Nov 27, 2024  
2005-2006 Graduate Studies Bulletin 
    
2005-2006 Graduate Studies Bulletin [ARCHIVED BULLETIN]

Master of Science Programs


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The Frank G. Zarb School of Business offers programs leading to the Master of Science with majors in the following areas:

  • Accounting
  • Computer Information Systems
  • Finance
  • Human Resources Management
  • Marketing
  • Marketing Research
  • Taxation

Objectives of the Master of Science Programs


  • Provide qualified students who already hold baccalaureate degrees with a professional perspective and an opportunity to gain expertise in a specific field of business. These programs are targeted at those who seek to develop expanded bases of knowledge in a particular area of business, as well as those who may seek a career change from one business discipline to another.
  • Serve individuals with a strong commitment to managerial careers in business, government or the not-forprofit sector who exhibit the potential for leadership in the global business community.
  • Offer M.S. degrees in several functional areas of business.

Admission Criteria


Applicants for admission to the M.S. Programs majoring in either Accounting or Taxation must hold a baccalaureate degree in accounting or the equivalent from an accredited institution. Applicants for admission to the M.S. Programs in Computer Information Systems, Finance, Human Resources Management, Marketing, and Marketing Research must hold a baccalaureate degree from an accredited institution. NOTE: Previous course work is evaluated by the Graduate Programs Office of the Zarb School of Business upon a student’s admission. Students who have not taken the necessary prerequisite courses will be required to do so.

Applicants for admission are required to take the Graduate Management Admission Test (GMAT), which is administered by the Graduate Management Admission Council (GMAC). Applicants are encouraged to take the GMAT well in advance of applying to a graduate program. To schedule an appointment to take the GMAT, applicants may call 1- 800-462-8669 or visit the GMAC Web site at www.mba.com.

Applicants for the M.S. in Taxation Program may substitute the Law School Admissions Test (LSAT) if they are currently enrolled in the Hofstra Law School or have graduated from an ABA accredited law school.

All applications for admission are considered on the basis of their own merits, with weight given to the strength of a student’s previous academic performance, scores obtained on the GMAT, professional experiences indicating increasing levels of responsibility, and any other pertinent information which the candidate for admission may provide to the Committee on Admissions.

Program Requirements - Semester Hours: 30 to 33


Thirty to thirty-three (30-33) semester hours of graduate course work are required for the M.S. degree.

NOTE: These requirements are not inclusive of course prerequisites. Please see actual course descriptions in the Graduate Studies Bulletin for prerequisites.

Component I: Residency Workshops (Zarb School of Business)


These workshops cover library information resources, calculus for business applications, information technology, and statistics for business applications respectively. Full-time students must complete them during the first semester in which they begin an M.B.A. Program. Part-time students must complete them within the first two semesters. Documentation of completion must be submitted to the Graduate Programs Office in order for students to register for the subsequent semester. The calculus for business applications, information technology, and statistics for business applications workshops may be satisfied through previous equivalent undergraduate or graduate course work taken within a specific time frame with a B or better grade at an accredited college or university or through satisfactory performance on a proficiency examination administered by the appropriate department within the Zarb School of Business. Students will receive with their letter of admission information about which residency requirements, if any, have been met through prior course work.

Library Information Resources (No credit)


The following Library Information Resources Workshop is required of all students:

The library information resources workshop ensures that all graduate students establish in their first semester the ability to fully utilize the extensive information, data, and other resources available through the University’s Axinn Library. Since the library’s resources and services are constantly expanding, the information resources workshop is continually updated to reflect the most contemporary and efficient utilization of these resources to enable students to solve business problems and to perform sophisticated business research. This workshop offers extensive coverage of the library’s Lexicat system, access services, reference services, media services, curriculum materials center, government documents, and other resources.

Calculus for Business Application (No Credit)


The following Workshops may be required depending upon academic preparation:

This workshop focuses on a basic overview of calculus required for a better understanding of certain aspects of the business curriculum. Topics include functions, analytic geometry of the plane, differentiation, and integration as applied to business decision making.

Information Technology (No Credit)


This workshop presents an introduction to the use of computer hardware, software, and connectivity in a business environment. Software including spreadsheet modeling, database management, groupware, and Internet tools is covered. Students gain an understanding of computer capabilities and limitations, and the appropriate use of information technology in domestic and global environments.

Statistics for Business Applications (No credit)


This workshop focuses on a basic overview of statistics required for a better understanding of certain aspects of the business curriculum. Topics covered include descriptive statistics, basic probability rules, discrete probability distributions, continuous probability distributions, sampling distributions for the mean, estimation and hypothesis testing for the mean.

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