Business Analytics MSBSAN
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: 30.7102
Standard Occupational Classification (SOC) code: 15-2041; 19-3022; 25-1011; 25-1022
About the Program
The STEM-designated 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 in which students typically apply what they have learned in the curriculum to a real-world business problem.
The program draws upon three traditional areas of business intelligence, which are:
- 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 more information please contact our Graduate Student Services department at lebowgradenroll@drexel.edu.
Admission Requirements
Graduate admission is based on a holistic review process, which takes into consideration prior academic history, demonstration of professional experience and adequate preparation for graduate study. Please review the admission requirements for both domestic and international applicants on our Graduate Application Requirements web page before submitting your application.
Degree Requirements
| Operations Research | ||
| OPR 601 | Managerial Decision Models and Simulation | 3.0 |
| Statistics | ||
| STAT 610 | Statistics for Business Analytics | 3.0 |
| STAT 640 | Predictive Analytics and Machine Learning | 3.0 |
| STAT 645 | Time Series Forecasting | 3.0 |
| Management Information Systems | ||
| MIS 612 | Aligning Information Systems and Business Strategies | 3.0 |
| MIS 632 | Database Analysis and Design for Business | 3.0 |
| MIS 636 | Python Programming for Business Applications | 3.0 |
| Interdisciplinary | ||
| BSAN 615 | Data Visualization & Analytics | 3.0 |
| BSAN 710 | Business Analytics Capstone Project | 3.0 |
| Students Select One Concentration* | 9.0 | |
| Information Systems Concentration | ||
| Select three of the following: | ||
| Systems Analysis & Design | ||
| Inter-Active Decision Support Systems | ||
| MIS Policy and Strategy | ||
| Emerging Information Technologies in Business | ||
| Information Systems Outsourcing Management | ||
| Business Agility and IT | ||
| Design Thinking for Digital Innovations | ||
| Managing with Enterprise Application Software using SAP - Logistics | ||
| Statistics Concentration | ||
| Select three of the following: | ||
| Econometrics | ||
| Time Series Econometrics | ||
| Applied Industrial Analysis | ||
| Customer Analytics | ||
| Marketing Experiments | ||
| Applied Regression Analysis | ||
| Multivariate Analysis | ||
| Quality & Six-Sigma | ||
| Experimental Design | ||
| Advanced Statistical Quality Control | ||
| Modeling Concentration | ||
| Select three of the following: | ||
| Mathematical Economics | ||
| Microeconomics | ||
| Business & Economic Strategy: Game Theory & Applications | ||
| Operations Research I | ||
| Operations Research II | ||
| Advanced Mathematical Program | ||
| System Simulation | ||
| 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* | 6.0 | |
Select two 600-level courses within LeBow. | ||
| Experiential and Career Learning Requirements | ||
| BUSN 615 | Graduate Internship | 3.0 |
| or MGMT 715 | Business Consulting | |
| Total Credits | 45.0 | |
- *
Courses outside LeBow can be substituted with permission from your Program Manager.
Sample Plan of Study
Full-Time:
| First Year | ||
|---|---|---|
| Fall | Credits | |
| MIS 612 | Aligning Information Systems and Business Strategies | 3.0 |
| OPR 601 | Managerial Decision Models and Simulation | 3.0 |
| STAT 610 | Statistics for Business Analytics | 3.0 |
| Credits | 9 | |
| Winter | ||
| BSAN 615 | Data Visualization & Analytics | 3.0 |
| MIS 636 | Python Programming for Business Applications | 3.0 |
| STAT 640 | Predictive Analytics and Machine Learning | 3.0 |
| Credits | 9 | |
| Spring | ||
| MIS 632 | Database Analysis and Design for Business | 3.0 |
| STAT 645 | Time Series Forecasting | 3.0 |
| Elective | 3.0 | |
| Credits | 9 | |
| Summer | ||
| BUSN 615 or MGMT 715 | Graduate Internship or Business Consulting | 3.0 |
| Elective | 3.0 | |
| Credits | 6 | |
| Second Year | ||
| Fall | ||
| BSAN 710 | Business Analytics Capstone Project | 3.0 |
| Elective | 3.0 | |
| Credits | 6 | |
| Winter | ||
| Electives | 6.0 | |
| Credits | 6 | |
| Total Credits | 45 | |
Part-Time:
| First Year (Part-Time) | ||
|---|---|---|
| Fall | Credits | |
| MIS 612 | Aligning Information Systems and Business Strategies | 3.0 |
| STAT 610 | Statistics for Business Analytics | 3.0 |
| Credits | 6 | |
| Winter | ||
| MIS 636 | Python Programming for Business Applications | 3.0 |
| STAT 640 | Predictive Analytics and Machine Learning | 3.0 |
| Credits | 6 | |
| Spring | ||
| MIS 632 | Database Analysis and Design for Business | 3.0 |
| STAT 645 | Time Series Forecasting | 3.0 |
| Credits | 6 | |
| Summer | ||
| BUSN 615 or MGMT 715 | Graduate Internship or Business Consulting | 3.0 |
| OPR 601 | Managerial Decision Models and Simulation | 3.0 |
| Credits | 6 | |
| Second Year (Part-Time) | ||
| Fall | ||
| BSAN 710 | Business Analytics Capstone Project | 3.0 |
| Elective | 3.0 | |
| Credits | 6 | |
| Winter | ||
| BSAN 615 | Data Visualization & Analytics | 3.0 |
| Elective | 3.0 | |
| Credits | 6 | |
| Spring | ||
| Electives | 6.0 | |
| Credits | 6 | |
| Summer | ||
| Elective * | 3.0 | |
| Credits | 3 | |
| Total Credits | 45 | |
- *
Note: This term 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.
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.
Program Level Outcomes
- Will demonstrate the ability to use statistical skills to analyze business phenomena
- Will demonstrate the ability to build, manipulate and draw conclusions from analytical models of business systems
- Will demonstrate skills in big data management
- Will demonstrated the ability to make business decisions and to develop and present business strategy based on quantitative analysis