Business Analytics and Information Technology (BAIT) is Rutgers Business School's quantitative and computing major. It covers information technology, data analysis, and decision support - essential components of the modern enterprise. The BAIT major trains students in the technology and quantitative skills needed for the converging fields of information technology and business analytics. Students in the BAIT program develop expertise in managing data, analyzing operations, and supporting decision-making for organizations.

Graduates can expect to work on information technology project development teams in a wide variety of organizations. The projects concerned will involve collecting, managing, analyzing, and acting on business data. In addition, graduates may work directly on analyzing particular datasets or operational decisions and plans. Graduates will work in all employment sectors, including consulting, consumer products, financial services, government, health care, information services, retail, technology services, and transportation/logistics.

Required BAIT Core courses

Make Use of Academic Resources

• Advising:
  The Rutgers BAIT program has advisors specialized in guiding students through this major. Schedule regular appointments to ensure you're on track.
• Degree Navigator:
  Monitor your progress and use Rutgers’ Degree Navigator to make sure you’re fulfilling all graduation requirements.
• Course Schedule Planner:
  Use this tool each semester to arrange your courses effectively, especially as some advanced BAIT classes may be offered only once a year.

Succeeding Academically

• Time Management:
  BAIT majors often balance technical courses with project-based classes, so create a structured weekly schedule to stay organized.
• Networking:
  Engage with the Business Information Technology Society (BITS) and other Rutgers organizations. Networking with peers and alumni can help you secure internships and understand industry trends.
• Tutoring and Workshops:
  The Rutgers Learning Centers offer resources, including tutoring and workshops, that are especially helpful for challenging courses like Data Mining or Decision Analysis

BITS Recommended Electives:

• Enterprise Architecture
• AI in Marketing
• Introduction to Enterprise Resource Planning (ERP)
• Principles of Information and Data Management
• Investment Modeling with R (with Prof Gilani)