Presents and analyzes buyers and sellers in the marketplace, impact of external forces on marketing, customer-driven strategies and tactics, creation of market-driven competitive advantage, responsible and ethical marketing, Internet and global marketing. Detailed study of concepts and procedural alternatives in the delineation of the market target, the development and implementation of the marketing mix, and the control and analysis of the total marketing effort.
A study of how consumers think, feel and act throughout the decision process. This course explores consumer behavior theories and practices that are relevant to influencing behavior through effective marketing. A discussion of the techniques of marketing research. Special emphasis will be given to marketing problem definition, determination of information needs and current methods of analysis of marketing data.
This course enables marketing students to develop a better understanding of service offerings from both a theoretical and practical perspective. Learning will focus on both private and public-sector service organizations.
Students will learn how to analyze the design of service offerings, including operations, environment and people, and make recommendations for improving the offerings. Focuses on the basic digital tools available to marketers. The strategic value of digital marketing to the organization as it relates to the buyer behavior model is explored through lecture, cases, guest speakers and a group project. The group project teams partners with local companies to gain practical experience with digital marketing.
Develops and sharpens students' analytical and statistical skills in preparation for advanced marketing decision-making. Analyses and statistical techniques covered include descriptive statistics, cross-tabulation, analysis of variance, regression and cluster analysis applied to marketing phenomena.
This course will provide students with an understanding of how to formulate strategies for building, leveraging and growing strong brands in an increasingly dynamic and competitive environment. It will address a variety of relevant concepts, including customer and market analysis, brand positioning and brand equity. Students will consider how to design and implement effective brand-building programs and how to measure brand performance. Importantly, the course will emphasize the organizational and individual characteristics necessary for successful strategic brand management.
This course is designed to provide research experience for candidates not following the MKTG program. Theory and Its Application in Marketing. Semester course; 1 lecture and 2 seminar hours. To help students identify their research interests, the course introduces marketing theories, models and their application in scholarly research.
This course covers a range of strategic marketing management topics with a focus on theory, methods and models. Consumer Behavior, Judgement and Decision-making. Semester course; 3 seminar hours. This seminar emphasizes conceptual and methodological developments in specialized marketing topic areas. Doctoral Guided Study in Marketing. Semester course; independent study hours. May be repeated for credit to a maximum of nine hours for seminars with different content.
Focused inquiry for marketing doctoral students. Note: Students are required to submit a detailed outline of the proposed study topic for approval by the instructor. Dissertation Research in Marketing. Semester course; dissertation hours. Enrollment is restricted to candidates for the Ph. Research directed toward completion of the requirements for a Ph.
SCMA Quantitative Foundation for Decision-making. A review of basic algebra with emphasis on differential and integral calculus and their application in solving business problems. These topics also provide the necessary foundation for using and understanding more advanced quantitative procedures. May not be included in the 30 semester credits of advanced work required for any of the master's degrees offered by the School of Business.
Statistical Fundamentals for Business Management. Develops an ability to interpret and analyze business data in a managerial decision-making context. Applications are stressed in the coverage of descriptive statistics, contingency tables, probability, sampling, correlation, confidence interval estimation, hypothesis testing and regression analysis.
Business-oriented computational software will be used for data visualization and analysis. Fundamentals of the Legal Environment of Business. The legal environment of business is examined in view of common law principles, statutory provisions and administrative regulations affecting various forms of business organizations and management obligations to the company, its owner and the public.
Role of ethics and key commercial law areas are examined including Uniform Commercial Code Provisions. This course explores supply, operations and logistics processes and how these processes are integrated with other functions within the firm and across organizations. The objective of this course is to provide students with knowledge of the fundamentals of supply chain management and how those concepts apply to business practice in a global setting.
This course focuses on the concept of enterprise information systems as the application of information technology to support the integration of organizational processes. SAP ERP software applications will focus on the design, plan and control of supply chain management processes. Students are introduced to cross-disciplinary principles pertaining to creativity, design, invention and innovation. The focus is learning and applying problem-solving methodologies to address complex, open-ended supply chain problems.
Statistical Analysis and Modeling. Statistical analysis and modeling for decision analytics. Topics covered have an applied focus and may include logistic regression, bootstrap estimation, permutation tests, categorical data analysis, model selection, sparse methods and Bayesian methods.
Statistical analysis of data will be conducted using business-oriented computational software. Study of multivariate statistical methods frequently used in business and analytics problems including principal components, factor analysis, discriminant analysis, MANOVA, logistic regression and cluster analysis. The focus is on applying these techniques through the use of a computer package.
Examines the formulation, analysis and solution of quantitative models for business problems. Applications relevant in diverse business disciplines will be investigated, and the models may include optimization, simulation and other advanced analytics-modeling paradigms.
Current computer solution methods will be utilized. Examines the laws concerning human resources in organizations. Techniques and skills for leveraging real-world data to support decision-making using computational software. Topics include the analytics workflow, data preparation, visualization, cluster analysis, predictive modeling and learning-enabled optimization.
Developing and Implementing Forecasting Methods for Business. Forecasting methods and applications appropriate for managerial decision-making. Methods covered include moving average and exponential smoothing, seasonal adjustments, time series, forecast averaging, new-product forecasting, and combining managerial judgment and analytical forecasts. Particular emphasis is placed on developing and implementing forecasting techniques and other analytical tools in an interactive organization and appreciation of issues and caveats associated with each technique.
Course includes data acquisition and teamwork along with effective consulting, communication and presentation skills. A systematic investigation of the concepts and issues in designing, operating and controlling productive systems in both manufacturing and services. Concepts of quality management and Six Sigma: quality strategies, organizational quality assessment, Six Sigma process management tools and techniques, process control and improvement tools, the voice of the customer and the voice of the employee.
Research Seminar in Supply Chain Management. Approval of proposed work is required by graduate studies office in the School of Business. This course is designed to provide research experience for candidates pursuing a non-thesis option. Topics in Supply Chain Management and Analytics. Students will work under the supervision of a faculty adviser in planning and carrying out a community-engaged research project. Guided Study in Supply Chain Management.
Graduate students will submit a detailed outline of their research problem. VCU Bulletin Edition. Search Bulletin Search. Overview Degrees Courses Bulletin Navigation. Traditional program options Business Administration, Master of M. Fundamentals of Accounting. Advanced Auditing. Managerial Accounting Concepts. Forensic Accounting. Tax Research and Planning. Tax Administration. Corporate Taxation. Guided Study in Accounting. Research Methods Seminar. Managerial Accounting Seminar.
Financial Accounting Seminar. International Accounting Seminar. Behavioral Research Seminar. Auditing Seminar. Dissertation Research. Introduction to Econometrics. Advanced Microeconomic Theory.
Advanced Macroeconomic Theory. Managerial Economics. Mathematical Economics. Financial Markets. The Economics of Industry. Health Economics. Econometric Time-series Analysis. Topics in Economics. Field Project in Economics. Guided Study in Economics. Team Building and Leadership. Business Foundations. Analysis and Decisions. Global Challenges. Organizational Culture. Productivity and Innovation.
Strategic Management. Topics in Business. Financial Concepts of Management. Financial Analytics. Financial Modeling and Analysis. Foundations in Real Estate. Cases in Financial Management. Financial Management. Risk Management. Real Estate Development. Cases in Real Estate. Real Estate Valuation. Real Property Investment Law. International Finance. Short-term Financial Management. Data Re-engineering. Data Mining. Data Warehousing.
Text Analytics. Data Communications. Internet Security Management. Systems Development. Business Process Re-engineering. Application deadlines Periods. Other MBA programs at this School. By creating an account, you agree to our terms and conditions and acknowledge our privacy policy.
Sign up. By submitting your email you agree to our privacy policy. Go to economist. Or click here to create an account and start your 7-day free trial. Virginia Commonwealth University School of Business. Provide your details and we'll put you in touch with this school. First name. Last name. Email address. Phone number optional. Program interested in check all that apply. Executive MBA. Evening MBA. Students may apply to the specialized degree program at the same time as the M. Pursuing a dual degree allows students to count M.
For students pursuing the combined programs mentioned above, these courses fulfill the nine credits of electives for the M. Project courses , topics courses and guided studies may be available for use toward concentration electives. These courses must be preapproved by the director of graduate studies.
Courses at the or level taken outside of the School of Business may be used with the permission of the director of graduate studies in business. Students must satisfy the necessary prerequisites for all electives. Contact Austen Gouldman gouldmana vcu. Additional contact Robert Clarkson Program manager r mclarkson vcu. Additional contact Graduate Studies in Business gsib vcu.
Program website: business. VCU Bulletin Edition. Search Bulletin Search. Business Administration, Master of M. Student learning outcomes Leadership and teamwork: Students will develop abilities to influence others and collaborate in teams.
Communication: Students will recognize the importance of and effectively demonstrate strong communication skills. If the program were determined to be feasible, it would begin in the fall of The program would focus on cutting-edge executive MBA subject areas such as corporate planning and strategy, team building and leadership, quantitative and qualitative information analysis, organizational culture, productivity and innovation, marketing strategy, and global challenges of the future.
Van R. Wood, Ph. The term of the program for each class would be 16 to 18 months.
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