Business Analytics

Co-Major: Business Analytics
Degree Awarded: Bachelor of Science in Business Administration (BSBA)
Calendar Type: Quarter
Total Credit Hours: 186.0
Co-op Options: Three Co-op (Five years); One Co-op (Four years); No Co-op (Four years)
Classification of Instructional Programs (CIP) code: 52.1301
Standard Occupational Classification (SOC) code: 11-1021

The Business Analytics program is a  "co-major"

About the Program

How does a company design an effective social media campaign for its brand new product? How does a bank make credit card offers or detect fraud? How does a chain store stock its shelves with just the right products at the right price? Technology has made it possible to collect, store, process and analyze massive data sets that can help businesses make better decisions. However, there remains a gap that can only be filled by those with a background in business analytics. From the junior analyst providing daily reports on production to the CEO seeking to transform his or her business, all are looking for guidance and talent in business analytics.

LeBow students are uniquely positioned to address descriptive, diagnostic, predictive, prescriptive and pre-emptive questions across the business analytics lifecycle from the corporate generation of data through the application and impact on managerial and leadership decision-making and innovation.

Ranked second in a Computerworld survey on the most difficult skills to find, Business Analytics expertise is not only scarce, but in demand. McKinsey Global Institute reports that the United States could face a shortage of between 140,000 and 190,000 individuals who possess Business Analytics skills and an additional 1.5 million managers with the skills to implement the results.

Example business analytics jobs include, BA Strategy Consultants, Business Intelligence and Performance Management Consultants, Advanced Analytics, Optimization Consultants.

Because students in this co-major are required to choose a 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 co-major in conjunction with one of the following majors: 

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


An additional distinguishing feature of the business analytics co-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
CIVC 101Introduction to Civic Engagement1.0
COM 270 [WI] Business Communication3.0
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
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 elective4.0
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 201Introduction 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 260Introduction to Business Analytics4.0
BUSN 460Business Analytics Senior Project4.0
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
Customer Analytics
Data-Driven Digital Marketing
Advanced Modeling Course
Select one of the following:4.0
Microeconomics
Advanced Decision Making and Simulation
Total Credits186.0
*

 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
  • Technology and Innovation 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: Advanced Research and Evidence-Based Writing3.0
MATH 102Introduction to Analysis II4.0
 Term Credits15.0
Term 3
ACCT 115Financial Accounting Foundations4.0
CIVC 101Introduction to Civic Engagement1.0
ENGL 103Composition and Rhetoric III: Themes and 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 Credits17.0
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
MIS 200Management Information Systems4.0
STAT 202Business Statistics II4.0
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 201Introduction 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*4.0
 Term Credits15.0
Term 8
OPR 320Linear Models for Decision Making4.0
History elective4.0
Primary Major Course*4.0
Science elective3.0
 Term Credits15.0
Term 9
MIS 349Predictive Business Analytics with Relational Database Data4.0
Society and Culture elective3.0
Primary Major Courses*8.0
 Term Credits15.0
Term 10
UNIV B201Career Management1.0
Select one of the following advanced statistic courses:4.0
Applied Econometrics 
Introduction to Data Mining for Business 
Introduction to Experimental Design  
Primary Major Course*4.0
Fine Arts elective3.0
General education elective3.0
 Term Credits15.0
Term 11
MGMT 450Strategy and Competitive Advantage4.0
Advanced modeling course - Select one of the following:4.0
Microeconomics 
Customer Analytics 
Advanced Decision Making and Simulation 
Primary Major courses*8.0
 Term Credits16.0
Term 12
BUSN 460Business Analytics Senior Project4.0
Primary Major course*4.0
Social Science elective3.0
General education elective6.0
 Term Credits17.0
Total Credit: 186.0
*

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


 

Requirements

  • No more than 2 courses or 8.0 credits required by a student’s major may be counted towards this minor.
  • A grade of “C” (2.0) or better must be earned for each course in this minor for it to be counted.
  • No more than two transfer courses may be used to complete this minor. Transfer credits must be taken before matriculated at Drexel.
  • Students should check the pre-requisites of all classes when selecting electives. It is the responsibility of the student to know pre-requisites.
  • Business administration, business & engineering and economic students may complete any of the business minors, including: economics, finance, international economics, legal studies, management information systems, marketing, organizational management, technology innovation management, and operations & supply chain management. 
  • Cannot do a major and a minor in the same field of study. 

All prospective students should meet with an advisor from the College as soon as possible. Call 215.895.2110 to set up an appointment.

Minor in Business Analytics

How does a company design an effective social media campaign for its brand new product? How does a bank make credit card offers or detect fraud? How does a chain store stock its shelves with just the right products at the right price? Technology has made it possible to collect, store, process and analyze massive data sets that can help businesses make better decisions. However, there remains a gap that can only be filled by those with a background in business analytics. From the junior analyst providing daily reports on production to the CEO seeking to transform his or her business, all are looking for guidance and talent in business analytics.

LeBow students are uniquely positioned to address descriptive, diagnostic, predictive, prescriptive and pre-emptive questions across the business analytics lifecycle from the corporate generation of data through the application and impact on managerial and leadership decision-making and innovation.

Ranked second in a Computerworld survey on the most difficult skills to find, Business Analytics expertise is not only scarce, but in demand. McKinsey Global Institute reports that the United States could face a shortage of between 140,000 and 190,000 individuals who possess Business Analytics skills and an additional 1.5 million managers with the skills to implement the results.

The Business Analytics minor 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. The curriculum enables students to tailor the program to their interests and anticipated career path.

One of the distinguishing features of the business analytics minor 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.

BUSN 260Introduction to Business Analytics4.0
MIS 349Predictive Business Analytics with Relational Database Data4.0
OPR 320Linear Models for Decision Making4.0
BUSN 460Business Analytics Senior Project4.0
Advanced Statistics Courses (select one of the following):4.0
Applied Econometrics
Introduction to Data Mining for Business
Customer Analytics
Data-Driven Digital Marketing
Introduction to Experimental Design
Advanced Modeling Course (select one of the following):4.0
Microeconomics
Advanced Decision Making and Simulation
Total Credits24.0

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.
  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees
LEARN MORE