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MBA Immersive Tracks

Full-time MBA Business Data Analytics Immersive Tracks Classes

Leverage the corporate connections and intellectual assets of the Business Analytics Center at Scheller College. Work on real data analytics projects in cross-functional teams. Acquire the skills to manage data analytics programs, to interface with data scientists, to frame the right questions, to obtain meaningful insights, and to translate those insights into business actions.

Foundation Course
 Required
MGT 6203
Data Analytics in Business

This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of big data analytics by allowing students to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations.

Practicum Course
 Required
MGT 8803
Business Analytics Practicum

This course pairs groups of students with a company for a semester-long project. Student teams works with their participating company by framing a business issue as an analytics problem, analyzing data provided by the company, and generating applicable business insights and/or developing capabilities.

Electives
 Choose two (2)
MGT 6051
Database Development and Applications

The role of databases in the modern enterprise. Design and development of database systems. Applications in accounting, marketing, operations, and human resource systems.

MGT 6057
Business Process Analysis and Design

Explore software infrastructure of the firm. How does that infrastructure support the business' processes? Includes an ERP simulation game. Effective management of technology to gain competitive advantage. Involves use of SAP.

MGT 6310
Marketing Research

Learn the skills to translate management problems into marketing research problems. Gain the ability to analyze problems systematically. Develop critical eyes for marketing research and understand its contributions and limitations. Gain a working "hands-on" experience with the full process of marketing research.

MGT 6400
Pricing Analytics and Revenue Management

Introduces spreadsheet-based modeling methods for maximizing a firm's profit and forecasting customer demands. Understand pricing of constrained capacity, overbooking policies, price optimization, and customer segmentation for revenue maximization.

MGT 6401
Supply Chain Modeling

Matching supply and demand by forecasting and understanding inventory basics. Understand incentive alignment, logistics network design, and capacity management. Gain a deeper understanding of retail supply chains and service supply chains.

MGT 6725
Information Security Strategies and Policy

Information security vulnerabilities and risks; legal, cost, privacy, and technology constraints; derivation of strategies; technical and procedural means of achieving desired ends.

MGT 8803
Marketing Analytics and Pricing Strategy

Learn proven concepts, techniques, and frameworks for assessing and formulating pricing strategies. Establish a foundation for effective pricing decisions by understanding key economic, analytical, and behavioral concepts associated with costs, competitive behavior, and customer behavior. Learn to create additional value with advanced pricing techniques including dynamic pricing, segmented pricing, pricing structures, and promotions.

MGT 8803
Risk Analytics

Gain an understanding of the tools and methods to manage the risks faced by financial institutions. Special emphasis is placed on managing credit risk and risk measures. Many of the tools and topics discussed may also be applicable to non-financial companies.

MGT 8803
Understanding Markets with Data Science

This course studies social network and social media by using data science to understand how individuals interact with each other, and how firms and organizations may gain insights and design policies that better serve consumers across various markets. In particular, students will explore the nature of marketplace networks, investigate how they are formed and maintained, and study the kinds of economic behaviors that result from different network structures. Furthermore, to understand how networked individuals influence one another, students will study the conversations by which they communicate. Focus is placed on the tools used by data scientists to understand consumer sentiment, demand, etc., and make informed recommendations.





Recommended Additional Courses
If students would like to go beyond the four required electives, the following courses are recommended.

MGT 6101  Managing Human Resources: Data-Driven Decision Making (3 credit hours)
This course is intended to provide an introduction to the theory, policies, and practices that guide the management of human resources within organizations. The underlying premise of this course is that the people employed in an organization represent resources through which a sustainable competitive advantage can be achieved. Students will learn data-driven research findings concerning the relationships among human resource practices, employee outcomes, and organizational performance. Discussions will include detailed examinations of the tools and procedures used by organizations to attract, select, and retain employees. In addition to detailing established best practices for staffing, the course will also cover decision making biases and heuristics that frequently undermine organizational efforts to effectively manage their employees. Thus, this course is designed to help students develop a framework for making evidence-based decisions dealing with critical and complex human resource management issues facing today's organizations.

MGT 6726  Privacy, Technology, Policy, and Law (3 credit hours)
Big data has created numerous challenges in how to build private and public institutions to achieve the benefits of greater information flows while managing the risks to personal privacy and cybersecurity. This course seeks to equip students to understand the multiple perspectives relevant to managing privacy in an organization, both for private-sector companies and for government.

MBA immersive tracks and concentrations are optional. Students have the flexibility to take electives in any combination of areas. There is also a concentration in business analytics.