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Business
A professor teaching a class in the Stillman School of Business.
Undergraduate
Bachelor of Science (B.S.)

Business Analytics

In today’s world, businesses rely on data to make smarter decisions. With technology becoming more affordable, companies of all sizes can now use data to drive success. However, not everyone knows how to analyze and interpret data effectively. That’s where a major in Business Analytics comes in.

Seton Hall’s B.S. in Business Analytics program combines business knowledge, data analysis skills, and technical training to prepare students for success in a data-driven world. You’ll learn how to interpret data, tell stories with it and use it to solve real business problems.

Coursework covers topics like statistics, programming in Python and R, predictive modeling, text analytics, and using tools like Tableau and SQL. You’ll also explore cutting-edge technologies, such as cloud services and GitHub, gaining skills that businesses value.

Is it Worth it to Pursue a B.S. in Business Analytics?

Absolutely! Business Analytics is one of the most in-demand fields, offering opportunities in nearly every industry. Seton Hall’s program ensures you graduate with the ability to turn data into strategic insights, making you a valuable asset to employers. If you’re looking for a degree that blends technology, problem-solving and business, this is the path for you.

Curriculum

Required Courses (12 credits):

  • BITM 3721: Introduction to Programming
  • BITM 3724: Business Information Modeling
  • BITM 3744: Business Intelligence
  • BITM 3747: Business Applications of Machine Learning

Electives (3 credits)

  • BITM 3727: Advanced Business Software Tools
  • DASC 3111: Text Mining
  • PSYC 3114: Cognition and Data Visualization
  • BMKT 3611: Market Research
  • ECON 4420: Econometrics
  • BMKT 4634: Marketing Metrics
  • BFIN 4255: Financial Modeling

Prerequisites
Students majoring in business analytics will have to complete the following core business courses with a grade of B or better:

  1. BITM 2701 – a course that covers Excel
  2. BQUA 2811 – business statistics

See full curriculum requirements »

 

Program Faculty

Many of our full-time faculty have attended top Ph.D. programs and are in demand as lecturers, consultants and media experts. Stillman School faculty provide an academic experience characterized by high faculty-student engagement, often partnering with students on research and other projects.

View a full listing of the Stillman School faculty »

sung shim faculty posing
Sung Shim
Associate Professor and Chair of the Department of Computing and Decision Sciences
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Penina Orenstein 222 pic posing
Penina Orenstein
Associate Professor of Computing and Decision Sciences
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