Lubin School's Quantitative Business Analysis BBA Program

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Lubin has a "Management Science" major for 30+ years. In Fall 2010 it was revamped and renamed as "Quantitative Business Analysis" for which Dr. Janice Kim Winch is Program Chair. The following are the program's main courses that this program can share with other Schools and Colleges.

Quantitative Business Analysis BBA

MGT 225 - Business Applications of Data Analysis
Course Description: This course covers business applications of data analysis and time series forecasting. Students will learn how to use the data to make informed decisions in various functions of business. In addition, students will learn how to make business forecasts based on time series data. Spreadsheets and add-ins will be used for all the analyses.

MGT 353 - Advanced Data Analysis for Business Decisions
Prerequisite: MGT 225 or MAT 117 or MAT 134 or MAT 234, and junior standing.
Course Description: This course covers business applications of advanced data analysis tools. The applications include developing effective marketing strategies, predicting employee turnover, auditing, credit approval decisions and others. The focus of the course is on implementing the techniques using a popular statistical software package and interpreting business implications of the results.

MGT 355 Management Science and Production Mgt. Concepts (3)
Prerequisite: MAT 104 or MAT 137, MAT 117 or MAT 134 or MAT 234, MGT 250 and junior standing.
Course Description: This course acquaints the student with the management science approach to the solution of business problems in general and production problems in particular. Problems involving the business as a whole, as well as such areas as inventory control, production scheduling, quality control and decision analysis are considered. Topics include linear programming, integer programming, queuing theory, decision theory, probability concepts, and simulation.

MGT 356 - Simulation Techniques
Course Description: Properties and classification of simulation models.Statistical sampling ; Monte Carlo Techniques ; discrete , continuous , empirical distributions; simulation languages. Computer simulation of queuing, inventory,and scheduling systems.Students will program ,code and run simulations in BASIC and GPSS.

MGT 357 - Project Management for Business
Prerequisite: MGT 355 and junior standing.
Course Description: This course covers topics in management of business projects. Students will learn the specific skills that are required to effectively manage projects across a variety of business disciplines. The topics include project selection, scope management, team building, cost management, project scheduling, quality management, and risk management. Computer software such as Microsoft Project will be used. After this course, students will be eligible to sit for the Certified Associate in Project Management (CAPM) exam.

MGT 456 - Advanced Operations Research Models
Course Description: This advanced course in operations research is to be taken during the senior year. It is a continuation of the operation research topics introduced in MGT 355. Simplex and revised simplex methods with special emphasis on sensitivity analysis and duality theory are studied. Integer and goal programming are also included. Deterministic and probabilistic models in operations research are covered as well as network models, queuing theory, and nonlinear programming.

MGT 250 - Managerial and Organizational Concepts
Completion of 48 credits required.
Course Description: This course examines basic managerial functions of planning, organizing, motivating, leading, and controlling. Emphasis is also given to the behavior of individual and groups within organizations.

MGT 490 - Business Strategy
Prerequisite: Senior standing in the BBA program and completion of the Business Core.
Course Description: This is an advanced course in management and should be taken as a capstone course during the student's senior year. Utilizing the case approach and an Internet-based business simulation, the student will be required to apply all the concepts of management, accounting, production, marketing, economics, and finance. The course covers a large number of companies engaged in a wide variety of strategic activities. Emphasis is placed on policy formulation, top management decision-making, and the integration of corporate, business-unit and department strategy programs.

CIT 241 Database Management (4)
Course Description: This course deals with the logical and physical organization of databases within and across organizations. Areas to be included are database management, Database management systems, security and integrity controls, ethics and privacy concerns, data description languages, conceptual data modeling and database implementation methods.

CIT 312 Introduction to Programming I (4)
Course Description:Techniques for developing solutions to business and systems problems using the Java programming language. Fundamental data types; flow of control statements; functions; arrays; pointers; strings; bitwise operators; structures and unions; elementary data structures; file I/O; interfacing with the operating system.

CIT 316 Visual Basic Programming (4)
Prerequisite: CIS 101 or CIT 110 or permission of department Chairperson.
Course Description: This class provides an introduction to computer programming logic using the Visual Basic.NET language. This course will give the student a basic understanding of problem solving skills using a computer programming language. Practical experience with programming concepts will be gained through demonstration and hands-on lab exercise. There are several lessons in Game Programming. This course is designed for programmers unfamiliar with ALL of the following: (1) Visual Basic, (2) object-oriented programming, and (3) event driven Windows programming. The goal of this course is to immerse you in all three of these technologies, enabling you to build complete GUI-based object oriented Windows applications in Visual Basic.NET. You will learn application design choices, object-oriented design principles, event driven programming, UI programming using Windows Forms and user interface controls, data binding and database access using SQL and ADO.NET, exception handling, debugging and defensive programming techniques, and effective ways of working with Visual Studio .NET.