Business Analytics

Business Analytics

Learn to make business decisions with confidence

Business Analytics is the study of how organizations use data to analyze performance, make strategic decisions, and achieve business goals.

A student with a degree in Business Analytics can work in nearly any area of business given the universal need for informed decision-making. Business analysts, in New Orleans and nationally, are in high demand in healthcare, information systems, tourism and hospitality, operations and logistics, financial services, market research and many other industries.

What You Will Learn

The Business Analytics major is designed to provide students with:

Technological skills needed to manage the data and databases which businesses use on a daily basis;
Analytical skills required to make sense out of business data and create mathematical models of business decisions;
Decision-making and management skills which allow students to implement analytical results to achieve continuous improvement.

The program is interdisciplinary and is taught by faculty from a wide range of business disciplines and in Mathematics & Computer Science.

Explore the requirements of this innovative and flexible program below.

Business Analytics Course Information

To prepare for a career in business analytics, you’ll take courses in mathematics, computer science and analytics. Then, you’ll choose specialization electives to tailor the program to your goals. Here’s a sample of what you can expect to learn and do:

Sample Courses

Business Analytics with AI equips students with essential statistical tools and techniques for analyzing business data using modern AI tools. Topics include describing data, data visualization and storytelling, probability, hypothesis testing, and regression analysis, as well as practical applications of AI and modern programming languages in business analytics.

AI-Driven Business Decision-Making integrates advanced AI technologies like machine learning and generative AI with traditional methods such as time series analysis, classification, and optimization. By applying AI-driven insights, students will develop models to improve strategic planning, marketing strategies, and operational efficiency. This approach prepares them to implement AI effectively in real-world business environments, equipping them with the skills to solve complex problems using modern programming languages and tools.

This course covers the use and design of the information, knowledge / intelligence, and technological resources that are employed by managerial decision makers to gain a better understanding of a business and its customers. Decision support systems refers to the front-end technology that is generally associated with a data warehouse, and which provides modeling and analysis capabilities to help key decision makers evaluate ways in which to improve business operations and reach organizational goals. This course covers general topics related to the design of such systems, as well as practical issues of implementation of Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), dashboard analytics, or other business applications. Data security and ethics are also considered.