic statistical techniques in a managerial setting featuring case studies and conceptual exercises. Statistical topics include effective use of numerical and graphical summaries, estimation and confidence intervals, hypothesis testing and regression. A few more advanced topics such as data mining, the Bayesian paradigm and principles of model building may be encountered during projects.

Required Analytics Courses (six courses)

CS605 Data Management and Systems Modeling

This course teaches proven techniques for modeling system requirements and managing organizational data resources, with a strong focus on data management. Students will learn how to discover and document database requirements, functional system requirements, and user interface requirements. Techniques covered in this course include entity-relationship modeling for data analysis, functional dependency and normalization for the logical design of the database, Structured Query Language (SQL) for data management, and use cases for requirements specification.

MA611 Time Series Analysis

Examines methods for analyzing time series. In many data modeling situations, observations are collected at different points in time and are correlated. Such time series data cannot typically be modeled using traditional regression analysis methods. This course provides a survey of various time series modeling approaches including regression, smoothing and decomposition models, Box-Jenkins analysis and its extensions and other modeling techniques commonly used , such as quantile estimation and value at risk. Makes use of statistical packages such as SAS, JMP, R andor SPSS.

MA710 Data Mining

This course will introduce participants to the most recent data mining techniques, with an emphasis on: 1. getting a general understanding of how the method works, 2. understanding how to perform the analysis using suitable available software, 3. understanding how to interpret the results in a business research context, and 4. developing the capacity to critically read published research articles which make use of the technique. Contents may vary according to the interest of participants. Topics will include decision trees, an introduction to neural nets and to self-organizing (Kohonen) maps, multiple adaptive regression splines (MARS), an introduction to genetic algorithms, to association (also known as market basket) analysis, to web mining and text mining, and to social networks.

ST625 Quantitative Analysis for Business

Provides students with an in depth coverage of simple and multiple linear regression methods and, as time permits, an introduction to the analysis of time series data. Simple and multiple linear regression techniques are covered including the use of transformations such as squares and logarithms, the modeling of interactions, and how to handle problems resulting from heteroscedasticy and multicollinearity . Issues surrounding outlying and influential observations are also covered. The art and science of model building are demonstrated with the help of cases. Autocorrelation is then considered, and an introduction to the ARIMA modeling of times series is provided. Makes use of statistical packages such as SAS, JMP, R or SPSS.

ST635 Intermediate Statistical Modeling for Business

Focuses on statistical modeling situations dependent on multiple variables, as commonly found in many business applications. Typical topics covered are logistic regression, cluster analysis, factor analysis, decision trees, and other multivariate topics as time permits. Applications of these methodologies range from market analytics (e.g. direct mail response and customer segmentation) to finance and health informatics. A central objective of the course is for participants to be able to determine the appropriate multivariate methodology based on the research objectives and available data, carry out the analysis and interpret the results. Makes use of statistical packages such as SAS, JMP, R or SPSS, along with more specialized software.

MA610 Optimization and Simulation for Business Decisions

Optimization and simulation methods are being used as effective tools in many environments that involve decision making. This is a course that covers classical and modern optimization techniques used today in a business environment. Specifically, the focus will be on linear and nonlinear programming techniques with applications, as well as elective topics selected from game theory, agent based modeling and modern simulation and optimization techniques. Examples of application areas of optimization include portfolio selection in finance, airline crew scheduling in transportation industry, resource allocation in health care industry, minimizing the cost of an advertising campaign in marketing.

Elective Courses (four courses)

Elective course clusters will enable you to further refine your expertise by applying it to one of six professional arenas, adding value for you and your current or prospective employer.

Data Science Cluster

CS603 Object-Oriented Application Development

This course teaches object-oriented programming and development using the Java programming language. Students first learn the fundamentals of programming, including control and data structures, file input/output, and the use of built-in classes. This is followed by object-oriented concepts, including inheritance, encapsulation, polymorphism, and abstract classes. Throughout the course, the students' understanding is reinforced through development projects ranging from stand-alone applications to event-driven Web applets with graphical user interfaces.

CS612 Web-Based Application Development

This course provides a hands-on introduction to several tools and technologies that are commonly utilized in developing Web-based applications. The course also considers the impact of these technologies in a business context. Students learn how to develop dynamic, data-driven applications that enable businesses to interact with their customers, employees, and suppliers and provide on-line access to information that supports decision making. Students enrolling in this course are expected to have basic proficiency in Java, website development, and relational databases.

CS650 Data Management Architectures

The architectures of current database systems are examined. Of particular importance is the examination and comparison of relational database systems, and object oriented database systems, particularly as they are used as a foundation for large-scale distributed systems. The course covers techniques for developing, designing, and managing large corporate database systems, creating and managing logical data models, concurrent processing issues, providing database support for complex transactions, meta-data analysis, and the role of the DBA.

CS753 Data Warehousing and Data Mining

This course is designed to expand students' knowledge and skills gained in database management courses and look in depth at data warehousing and data mining methods. The course examines the database architecture and technologies required for solving complex problems of data and information management, information retrieval, and knowledge discovery facing modern organizations. Case studies of organizations using these technologies to support business intelligence gathering and decision making are examined. This course also provides hands-on experience with state-of-the-art data warehousing and data mining methods and tools.

Economics Cluster

EC611 The Macroeconomics of Financial Markets

Explores the links between the macroeconomy and financial markets. We begin by developing a model of the macroeconomy. We will then cover the basic asset valuation models. The remainder of the semester will explore how changes in the macroeconomy affect stock, bond, foreign exchange, and derivatives markets, as well as how these markets in turn impact the macroeconomy.

EC621 Business and Economic Forecasting

Presents a range of concepts useful for business, economic and financial forecasting. Introduces the types of forecasts required, simple time-series models, data series smoothing techniques, trend-line fitting and forecasting, linear regression time-series forecasts and Box-Jenkins models. Examines the selection of appropriate techniques in various business situations and utilizes selected software for business forecasting.

EC631 Market Structure and Firm Strategy

Examines industry organization and the nature of interfirm rivalry within contemporary market environments. Develops microeconomic tools for determining the degree and nature of competition in an industry. Presents economic models of market structure and firm behavior to explain industry performance. Analyzes market definition using scale economies, merger activity, entry barriers, and cartelization. Investigates strategic firm behavior within well-defined markets. Addresses competitive strategies such as profit maximization, price discrimination, product differentiation, and advertising. Includes a game theoretical approach to demonstrate firm interdependence. Employs a variety of industry case studies to provide institutional context to the analytical issues.

Finance Cluster

FI623 Investments

This course provides fundamental knowledge in key areas of investments. In particular, the course will focus on portfolio theory, asset pricing, equity valuation, fixed income valuation and risk, and option pricing and strategies.

FI635 Fixed Income Valuation and Strategies

Covers the pricing of fixed income securities, examining topics such as bond mathematics, term structure of interest rates, repurchase agreement market, pricing of default risk in the context of high yield corporate bonds, foreign exchange risk in the context of foreign currency denominated bonds, and pricing pre-payment risk in mortgage-backed securities. More advanced topics include the tools and their application under realistic assumptions in the real world, application of duration and convexity under realistic yield curve assumptions, risk and return in the high yield bond market and related structured products, option-adjusted spread modeling in mortgage backed securities pricing, the mortgage derivatives markets, and foreign currency denominated bond investment. Requires econometric analyses that involve using the resources of the Trading Room. Assigned readings include journal articles from applied academic finance journals and research reports from Wall Street firms.

FI640 Equity Valuation

Teaches students to value equity securities, starting with the top-down approach and industry analysis/forecasting. Examines valuation theory, models and applications. Students analyze the IPO process to gain a detailed understanding of equity market operation, issues that affect these markets and where they are headed. More advanced topics include the implications of financial statements on cash flow and risk, the exploration of valuing distressed or bankrupt companies, closely held firms, and venture capital situations. Requires extensive use of applied academic journals, the financial media, and resources available in the Trading Room.

FI645 Derivatives

Provides materials and projects that will allow students to develop a detailed understanding of the design, mechanics and pricing of derivative securities in risk management. The concept of the law of one price will be stressed and includes the application of the tools and inputs (quantitative techniques as developed in ST 625) necessary to value derivative securities. The mathematical requirements of the course are primarily algebraic, but the student will also need to rely on statistical methods and some calculus. Please note that this is not a survey course. It is an intensive introduction to derivative securities pricing and market mechanics.

Information Management Cluster

IPM652 Information Management

Designed for the general business student who wants to gain knowledge about organizing data to obtain required information. This course focuses on the collection, analysis, and management of the enterprise's information resources. The emphasis will be on managerial and organizational issues with sufficient technical concepts to fully understand the issues. The interrelationship between the technical, managerial, organizational and inter-organizational aspects will be explored.

IPM723 Information Security, Controls and Ethics

This course presents an overview of information security issues that must be addressed by organizations in today's ubiquitously networked environments. Specific coverage will include information security risks and related protection of data, networks and application software. While the primary focus is on how to protect organizational information assets, other topics will include strategic uses of security in business, the impact of security risk on various industries as well as the security and privacy rights and responsibilities of end users and home computer operators. The course is designed to help students think critically about the local, national and global information security issues in our highly networked society.

IPM755 Special Topics in Information and Process Management

Focuses on a different information management theme in each semester. Possible themes include inter-organizational information sharing, information ecology, and business intelligence.

Management Cluster

MG704 Management Consulting Skills

Teaches the fundamentals of management consulting. Students learn the basics of internal and career consulting as well as how to be good consumers of consulting services. Topics include the consulting process; project, team and client management; the ethics of consulting; careers in consulting; and issues surrounding the use of consultants. Exploring the nature of consulting from the vantage points of both consultant and client, the course is designed for graduate students who may be interested in a consulting career, find themselves serving as an internal consultant, do occasional consulting outside their primary job, or need to hire or work with external consultants. Seeks to produce savvy consumers of consulting services in addition to enhancing the skills needed for management consulting.

OM661 Operations Strategy

Focuses on the development and implementation of production/operations strategy and the integration of this strategy with the corporate, business and other functional strategies of both manufacturing- and service-oriented organizations. Topics include decisions involving plant location and capacity, vertical integration, organizational design for operations, systems design, facilities management, productivity management, and implementation of operations strategy.

SFM653 Service Focused Management

Every organization has customers, be they called clients, patients, guests, passengers, students, and even customers. How these firms interact with their customers is a major factor in their long term success. In today's highly competitive environment, those firms that take a service-driven, customer-centric perspective will prosperwhile those that don't will fail and go out of business when customers take their business elsewhere. The successful design and implementation of the service delivery process requires a trans-disciplinary approach to be not only effective in satisfying customer requirements but also efficient in minimizing costs. The disciplines involved in the design and execution of the service delivery process include operations, marketing, human resource management and information technology. This course introduces a framework for integrating these functional areas in the service delivery process, showing how each adds value from the customer's perspective.

SFM654 Managing Quality in Service

In the United States, the service sector now accounts for more than 80% of the nation's economy, and that proportion continues to increase. In addition, many manufacturing companies are now recognizing that they can obtain a competitive advantage in the marketplace with their products by providing their customers with outstanding service. The unique characteristics of services, including intangibility, the direct interaction of the customer in the service process, simultaneous production and consumption, heterogeneity of demand, and labor intensity, create unique challenges for service managers in the management and control of quality. This course examines these unique challenges and addresses the application of modern quality management theory, methods, and tools to service industries.

Marketing Cluster

MK711 Marketing Research and Analysis

Focuses on the development of questionnaires and other vehicles for collecting marketing data, the methodology for analyzing these data (with the use of sophisticated statistical software), and reaching conclusions based on the analyses. Real-world questionnaires and real-world data are utilized.

MK725 E-Marketing

Builds critical skills for individuals who will practice the art and science of Internet marketing in the future. Covers the important frameworks, principles and contexts in this domain that are likely to endure, for example, auctions, customer relationship management, privacy, the communication e-mix, and channel adaptation and coordination.

MK726 Customer Data Analysis and Relationship Marketing

Focuses on the analysis of customer data as the primary input to developing strategies for relationship marketing. Examines customer acquisition and retention, segmentation, customer loyalty, lifetime-value analysis of the customer, and direct-response modeling - all as part of customer relationship marketing strategy. Hands-on experience in data analysis receives heavy emphasis.

MK758 Enhancing Creativity

This class will focus on the nature of creativity and the creative process. We will discuss several definitions and theories of creativity, and apply these theories to enhance your own creativity. Several techniques will help you to recognize and remove barriers to creative thinking. We will apply these techniques to develop creative approaches to business and marketing cases and your own business and academic problems. While the focus of the class is on individual creativity, we will also discuss the pros and cons of team creativity and apply techniques to improve team efforts. Organizational creativity and implementing creative solutions will also be covered.

Additional Elective Courses

HF730 Visualizing Information

Examines the theory and practice of designing dynamic visualizations that clarify thinking, facilitate problem solving, and foster creativity. This course helps students to harness their visual and creative potential and to display this potential in the visual medium. In practice, students will learn to make large collections of verbal and numerical data accessible through carefully crafted visual displays. The unique strengths and weaknesses of both words and visuals are analyzed. Advancing from this analysis, the course helps students design a visual-verbal system where the strengths of one medium support the weaknesses of the other. This complementary system more fully integrates visual and verbal information, thereby dramatically improving the reader's understanding and retention of the communication design.

ST701 Internship in Business Data Analysis

Provides an opportunity for students to apply quantitative and data analysis skills in a live employment environment, serving as a quantitative analyst. With help from the internship coordinator, students identify a suitable internship and meet regularly with the internship coordinator. Students prepare a paper that discusses the internship experience and demonstrates at least one specific case analyzed during the internship period. The course can be used either as a Business Analytics concentration elective with permission of the Business Analytics coordinator or as a distribution elective.