Medición del tiempo de ejecución de los procesos de CCM

College: College of Business

Department: Graduate Business Administration Student Type: Graduate

Faculty:

Sharon Borowicz, E.A., Ph.D.

Associate Professor and Department Chair, Department of Graduate Business Administration (2005) B.S., 1982, Elmhurst College; M.B.A., 1992, Roosevelt University; Ph.D., Benedictine University (2003) John C. Draut, M.B.A.

Instructor, Department of Graduate Business Administration (2008)

Program Director, M.S. in Accountancy Program, M.B.A., 1981, DePaul University; B.S., 1970, University of Illinois

Ricky M. Holman, J.D.

Instructor, Department of Graduate Business Administration (2013)

B.S., 1977, George Mason University; J.D, 1988, Thomas M. Cooley Law School Barbara T. Ozog, Ph.D.

Professor and Program Director, Management Information Systems (1992)

B.S., 1977, Loyola University Chicago; M.S., 1979, Ph.D., 1985, Northwestern University Apostolos Xanthopoulos, Ph.D.

Assistant Professor, Department of Graduate Business Administration (2013)

B.B.A., 1985, Kent State University; M.A., 1988, M.B.A., 1989, University of Texas-Arlington; Ph.D., 2009, Illinois Institute of Technology

Thomas Yu, Ph.D.

Assistant Professor, Department of Graduate Business Administration (2008)

B.S., 1971, Montana State University; M.S., 1973, Arizona State University; Ph.D., 1978, Texas A&M University

Academic Administrators:

Susan Stackley, M.S., Associate Director Courtney Hatcher, Program Manager Lecturers:

George Chakrabarty, M.B.A., M.C.P.M., Senior Lecturer Ruth Chen, Ph.D.

Tsun Chow, Ph.D.

Robert A. Dengler, Ph.D. Bryan J. Eckert, M.B.A.

Chris Fernandez, Ph.D.

Ann H. Fulmer, M.S., Senior Lecturer Edwin J. Kocinski, M.B.A., Senior Lecturer William H. Kuglich, M.S.

John Malec, M.A., Senior Lecturer Sam Russo, M.S., M.B.A.

Greg Sellers, Ph.D.

Bernard Silverman, Ph.D., Senior Lecturer Martin Mark Sowa, M.A., M.B.A.

Nathan Patrick Taylor, M.S., M.P.H. James C. Zoda, Ph.D.

The Lecturers listed are individuals who have been employed as instructors on an as-needed basis, within the last several years, to teach courses at Benedictine University. Instructors listed may not currently be employed by Benedictine University. The University is fortunate to be able to provide our students with part-time faculty whose experience, credentials and commitment to education add to the high quality of our resident faculty.

Overview:

The Master of Science (M.S.) in Business Analytics Program at Benedictine University is a new and exciting program. The Business Analytics Program leverages our decades-long expertise. The M.B.A., M.S. in Management Information Systems, M.S. in Management and Organizational

Behavior, and M.S. in Accountancy programs have been preparing professionals for rapid advances in technology, intense global competition, and more complex business environments for as long as 50 years.

The graduate program in business analytics focuses on the skills, technologies, applications, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. It makes extensive use of data, statistical and quantitative analysis,

explanatory and predictive modeling, and fact-based management to drive decision-making. Data- driven companies treat their data as a corporate asset and leverage it for competitive advantage. Examples of business analytics uses include:

 Exploring data to find new patterns and relationships

 Explaining why a certain result occurred

 Simulate business decisions to facilitate business planning and execution

 Forecasting future results

The graduate program in business analytics is appropriate for students in functional business units as well as information technology because it leverages information technology and business thinking to turn data into actionable intelligence. The program is designed for students who have an interest in quantitative methods, exploring and uncovering relationships through data analysis, using data to solve business problems, and want to enter or advance in a career in business analytics.

Benedictine offers an innovative course of professional graduate study that integrates the body of knowledge in business analytics with the student's choice of a concentration, such as Business Administration, Forensic Accounting, Health Care, Management Information Systems, Marketing,

The information contained on this page is from the 2013-2014 Graduate Catalog

and Professional Internship. These concentrations and additional available electives are not only applicable to a student’s profession, but are also key in broadening a student’s perspective. The program's unique philosophy, integrative teaching methods, and commitment to individual development are the basis for the professional achievements of its graduates. This approach gives students the unique opportunity to interact with the larger group of graduate students in all of Benedictine's accountancy, business administration, marketing, management information systems, and public health programs. The exposure to other students with different talents, experiences and job responsibilities is a key element in each student's development of business analytics skills. The educational approach of the program emphasizes practical application of technical tools and management theories to a variety of hypothetical and real-life data problems. Students gain an appreciation of the complexity of challenges associated with business analytics through group

interaction, comprehensive projects, case analysis, research, and active participation in the sharing of individual experiences. It is through this variety of teaching methods that students are prepared to be leaders in the 21st century.

Learning Goals for the M.S. in Business Analytics Program: Students will be expected to:

 Describe data bases, data mining, data warehousing, business intelligence, dashboards, and data visualization

 Construct appropriate business questions

 Construct database queries

 Identify and implement appropriate analyses

 Make informed decisions based on relevant data

 Communicate findings

 Lead project teams Curriculum:

The M.S. in Business Analytics Program requires 64 quarter-hour credits, integrating 36 quarter-hour credits of core courses, 12 quarter-hour credits of elective courses, as well as 16 quarter-hour credits of courses in one of several concentrations: Business Administration, Forensic Accounting, Health Care, Management Information Systems, Marketing, and Professional Internship Program.

The core body of knowledge includes analytical tools for management decisions, business analytics, and analytics for big data. The core also includes database management systems, data mining and business intelligence, data visualization, and data warehousing. Finally, project management and a capstone project course are required.

The student has a choice of a wide range of elective courses. These topics include forensic

accounting, fraud examination, fraud and the legal environment, computer fraud, and information systems auditing. Other electives include business and economic forecasting, operations

management, supply chain management, and strategic managerial communications. Electronic commerce and decision support and knowledge-based systems courses are available, as are courses in organizational behavior and team building. Independent study and internship opportunities are also available.

Our courses are scheduled so that a student may complete the program in two years as a full-time student (eight credit hours per quarter) or a bit longer as a part-time student.

4+1 M.S. in Business Analytics Program:

Well-qualified Benedictine University students who complete an undergraduate degree in business administration, business analytics, business and economics, or computer information systems are eligible to complete the business analytics degree with one additional year (four additional quarters) of full-time graduate study (12 credit hours per quarter). Students in other majors are encouraged to discuss curricular options with the Program Director. The full-time 4+1 Program is developed

specifically for recent college graduates. Admission to the Program is not automatic and an application must be completed during the student's senior year of undergraduate coursework. Business analytics classes are conducted evenings and weekends to meet the needs of students. Professional Internship Program:

Our full-time internship program is developed specifically for recent college graduates and offers a professional internship experience as the program concentration. Students complete 64 credits in business analytics courses, including twelve credits in internship courses. The internship experience is supervised by a faculty advisor to prepare students without significant professional career

experience for their future roles and responsibilities in the workplace. Classes are conducted evenings and weekends to allow for the demands of day-time internships.

Starting the Program:

The academic calendar is organized around four 10-week academic quarters. Students may be admitted for any of these quarters. It is possible to follow either a part-time or full-time program. Because earning your M.S.in Business Analytics degree requires a significant commitment, your initial advising appointment is very important. Each newly-accepted student must schedule an advising appointment before enrolling in your first business analytics course. An advising appointment provides students with important details about their curriculum sequence, establishes an academic plan for program completion, and makes students aware of essential graduate policies and business analytics resources. Business analytics course prerequisites must be met for enrollment in upper-level courses. Contact the Program Manager for the Graduate Business Administration Department at (630) 829-6220 to schedule your advising appointment. Many factors are weighed in assessing an applicant; there is no set admission formula and no predetermined cut-off point for test scores. Applicants who have not completed college algebra within the past seven years may be required to demonstrate math proficiency or participate in MBA 400, Mathematics Review.

Business Analytics Core (36 credits):

The business analytics core is common across all concentrations: MBA 541 Analytical Tools for Management Decisions (4) MIS/MSBA 659 Business Analytics (4)

MIS 674 Database Management Systems (4)

MIS/MSBA 663 Data Mining, Text Mining and Business Intelligence (4) MSBA 685 Data Visualization (4)

The information contained on this page is from the 2013-2014 Graduate Catalog