Business and Engineering

Major: Business and Engineering
Degree Awarded: Bachelor of Science in Business and Engineering (BSBE)
Calendar: Quarter
Total Credit Hours: 182.0
Classification of Instructional Programs (CIP) code: 52.0101
Standard Occupational Classification (SOC) code: 11-1021

 

About the Program

The major in business and engineering combines two of Drexel's most exciting programs, linking business and engineering to provide students with expertise in both fields.

The program contains a curriculum combining coursework in both business and engineering, enabling graduates to work successfully in technically oriented business positions. Students complete a set of broad functional business core courses along with a firm foundation in science, mathematics, and engineering. Students also study quantitative decision making within a business context, technology innovation management, and operations management. They complete a minor in business as well as a concentration in engineering. Graduates of this program will be well prepared to participate in innovative technological efforts in business.

The major gives students the opportunity to learn important concepts in functional business areas such as accounting, economics, finance, information systems, law, marketing, organizational behavior, operations, and statistics.


Mission

The Bachelor of Science in Business and Engineering program provides students the opportunity to:

  • Learn important concepts in functional business areas such as accounting, economics, finance, information systems, law, marketing, organizational behavior, operations, and statistics.
  • Study in more depth the areas of operations, technology innovation management, and other functional business areas.
  • Complete a course of studies in an engineering discipline after completing a firm foundation in science and mathematics.
  • Develop skills in technical communication and critical reasoning.
  • Study ethical issues faced by managers and engineers, and understand technology from a historical perspective.
  • Apply acquired skills in co-op work experiences to further enhance their knowledge base.
  • Study entrepreneurship from a management and finance perspective for preparation in innovative technological efforts.
  • Learn the operational aspects of business operations to improve the functioning of technically oriented businesses.

About the Business Minors

All Business and Engineering students are required to complete a business minor under the curriculum, and they will have the ability to choose from any of the business minors that are currently offered by the LeBow College of Business.

About the Engineering Concentrations

All Business and Engineering students are required to complete an engineering concentration under the curriculum, and they will have the ability to choose from the following:

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Computer Engineering
  • Mechanical Engineering
  • General Engineering

Additional Information

For additional information about the program or to schedule an appointment, please contact the Department of Decision Sciences and MIS.

Degree Requirements 

General Education Requirements
COM 310 [WI] Technical Communication (WI)3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
ENGR 231Linear Engineering Systems3.0
ENGR 232Dynamic Engineering Systems3.0
MATH 121Calculus I4.0
MATH 122Calculus II4.0
MATH 200Multivariate Calculus4.0
PHIL 105Critical Reasoning3.0
Select one of the following:3.0-4.0
Technology in Historical Perspective
Business Ethics
Engineering Ethics
UNIV B101 [WI] The Drexel Experience1.0
UNIV B201Career Management1.0
Science and Computing Requirements
CHEM 101General Chemistry I3.5
CHEM 102General Chemistry II4.5
PHYS 101Fundamentals of Physics I4.0
PHYS 102Fundamentals of Physics II4.0
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 201Introduction to Technology Innovation Management4.0
MGMT 450Strategy and Competitive Advantage4.0
MIS 200Management Information Systems4.0
MKTG 201Introduction to Marketing Management4.0
OPM 321Planning and Control of Operations4.0
ORGB 300 [WI] Organizational Behavior (WI)4.0
STAT 205Statistical Inference I4.0
STAT 206Statistical Inference II4.0
Business and Engineering Focus
Quantitative Decision Making in Business
OPR 320Linear Models for Decision Making4.0
Select one of the following:4.0
Customer Analytics
Data-Driven Digital Marketing
Advanced Decision Making and Simulation
Six-Sigma Quality Implementation
Introduction to Data Mining for Business
Technology Innovation Management
Select one of the following:4.0
Designing Innovative Organizations
Competing in Technology Industries
Technology Management
Introduction to Enterprise Application Software Using SAP - Logistics
Operations Management
Select one of the following:4.0
Information System Project Management
Service Operations Management
Advanced Planning and Control of Operations
Engineering Requirements
ENGR 101Engineering Design Laboratory I2.0
ENGR 102Engineering Design Laboratory II2.0
ENGR 103Engineering Design Laboratory III2.0
ENGR 121Computation Lab I2.0
ENGR 122Computation Lab II1.0
ENGR 220Fundamentals of Materials4.0
Business Minor *16.0-20.0
Engineering Concentration **15.0-16.0
Total Credits182.0-188.0
*

Students must take 4-5 LeBow courses to complete the requirements of a business minor. Students must select a minor from the following list:

  • Accounting
  • Economics
  • Entrepreneurship
  • Finance
  • International Economics
  • Legal Studies
  • Management Information Systems
  • Marketing
  • Operations & Supply Chain Management
  • Technology Innovation Management
**

 Students must select an engineering concentration and complete all five courses required for it:


Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Center. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

Sample Plan of Study

Term 1Credits
BUSN 101Foundations of Business I4.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGR 101Engineering Design Laboratory I2.0
ENGR 121Computation Lab I2.0
MATH 121Calculus I4.0
UNIV B101 [WI] The Drexel Experience1.0
 Term Credits16.0
Term 2
BUSN 102Foundations of Business II4.0
CHEM 101General Chemistry I3.5
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
ENGR 102Engineering Design Laboratory II2.0
ENGR 122Computation Lab II1.0
MATH 122Calculus II4.0
 Term Credits17.5
Term 3
CHEM 102General Chemistry II4.5
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
ENGR 103Engineering Design Laboratory III2.0
MATH 200Multivariate Calculus4.0
PHYS 101Fundamentals of Physics I4.0
 Term Credits17.5
Term 4
ACCT 115Financial Accounting Foundations4.0
ENGR 231Linear Engineering Systems3.0
PHYS 102Fundamentals of Physics II4.0
STAT 205Statistical Inference I4.0
 Term Credits15.0
Term 5
ACCT 116Managerial Accounting Foundations4.0
ENGR 232Dynamic Engineering Systems3.0
MIS 200Management Information Systems4.0
STAT 206Statistical Inference II4.0
 Term Credits15.0
Term 6
ECON 201Principles of Microeconomics4.0
ENGR 220Fundamentals of Materials4.0
OPM 321Planning and Control of Operations4.0
OPR 320Linear Models for Decision Making4.0
 Term Credits16.0
Term 7
ECON 202Principles of Macroeconomics4.0
FIN 301Introduction to Finance4.0
MKTG 301Introduction to Marketing Management4.0
Engineering Concentration*3.0
 Term Credits15.0
Term 8
COM 310 [WI] Technical Communication3.0
MGMT 201Introduction to Technology Innovation Management4.0
ORGB 300 [WI] Organizational Behavior4.0
PHIL 105Critical Reasoning3.0
Engineering Concentration*3.0
 Term Credits17.0
Term 9
Select one of the following:3.0
Technology in Historical Perspective 
Business Ethics 
Engineering Ethics 
BLAW 201Business Law I4.0
INTB 200International Business4.0
Engineering Concentration*3.0
 Term Credits14.0
Term 10
Select one of the following:4.0
Customer Analytics 
Data-Driven Digital Marketing 
Advanced Decision Making and Simulation 
Six-Sigma Quality Implementation 
Introduction to Data Mining for Business 
Engineering Concentration*3.0
Business Minor*4.0
UNIV B201Career Management1.0
 Term Credits12.0
Term 11
Select one of the following:4.0
Designing Innovative Organizations 
Competing in Technology Industries  
Technology Management 
Introduction to Enterprise Application Software Using SAP - Logistics 
Select one of the following:4.0
Information System Project Management 
Service Operations Management 
Advanced Planning and Control of Operations 
Engineering Concentration*3.0
Business Minor*4.0
 Term Credits15.0
Term 12
MGMT 450Strategy and Competitive Advantage4.0
Business Minor*8.0
 Term Credits12.0
Total Credit: 182.0
*

See degree requirements.


Decision Sciences Faculty

Pramod Abichandani, PhD (Drexel University). Assistant Teaching Professor. Optimal, multi-dimensional, data-driven decision-making, through the use of techniques from mathematical programming, linear and nonlinear systems theory, statistics, and machine learning.
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). 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). 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). 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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