Business Analytics

Major: Business Analytics
Degree Awarded: Master of Science in Business Analytics (MSBSAN)
Calendar Type: Quarter
Minimum Required Credits: 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 includes a capstone course where students apply what they have learned in the curriculum, typically to a real-world business problem.

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

Additional Information

For more 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
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 632Database Analysis and Design for Business3.0
MIS 636Python Programming for Business Applications3.0
BSAN 615Data Visualization & Analytics3.0
BSAN 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
Predictive Business Analytics with Relational Database Data
Advanced Business Analytics with Relational Database Data
MIS Policy and Strategy
Emerging Information Technologies in Business
Management of Health Care Info Systems
Information Systems Outsourcing Management
Business Agility and IT
Design Thinking for Digital Innovations
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
Customer Analytics
Marketing Experiments
Applied Regression Analysis
Quality & Six-Sigma
Experimental Design
Advanced Statistical Quality Control
Time Series Forecasting
Modeling Concentration
Select three of the following:
Mathematical Economics
Business & Economic Strategy: Game Theory & Applications
Operations Research I
Operations Research II
Advanced Mathematical Program
System Simulation
Decision Models for the Public Sector
OR Models in Finance
Supply Chain Analytics
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*6.0
Select two 600-level courses within LeBow.
Experiential Learning Requirement
BUSN 615Graduate Internship3.0
or MGMT 715 Business Consulting
Total Credits45.0

 Courses outside LeBow can be substituted with permission from your Program Manager.

Sample Plan of Study

First Year
MIS 6123.0BSAN 6153.0MIS 6323.0Experiential Learning Requirement3.0
OPR 6013.0MIS 6363.0STAT 6303.0 
STAT 6103.0STAT 6423.0Elective3.0 
 9 9 9 3
Second Year
BSAN 7103.0Electives6.0  
 9 6  
Total Credits 45

Note: First Year Summer is less than the 4.5-credit minimum required (considered half-time status) of graduate programs to be considered financial aid eligible. As a result, aid will not be disbursed to students this term.


The 12-story, 177,500-square-foot home for LeBow College of Business is located at the heart of the Drexel University campus, at the intersection of Woodland Walk and Market Street, where it forms a gateway to Drexel and a backdrop to the historic statue of A. J. Drexel (Moses Ezekiel, 1904). The diagonal massing of the lower floors follows Woodland Walk and combines with the new Papadakis Integrated Sciences Building (Diamond & Schmitt, 2011) to energize the University’s central quadrangle. The building’s tower will mark the LeBow College and Drexel campus from all directions while the open, glassy Market Street façade will showcase the College’s student activities to passersby.

The building’s organization unites the school’s various constituencies around a five-story-high atrium ringed by classrooms, student lounges, events spaces, and offices. The atrium is immediately accessible from main entrances at the three corners of the building. An open stair within the atrium leads to a 300-seat auditorium and 100-seat lecture hall one floor below and to a divisible multipurpose room and additional classrooms above. The building’s upper floors contain faculty offices interspersed with seminar rooms and group study rooms. The top floor houses the Dean’s suite and a boardroom and conference suite that opens to east- and west-facing terraces.

The building’s warm masonry and glass exterior reflects the emerging vocabulary of the next generation of Drexel buildings. Sophisticated solar shading devices allow maximum transparency between the inside and outside while supporting the building’s high environmental aspirations.

Key Building Features

  • Five-story atrium
  • Finance trading lab with Bloomberg Terminal Room
  • 300-seat auditorium
  • 160-seat event space
  • 100-seat lecture hall
  • 45-seat seminar rooms
  • 44-seat computer classrooms
  • 60-seat classrooms
  • Executive MBA classroom
  • 24-seat classrooms
  • Special areas for experiential learning simulations and business consulting
  • Videoconferencing capabilities
  • Integrated teaching technology in all classrooms
  • Recording studio to support LeBow College’s online programs
  • Extensive areas for students to gather socially and for collaborative study, including student collaboration rooms, two quiet study areas, and 3,500 square feet of student social space
  • EMBA Alumni Lounge for the exclusive use of EMBA alumni
  • Behavioral Studies Lab
  • Starbucks
  • Green Globe certifiable, meeting worldwide sustainability standards

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, the Behavioral Lab webpage, and the Finance Trading Lab webpage to learn more about Gerri C. LeBow Hall.

Business Analytics Faculty

Murugan Anandarajan, PhD (Drexel University) Senior Associate Dean for Academic Affairs. 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.
Edward Arnheiter, PhD (University of Massachusetts, Amherst) Department of Decision Sciences. Clinical Professor. Quality implementation and management, supply chain, statistical quality control, six sigma.
Avijit Banerjee, PhD (The Ohio State University) Department of Decision Sciences. Professor. Interface with Marketing, Pricing Revenue Management, Inventory Control, Operations Planning and Scheduling, Production Planning and Control, Supply Chain Management
Hande Benson, PhD (Princeton University). Professor. Interior-point methods, Large Scale Optimization, Mathematical Programming, Nonlinear Optimization, Operations and Supply Chain Optimization, Optimization Software, Portfolio Optimization
Muge Capan, PhD (North Carolina State University). Associate Clinical Professor. Department of Decision Sciences & MIS. Data science, industrial engineering, predictive analytics in health care systems.
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.
Christopher Gaffney, PhD (Rutgers University, New Brunswick). Assistant Clinical Professor. Applied Probability, Decision Theory, Risk Analysis
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.
Chelsey Hill, PhD (Georgia State University). Assistant Clinical Professor. Department of Decision Sciences & MIS. Structural topic modeling, data quilting, knowledge diffusion.
Jinwook Lee, PhD (Rutgers University, New Brunswick). Assistant Professor. Decision Models, Mathematical Programming, Risk Assessment Stochastic Optimization, Stochastic Processes.
Merrill W. Liechty, PhD (Duke University). Clinical Professor. Bayesian statistics, portfolio selection, higher moment estimation, higher moment estimation, Markov Chain Monte Carlo
Arjan Raven, PhD (University of Southern California). Associate Clinical Professor. Department of Decision Sciences & MIS. Neuro-Information-Systems, task-technology fit, web-based
Matthew Schneider, PhD (Cornell University). Assistant Professor. Department of Decision Sciences & MIS. Data privacy, forecasting, time series.
Samir Shah, DPS (Pace University). Clinical Professor. Drexel University's Provost Fellow India Partnerships
Min Wang, PhD (Columbia University) Department of Decision Sciences. Associate Clinical Professor. Healthcare Operations Management, Inventory Control, Production Planning and Control, Service Management, Supply Chain Management
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