Business Analytics

Bachelor of Science in Business Administration (BSBA): 180.0 quarter credits.
The Business Analytics program is a  "co-major"

About the Program

As the digital revolution continues to evolve there is a greater need for data driven decision-making in business. Business analytics helps companies speed up and improve their decision-making processes, which potentially yields greater efficiency in all aspects of the organization.

Business analytics is the integration of data management, mathematical modeling, and statistical analysis to support data driven decision-making processes across the various functional areas of business. The business analytics major at LeBow consists of basic courses in statistics, operations research, and management information systems as well as advanced courses in management information systems, statistics/econometrics, and modeling.

Because students in this major are required to choose a co-major in one of the functional areas of business, the curriculum enables students to tailor the program to their interests and anticipated career path.

Students complete the business analytics major in conjunction with one of the following co-majors: 

  • Accounting
  • Entrepreneurship
  • Finance
  • Legal Studies
  • Management Information Systems
  • Marketing
  • Operations & Supply Chain Management


An additional distinguishing feature of the business analytics major is the required senior project (BUSN 460) where students work in small teams on real business analytics projects from LeBow College’s corporate partners. The projects require students to bring together all the key elements of the business analytics curriculum to derive business insights for a company’s current business challenges. Experiencing this data driven decision-making process is invaluable career preparation.

 Degree Requirements

General Education Requirements
COM 270 [WI] Business Communication3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGL 102Composition and Rhetoric II: The Craft of Persuasion3.0
ENGL 103Composition and Rhetoric III: Thematic Analysis Across Genres3.0
MATH 101Introduction to Analysis I4.0
MATH 102Introduction to Analysis II4.0
PHIL 105Critical Reasoning3.0
PSY 101General Psychology I3.0
UNIV B101 [WI] The Drexel Experience2.0
English Literature elective3.0
Fine Arts elective3.0
History elective3.0
Science Requirement6.0
Select two courses from the following:
Applied Cells, Genetics & Physiology
Applied Biological Diversity, Ecology & Evolution
Applied Chemistry
Applied Physics
General Education electives *21.0
Business Requirements
ACCT 115Financial Accounting Foundations4.0
ACCT 116Managerial Accounting Foundations4.0
BLAW 201Business Law I4.0
BUSN 101Foundations of Business I4.0
BUSN 102Foundations of Business II4.0
ECON 201Principles of Microeconomics4.0
ECON 202Principles of Macroeconomics4.0
FIN 301Introduction to Finance4.0
INTB 200International Business4.0
MGMT 450Strategy and Competitive Advantage4.0
MIS 200Management Information Systems4.0
MKTG 301Introduction to Marketing Management4.0
OPM 200Operations Management4.0
ORGB 300 [WI] Organizational Behavior4.0
STAT 201Introduction to Business Statistics4.0
STAT 202Business Statistics II4.0
Primary Major Courses **32.0
Business Analytics Requirements
BUSN 460Business Analytics Senior Project4.0
MIS 343Database Design and Implementation4.0
MIS 349Predictive Business Analytics with Relational Database Data4.0
OPR 320Linear Models for Decision Making4.0
Advanced Statistics Course
Select one of the following:4.0
Applied Econometrics
Introduction to Data Mining for Business
Introduction to Experimental Design
Advanced Modeling Course
Select one of the following:4.0
Microeconomics
Customer Analytics
Advanced Decision Making and Simulation
Total Credits184.0

*

 Students select seven (21.0 credits) of additional general education electives with a minimum of one course in each of the following categories:

  • Society and Culture (Communication, English, Fine Arts, International Area Studies, Language, Philosophy)
  • Social Science (Anthropology, History, Sociology, Political Science, Psychology)
  • Math and Science (Computer Science, Information Systems, Math, Science)
**

 Students completing the Business Analytics co-major must do so in conjunction with a primary business major.  Students must select a primary major from the following list:

  • Accounting
  • Entrepreneurship
  • Finance
  • Legal Studies
  • Management Information Systems
  • Marketing
  • Operations & Supply Chain Management

Sample Plan of Study


Term 1Credits
BUSN 101Foundations of Business I4.0
ECON 201Principles of Microeconomics4.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
MATH 101Introduction to Analysis I4.0
UNIV B101 [WI] The Drexel Experience1.0
 Term Credits16.0
Term 2
BUSN 102Foundations of Business II4.0
ECON 202Principles of Macroeconomics4.0
ENGL 102Composition and Rhetoric II: The Craft of Persuasion3.0
MATH 102Introduction to Analysis II4.0
 Term Credits15.0
Term 3
ACCT 115Financial Accounting Foundations4.0
ENGL 103Composition and Rhetoric III: Thematic Analysis Across Genres3.0
PSY 101General Psychology I3.0
Select one of the following:3.0
Applied Cells, Genetics & Physiology
Applied Biological Diversity, Ecology & Evolution
 
Applied Chemistry 
Applied Physics 
General Education elective3.0
 Term Credits16.0
Term 4
ACCT 116Managerial Accounting Foundations4.0
BLAW 201Business Law I4.0
COM 270 [WI] Business Communication3.0
STAT 201Introduction to Business Statistics4.0
 Term Credits15.0
Term 5
INTB 200International Business4.0
STAT 202Business Statistics II4.0
MIS 200Management Information Systems4.0
Select one of the following:3.0
Applied Biological Diversity, Ecology & Evolution
Applied Cells, Genetics & Physiology
 
Applied Chemistry 
Applied Physics 
 Term Credits15.0
Term 6
Any 200-399 English (ENGL) course3.0
FIN 301Introduction to Finance4.0
MKTG 301Introduction to Marketing Management4.0
OPM 200Operations Management4.0
 Term Credits15.0
Term 7
MIS 343Database Design and Implementation4.0
ORGB 300 [WI] Organizational Behavior4.0
PHIL 105Critical Reasoning3.0
Primary Major Course 1*4.0
 Term Credits15.0
Term 8
History elective3.0
OPR 320Linear Models for Decision Making4.0
Primary Major Course 2*4.0
Science elective3.0
 Term Credits14.0
Term 9
Society and Culture elective3.0
Primary Major Course 3*4.0
Primary Major Course 4*4.0
MIS 349Predictive Business Analytics with Relational Database Data4.0
 Term Credits15.0
Term 10
Fine Arts elective3.0
UNIV B201Career Management1.0
Select one of the following advanced statistic courses:4.0
Introduction to Data Mining for Business 
Introduction to Experimental Design  
Applied Econometrics 
Primary Major Course 5*4.0
General education elective3.0
 Term Credits15.0
Term 11
Primary Major course 7*4.0
Primary Major Course 6*4.0
MGMT 450Strategy and Competitive Advantage4.0
Advanced modeling course - Select one of the following:4.0
Advanced Decision Making and Simulation 
Customer Analytics 
Microeconomics 
 Term Credits16.0
Term 12
Primary Major course 8*4.0
Social Science elective3.0
General education elective3.0
General education elective3.0
BUSN 460Business Analytics Senior Project4.0
 Term Credits17.0
Total Credit: 184.0

 

*

See degree requirements for a list of business majors that may be completed in conjunction with the business analytics major.


 

Decision Sciences Faculty

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. Supply chain management; operations planning and scheduling; inventory control.
Hande Yurttan Benson, PhD (Princeton University) Department of Decision Sciences. Associate Professor. Nonlinear optimization, interior-point methods.
Oben Ceryan, PhD (University of Michigan Ann Arbor) Department of Decision Sciences. Assistant Professor. Pricing revenue management; inventory control; production planning and control supply chain management.
Neil Desnoyers, MS (Drexel University) Department of Decision Sciences. Assistant Clinical Professor. Decision sciences.
Seung-Lae Kim, PhD (Penn State University) Department of Decision Sciences. Professor. Production planning and control; inventory control; Just-In-Time (JIT) and Supply Chain Management (SCM).
Benjamin Lev, PhD (Case Western Reserve University) Department Head, Department of Decision Sciences. Professor. Operations research/management science, statistics, applications, engineering management.
Merrill W. Liechty, PhD (Duke University) Department of Decision Sciences. Associate Clinical Professor. Bayesian statistics, portfolio selection, higher moment estimation.
Arunkumar Madapusi, PhD (University of North Texas Denton) Department of Decision Sciences. Assistant Clinical Professor. Manufacturing technology development; quality management; supply chain management; interface with information systems.
Hazem Diab Maragah, PhD (Louisiana University) Department of Decision Sciences. Associate Professor. Statistical quality control, total equity management, applied statistics.
Bruce D. McCullough, PhD (University of Texas) Department of Decision Sciences. Professor. Applied econometrics; reliability of statistical and econometric software; business data mining.
Thomas P. McWilliams, PhD (Stanford University) Department of Decision Sciences. Professor. Statistical quality control; sequential analysis.
Fariborz Y. Partovi, Ph.D. (The Wharton School, University of Pennsylvania) Department of Decision Sciences. Professor. The use of analytical hierarchy process and quality function deployment for strategic decisions in manufacturing and service organizations.
Wenjing Shen, PhD (University of Michigan) Department of Decision Sciences. Assistant Professor. The interface of operations management and marketing; inventory management; supply chain management.
Min Wang, PhD (Columbia University) Department of Decision Sciences. Assistant Professor.

Emeritus Faculty

Robert E. Laessig, PhD (Cornell University) Department of Decision Sciences. Professor Emeritus. Management systems integration.
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