MBA Courses

Examines the crucial business practices of management and planning with an emphasis on strategy and ethical leadership.

Introduces the key concepts of data analytics and data science as applied to solving data-centered business problems in many industries. Emphasizes principles and methods covering the process from envisioning the problem to applying data science techniques to deploying the results to improve a business and help make decisions. Topics include an introduction to data-analytic thinking; application of data science solutions to business problems; achieving and sustaining competitive advantage with data science. Students will read and analyze data analytics case studies in various industries.

*This course is required for the individually designed specialization. For other specializations, it may be waived based on experience/prior coursework.

Focuses on identifying and interpreting financial information with the goal of reporting on performance and planning for success.

An overview of project and process planning and management to ensure efficient operations and quality goods and services.

The marketing strategy course is designed to allow students to understand and develop marketing strategies for a real-world business or organization. Through case studies and in-class discussion, students will analyze the opportunities and challenges of selecting effective and efficient platforms and promotional tools. Special emphasis will be put on the synergies and effectiveness of the marketing mix.

*This course is required for the individually designed specialization. For other specializations, it may be waived based on experience/prior coursework.

Preparation for managerial or executive roles with the goal of growing skills in communication, motivation, personal development and change management.

A managerial overview of both macro and microeconomics, focusing on economic concepts related to individuals, businesses and markets as well as the overall economy.

The culminating course in the MBA program, allowing students to draw on all MBA courses in a final project or research paper on a topic that will enrich their professional growth.

The digital marketing course explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, and 3D Printing. It will provide a richer understanding of the foundations of the new digital marketing landscape and a new set of stories, concepts, and tools to help the students digitally create, distribute, promote, and price goods and services.

A survey and case study course emphasizing the importance of data privacy and security. We need to share data in organizations, but the more we share it, the more it becomes necessary to protect it. By the end of the course, students will understand the legal, social, and ethical ramifications of data security and privacy as well as the concepts behind data guardianship and custodianship and data permissions. Special attention will be given to industry-specific data privacy laws (HIPAA, FERPA, PCI DSS, etc.).

The digital marketing course explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, and 3D Printing. It will provide a richer understanding of the foundations of the new digital marketing landscape and a new set of stories, concepts, and tools to help the students digitally create, distribute, promote, and price goods and services.

This course focuses on several important areas impacting the dynamic nature of internet marketing by addressing the role of mobile marketing, social marketing and local marketing in today’s environment, the integration of e-commerce into the marketing activities, and the major problems and opportunities that e-commerce activities pose for the marketing manager.

This social media marketing course is designed to help the students understand how marketing has changed due to the rise of social media and changes in various underlying contextual factors such as dramatically increased speed of information dissemination across consumers and brands. The emphasis of this course is on understanding consumers’ social interactions, examining the various social media channels available to marketers, learning how to build social marketing strategies, and practicing how to track their effectiveness.

Introduces the key concepts of data analytics and data science as applied to solving data-centered business problems in many industries. Emphasizes principles and methods covering the process from envisioning the problem to applying data science techniques to deploying the results to improve a business and help make decisions. Topics include an introduction to data-analytic thinking; application of data science solutions to business problems; achieving and sustaining competitive advantage with data science. Students will read and analyze data analytics case studies in various industries.

An intermediate statistics course focusing on techniques used in data analytics. Introduces key statistical methods for applying data analytics. Introduces statistical thinking – starting with a question and using data and software tools to form a reasonable conclusion. Covers statistical analysis of both categorical and quantitative data. Most analysis will be performed using SAS software. Topics include statistical distributions, probability density functions, model accuracy analysis, bootstrapping, and sampling techniques.

A hands-on data analytics course for structured data using SAS Enterprise Miner. Covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). Course includes defining a SAS Enterprise Miner project and explore data graphically, modifying data for better analysis results, building, and understanding predictive models such as decision trees and regression models, comparing and explaining complex models, generating, and using score code, applying association and sequence discovery to transaction data. Upon completion, students will have a set of practical data analytics skills and know how to apply these skills in a variety of business environment and with many types of structured data.

A survey and case study course emphasizing the importance of data privacy and security. We need to share data in organizations, but the more we share it, the more it becomes necessary to protect it. By the end of the course, students will understand the legal, social, and ethical ramifications of data security and privacy as well as the concepts behind data guardianship and custodianship and data permissions. Special attention will be given to industry-specific data privacy laws (HIPAA, FERPA, PCI DSS, etc.).

A hands-on course emphasizing the importance of data visualization in understanding data. Designed for those who have never used data visualization software before, this course will utilize Microsoft Power BI to prepare students to create reports and dashboards at all levels of an organization. Students will learn exploratory and explanatory data analysis and learn how to ask the right questions about what is needed in a visualization. Students will assess how data and design work together and learn which visualization to use in various situations. Students will learn how to balance the goals of their stakeholders with the needs of their end-users and be able to structure and organize a digital story for maximum impact.

This course is designed to introduce students to the fundamentals of marketing in the context of a creative and innovative program design. Students will learn techniques for improving the flexibility and originality of their thinking and will explore approaches used by marketing practitioners to create and sustain organizational innovation.

The marketing management course is designed to serve as an introduction to the theory and practice of marketing. Students will improve their ability to develop effective marketing strategies and assess market opportunities, as well as design strategy implementation programs. In addition, students will have the opportunity to communicate and defend their recommendations and build upon the recommendations of their peers.

The digital marketing course explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, and 3D Printing. It will provide a richer understanding of the foundations of the new digital marketing landscape and a new set of stories, concepts, and tools to help the students digitally create, distribute, promote, and price goods and services.

The buyer behavior course examines the consumer decision process and the effect on consumer decision-making of external environmental influences (culture, subculture, social class, reference groups, family, and personal influences) and of internal psychological influences (personality and lifestyle, learning, motives, perception, and beliefs and attitudes). Applications of psychological, sociological, anthropological, and economic theories and models to the understanding of buyer behavior and the development of a marketing strategy.

The marketing strategy course is designed to allow students to understand and develop marketing strategies for a real-world business or organization. Through case studies and in-class discussion, students will analyze the opportunities and challenges of selecting effective and efficient platforms and promotional tools. Special emphasis will be put on the synergies and effectiveness of the marketing mix.

For this specialization, students will take nine core courses as well as any three business electives for a total of 36 credits.

Students may select any business electives including:

• DAN 602 – Statistics for Data Analytics
• DAN 603 – Data Mining
• DAN 604 – Database & Data Warehouse Concepts
• DAN 605 – Visualization & Digital Storytelling
• DAN 607 – Security, Privacy & Ethics in Data Analytics
• DAN 608 – Emerging Topics in Data Analytics
• DAN 609 – Python for Data Analysts
• DAN 610 – SAS Programming for Data Analysts
• DAN 620 – Data Analytics Strategy
• MKT 501 – Creativity in Marketing
• MKT 503 –Marketing Management
• MKT 612 – Digital Marketing
• MKT 505 – Buyer Behavior
• MKT 612 – E-Commerce
• MKT 617 – Social Media Marketing
• MKT 619 – Sports Marketing
• MKT 620 – Role of Graphic Design in Marketing
• MKT 623 – Strategic Event Planning & Management
• MKT 625 – Entrepreneurship