Master's in Business Analytics Online (2024)

MBA 500

Business Performance Management

(3 Credits)

Students develop their knowledge of fundamental business functions and processes, including management of human capital, marketing, operations, and finance, applying this knowledge to realistic business problems in a variety of organizational settings. These business problems address ethical, economic, social, and other environmental factors that impact the creation of value for customers, markets, and society, both domestically and globally. Emphasis is placed on developing effective strategic decision making and communication skills. MBA 500 Prerequisite: Graduate standing

MBA 520

Financial Reporting & Analysis

(3 Credits)

Emphasis is placed on understanding reported financial information used to assess a company’s current performance, future risks, and business opportunities. Students develop skills necessary to understand the performance impact on financial statements and how economic events such as operating activities, corporate investments, and financing transactions affect the three main financial statements - the income statement, balance sheet, and statement of cash flows. Cross-listed with MSF 520MBA 520 Prerequisite: Graduate standing

MBA 615

Human Capital & Organizational Performance

(3 Credits)

This course focuses on the human and structural aspects of organizational management at the individual, group, and organization levels. Students assess, evaluate and apply evidence-based management practices and theory that can lead to tangible organizational performance outcomes, such as increased job satisfaction and organizational commitment, increased revenue and profits, improved motivation and conflict resolution techniques, greater work-life balance, and enhanced leadership effectiveness. Prerequisite: MBA 500

MBA 624

Business Analysis for Decision Making

(3 Credits)

The use of a variety of business analytics techniques, including quantitative and qualitative descriptive analysis tools, to support informed decision-making serves as a major focus of this course. Techniques addressed include tabular and graphical displays of data such as the bar chart and histogram, numerical measures such as the mean and standard deviation, and linear regression. Critical evaluation of actual business scenarios will beconducted during this course. Cross-listed with MSF 624. MBA 624 Prerequisite: MBA 500 and MBA 520

MBA 635

Marketing & New Media Strategy

(3 Credits)

Students integrate classical marketing theory with innovative marketing techniques and tactics to support a firm’s overall marketing and business strategies. Students will learn how to assess, select and integrate digital technologies, analytical approaches, and social media in concert with a firm’s overall marketing strategy. Prerequisite: MBA 500

This course focuses on the fundamentals of telecommunications including data, voice, image, and video formats. Coverage includes the concepts, models, architectures, protocols, standards, and security for the design, implementation, and management of digital networks. Emphasis is on the IT infrastructure to serve organizational needs in a rapidly changing competitive and technological environment.

This course provides an introduction to the strategic use of information technology from a business perspective at the enterprise level. Emphasis is placed on the internal management of information systems services from the point of view of the Chief Information Officer. Alternative strategies and tactics available to management to achieve business goals are examined.

This course introduces the skills, techniques, tools and methodologies necessary to support information system analysis, design and implementation.

This course addresses the issues relating to successful information security management. Topics include access control systems, network and software security, management practices, risk management, protection mechanisms, business continuity planning, and legal and ethical issues. The course allows for analysis of current security management models.

This course introduces students to the role IT plays in recognizing and exploiting the business opportunities offered by current and emerging technologies. Throughout the course students will identify and monitor current technologies at different stages of adoption and learn to use models to predict the adoption of current emerging technologies. Students will also develop a plan to align the use of current emerging technologies with the needs of the business. Prerequisite: CIS 519 and CIS 521

This course addresses the complex and unique issues related to effectively managing projects in an Information Technology context. Focus is placed on processes, teams, technology, and global project management. The course is grounded on the Project Management Institute’s Project Management Body of Knowledge (PMBOK®) principles. Students will prepare project management deliverables based on actual problems provided within various business sectors and industries. The course provides students with an understanding of the problems inherent in managing integration, scope, schedule, cost, quality, human resources, communications, risk, procurement, and stakeholders.

This course is designed to provide a foundation of SAS analytics programming concepts and environments. It provides the tools necessary to write SAS programs to perform data management, analysis, and reporting. Topics include creating and documenting data sets, managing and reshaping data, writing reports, computing statistics on data set variables, and performing effective SAS programming. Hands-on exercises designed to facilitate understanding of all the topics are included. The course also provides the basis for more advanced work in data analytics and advanced programming techniques for data management. This course aligns with the SAS Base Programming certification concepts offered through the SAS Institute, Inc. Prerequisite: None

This course offers an in-depth exploration of all the major topics in the field of data and information management from an applied perspective with an emphasis on data warehouses. The course is designed to provide not only a strong theoretical foundation, but also the technical skills required in analyzing, designing, implementing, managing, and utilizing information repositories. Topics covered include relational database model, data modeling, logical and physical database design, structured query language (SQL) implementation, procedures and triggers, data integration and quality, data warehouses and other relevant techniques for addressing big data issues in organizations today. The strategic roles that data and information play in business operations, customer relationship management, business decision-making, and strategy development are also discussed.

This course provides an analytical toolset to address modern, data-intensive business problems. To be effective in a competitive business environment, a business analytics professional needs to be able to use analytical tools to translate information into decisions and to convert information about past performance into reliable forecasts. Using a case-based approach, the course provides an overview of the key concepts, applications, processes and techniques relevant to business analytics. The course makes use of the leading software products to illustrate the use of business analytics methodologies to enhance business decision-making. Prerequisite: None

As business organizations collect more and more data as a byproduct of their operations, decision-makers are beginning to proactively and systematically analyze these data to improve decision quality. This course focuses on topics relevant to data mining, which is the process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make proactive, knowledge-driven decisions. The course provides an in-depth discussion on various techniques of data mining including predictive modeling, pattern recognition, prescriptive analytics, and text mining. Both the theoretical and practical aspects of data mining are discussed in this course. Prerequisite: BAN 600.

This course provides an opportunity for students to expand their learning by gaining new skills and experiences in the workplace. Program Director and Dean approval is required prior to enrolling in the course and any CPT activities must comply with other eligibility requirements.