BS - Business Analytics
This degree offers students attending class at the LSU A&M campus, and online students from around the United States, an undergraduate degree in an area of business that is in high demand by employers in the U.S. and worldwide.
What is Business Analytics?
Our BS-Business Analytics degree program is interdisciplinary and designed to prepare students to gather, analyze, document, and monitor data to help streamline business processes and improve business products. Students will learn analytical skills by studying core business areas such as accounting, finance, management, and marketing. Possible career paths for business analytics graduates include highly sought-after positions like data scientists, market research analysts, and business analysts.
Opportunities in Business Analytics
Areas: analysis, business analytics, marketing analytics, financial analytics, administration, human resource analytics, accounting analytics
Employers: consulting firms, energy companies, entertainment companies, educational institutions, financial institutions, government agencies, healthcare organizations, hotels and restaurants, insurance companies, manufacturers, public accounting firms, retailers, telecommunications companies
BS-Business Analytics Learning Objectives
The BS in Business Analytics is a 120-hour program with many learning objectives for students:
- Understand the core principles, methods, and techniques used to manage business areas and apply analytics to solve problems.
- Understand core issues relating to big data analytics.
- Understand principles of data base design.
- Write SQL queries to extract data from databases.
- Explain business intelligence concepts.
- Create SQL views to combine and manipulate data from different sources in preparation for analysis.
- Clean and prepare data for analysis.
- Create a variety of visualizations with Tableau or other applications, including building dashboards.
- Explain how to apply the terms “big data” and “analytics” in the context of predictive analytics.
- Prepare data for predictive models using CRISP-DM.
- Select appropriate model or method for predictive analysis modeling to support business decision-making.
- Evaluate predictive analytics models for accuracy and ability to be replicated.
- Understand specific analytics applications in finance, accounting, management, and marketing.
- Use analytics to support data-driven decision making in finance, accounting, management, and marketing.
Students will take the core business courses required for all undergraduate business degree programs. After completing the core business courses, they are required to complete three (3) core general business courses (GBUS 3301, 3302, 3304) that provide a foundation in data analytics, as well four (4) analytics courses from different academic disciplines. This curriculum ensures that students receive instruction on the four main components of analytics: preparative analytics, descriptive analytics, predictive analytics, and prescriptive analytics; and that they also receive instruction on the application of analytics to various business decisions in disciplines such as marketing, finance, and human resources. Upon graduation, students should be able to apply the tools of analytics to a broad range of business functions.
* This degree program is offered on-campus and online. For more information about the online format, visit LSU Online.