Business Analytics

Major: Business Analytics
Degree Awarded: Master of Science in Business Analytics (MSBSAN)
Calendar Type: Quarter
Total Credit Hours: 45.0
Classification of Instructional Programs (CIP) code: 52.1302
Standard Occupational Classification (SOC) code:
15-2041; 19-3022; 25-1011; 25-1022

About the Program

The MS in Business Analytics program is designed for students who have an interest in quantitative methods, data analysis, and using computer programs to solve business problems.

Students learn how to access and analyze data for the purpose of improved business decision-making. This program prepares students to make good business decisions with fact-based insights and an understanding of business performance from a systems view, using statistical and quantitative analysis of data as well as explanatory and predictive modeling.

The program draws upon three traditional areas of business intelligence:

  • statistics, to explore and uncover relationships in data;

  • operations research, to develop mathematical models for data-supported decision making; and

  • management information systems, to access and create databases that support the other two areas.

Additional Information

For additional information about the program, students should contact the Department of Decision Sciences and MIS.

Degree Requirements

Operations Research
OPR 601Managerial Decision Models and Simulation3.0
OPR 620Operations Research I3.0
STAT 610Statistics for Business Analytics3.0
STAT 630Multivariate Analysis3.0
STAT 642Data Mining for Business Analytics3.0
Management Information Systems
MIS 612Aligning Information Systems and Business Strategies3.0
MIS 633Predictive Business Analytics with Relational Database Data3.0
MIS 634Advanced Business Analytics with Relational Database Data3.0
Capstone Project
BUSN 710Business Analytics Capstone Project3.0
Students Select One Concentration**9.0
Information Systems Concentration
Select three of the following
Systems Analysis & Design
Inter-Active Decision Support Systems
Database Analysis and Design for Business
MIS Policy and Strategy
Management of Health Care Info Systems
Information Systems Outsourcing Management
Managing with Enterprise Application Software using SAP - Logistics
Managing with Enterprise Application Software using SAP-Accounting & Analytics
Statistics Concentration
Select three of the following:
Time Series Econometrics
Applied Industrial Analysis
Business Conditions and Forecasting
Customer Analytics
Statistical Sampling
Applied Regression Analysis
Quality & Six-Sigma
Experimental Design
Advanced Statistical Quality Control
Modeling Concentration
Select three of the following:
Mathematical Economics
Business & Economic Strategy: Game Theory & Applications
Operations Research II
Advanced Mathematical Program
System Simulation
Decision Models for the Public Sector
OR Models in Finance
Functional Area of Business Concentration
To complete a concentration in one of these fields, the student will develop a plan of study that is mutually approved by the student and the Department Head.
Select three 600-level courses from either: ACCT, FIN, MKTG, POM or ECON
Free Electives**9.0
Select three 600-level courses within LeBow.
Total Credits45.0

Sample Plan of Study

First Year
Term 1Credits
MIS 612Aligning Information Systems and Business Strategies3.0
OPR 601Managerial Decision Models and Simulation3.0
STAT 610Statistics for Business Analytics3.0
 Term Credits9.0
Term 2
MIS 633Predictive Business Analytics with Relational Database Data3.0
OPR 620Operations Research I3.0
STAT 630Multivariate Analysis3.0
 Term Credits9.0
Term 3
MIS 634Advanced Business Analytics with Relational Database Data3.0
STAT 642Data Mining for Business Analytics3.0
Concentration course3.0
 Term Credits9.0
Term 4
Internship/Co-Op or Consulting course3.0
 Term Credits3.0
Second Year
Term 5
BUSN 710Business Analytics Capstone Project3.0
Concentration course3.0
 Term Credits9.0
Term 6
Concentration course3.0
 Term Credits6.0
Total Credit: 45.0


In fall 2013, LeBow College opened its 12-story, Gerri C. LeBow Hall, with a finance trading lab, behavioral studies lab and integrated teaching technology in all classrooms. The new building features two lecture halls, 15 classrooms of varying sizes and seating configurations, including case study rooms and cluster classrooms designed to facilitate group work. Other amenities consist of extensive areas of student spaces, including 12 collaboration rooms, two quiet study areas, and 3,500 square feet of student lounges. Gerri C. LeBow Hall brings together faculty, students and staff, in a state of the art building on the University City campus. Please visit the LeBow College of Business webpage to learn more about Gerri C. LeBow Hall.

Business Analytics Faculty

Pramod Abichandani, PhD. Assistant Clinical Professor.
Murugan Anandarajan, PhD (Drexel University) Department Chair, Management; Department Head, Decision Sciences and MIS. Professor. Cyber crime, strategic management of information technology, unstructured data mining, individual internet usage behavior (specifically abuse and addiction), application of artificial intelligence techniques in forensic accounting and ophthalmology.
Orakwue B. Arinze, PhD (London School of Economics). Professor. Client/Server computing; Enterprise Application Software (EAS)/Enterprise Resource Planning Software (ERP); knowledge-based and decision support applications in operations management.
Hande Benson, PhD (Princeton University) Assistant Department Head, Decision Sciences & MIS. Associate Professor. Interior-point methods, Large Scale Optimization, Mathematical Programming, Nonlinear Optimization, Operations and Supply Chain Optimization, Optimization Software, Portfolio Optimization
Qizhi Dai, PhD (University of Minnesota). Associate Professor. Business Value of Information Technology, eCommerce, Economics of Information Technology, Information System Management.
Michaela Draganska, PhD (Kellogg School of Management, Northwestern University) Department of Marketing. Associate Professor. Advertising strategy, product assortment decisions, new product positioning, distribution channels. Marketing analytics and big data, marketing communications, marketing research, marketing strategy, technology and innovation.
Elea Feit, PhD (University of Michigan) Department of Marketing. Assistant Professor. Bayesian hierarchical models, interactive (eCommerce), marketing research, missing data.
David Gefen, PhD (Georgia State University) Provost Distinguished Research Professor. Professor. Strategic IT management; IT development and implementation management; research methodology; managing the adoption of large IT systems, such as MRP II, ERP, and expert systems; research methodology, eCommerce; Online Auctions; Outsourcing; SAS; Technology Adoption.
Merrill W. Liechty, PhD (Duke University). Clinical Professor. Bayesian statistics, portfolio selection, higher moment estimation, higher moment estimation, Markov Chain Monte Carlo
Chuanren Liu, PhD (Rutgers University). Assistant Professor. Data Mining, Decision Models, Risk Assessment, Sequential Analysis.
Bruce D. McCullough, PhD (University of Texas Austin). Professor. Applied Econometrics, Data Mining, Econometric Techniques, Reliability of Statistical and Econometric Software.
Samir Shah, DPS (Pace University). Associate Clinical Professor. Drexel University's Provost Fellow India Partnerships
Chaojiang Wu, PhD (University of Cincinnati). Assistant Professor. Business Analytics, Computational Statistics, Healthcare Analytics, Semiparametric Regression, Statistical Data Mining.
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