Business Analytics and Information Technology (BAIT) is Rutgers Business School’s quantitative and computing major. It covers information technology, data analysis and decision support, which are becoming more strongly intertwined and are essential components of the modern enterprise. Most modern organizations use computer systems to manage data and operations, analyze data, and support operational decision-making. The BAIT major trains students in the technology and quantitative skills needed for the converging fields of information technology and business analytics. Skills taught include relational database design and management, object-oriented computer programming, web server technology, forecasting, large-scale statistical analysis, data mining, decision analysis, optimization modeling, and risk modeling.
Most business information systems currently being developed include not only aspects of data management and online transactions, but also sophisticated data analysis and often aspects of decision support – that is, helping organizations to make better decisions, or in some cases automating operational-level decision making. BAIT prepares students to work on all levels of developing such systems. Graduates will be particularly well-positioned to work on “big data” projects – analyzing data on unprecedented scales. In addition, the RBS core curriculum also provides students with a fundamental understanding of all the business functional areas with such systems and their development teams will interact, and the basic skills needed to function efficiently in teams and assume leadership and management roles. Students should have an aptitude for computing and quantitatively-oriented material.
- BAIT students have been recruited by ADP, Becton Dickinson, Burlington Coat Factory, Ernst and Young LLP, Goldman Sachs, Mondelez, New York Life Investment Management, PricewaterhouseCoopers, Teradata, Verizon, Deloitte, and UPS
- Business graduates with strong information technology and analytical skills are highly prized, with demand exceeding supply for most of the last decade
- The BAIT major teaches skills in Information Technology, Data Analysis, and Decision Analysis and Modeling
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.
- Applied Statistician
- Business Analyst
- Computer Security Specialist
- Computer Systems Analysts
- Computer Systems Design and Related Services
- Operations Research Analyst
- Risk Analyst
- Statistical Analyst
- Systems Analyst
According to the U.S. Bureau of Labor Occupational Outlook Handbook, bachelor’s degree candidates in business analytics & information technology received a median salary of $70,000.
How to Apply
School Core Courses
Required (12 credits)
|33:136:470||Business Data Management||3|
|33:136:400||Business Decision Analytics under Uncertainty||3|
|33:136:388||Foundations of Business Programming||3|
|33:136:485||Time Series Modeling for Business||3|
Electives (9 credits)
|33:136:494||Data Mining for Business Intelligence||3|
|33:136:471||Information System Security||3|
|33:136:487||Large-Scale Business Data Analysis||3|
|33:136:455||Introduction to ERP||3|
At most, 2 courses may be selected from the following electives.
|01:960:467||Applied Multivariate Analysis||3|
|01:198:425||Computer Methods in Statistics||4|
|01:198:344||Design and Analysis of Computer Algorithms||4|
|01:220:481||Economics of Uncertainty||3|
|33:799:450||Fundamentals of Supply Chain Solutions with SAP||3|
|01:198:440||Introduction to Artificial Intelligence||4|
|01:960:476||Introduction to Sampling||3|
|01:640:478||Introduction to Stochastic Processes||3|
|01:220:487||Operations Research II||3|
|01:198:336||Principles of Information and Data Management||4|
|01:198:314||Principles of Programming Languages||3|
|01:640:424||Stochastic Models in Operations Research||3|