Department of Statistics and Computer Information Systems
- Faculty
- Field Description
- The Majors and Courses
- The Minors and Courses
- Department of Statistics and Computer Information Systems Web Site
Chair: Albert E. Croker
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Professors:
- Ann Brandwein
- Albert E. Croker
- M. Barry Dumas
- Hammou El Barmi
- Martin Frankel
- Linda W. Friedman
- Shulamith Gross
- Kari Reiner Lang
- Michael Palley
- Abdullah Uz Tansel
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Associate Professors:
- Raquel Benbunan-Fich
- William Ferns
- Elsie S. Gottlieb
- Arie Harel
- Richard Holowczak
- Matthew Johnson
- Marios Koufaris
- Nanda Kumar
- Pai-Chun Ma
- Yitzchak P. Sabban
- Isak Taksa
- Lawrence Tatum
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Assistant Professors:
- Radhika Jain
- Dobrin Marchev
- Kannan Mohan
- Ronald Neath
- Roumen Vragov
- Rongning Wu
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Lecturer:
- Robert Blau
- Morris Schwartz
The department offers courses in the areas of computer information systems (CIS), operations research, and statistics. Courses in each of these areas provide training in problemsolving techniques useful in gaining strategic advantage in the marketplace. CIS students are afforded the opportunity to gain a strong foundation in the business, managerial, and technical issues related to information systems with courses in programming, data management, telecommunications, the Internet and e-commerce, and the analysis and design of computer-based solutions to business problems. Operations research trains students in the application of mathematical models and decision making for business, industry, and government with an emphasis on modeling methods, analysis, and implementation relevant to operational and management planning issues. Statistics students are provided with a skills base for the application of statistical techniques and tools to a wide variety of areas, including computational statistics, sample survey, experimental design, and quantitative methods in marketing.
- General Information
- Computer Information Systems
- Quantitative Methods and Modeling
- Statistics and Quantitative Modeling: BBA Major
- Statistics: BA Major
The Department of Statistics and Computer Information Systems offers majors in the fields of computer information systems, quantitative methods and modeling, and statistics.
The computer information systems major prepares professionals in the development and use of computer-based technologies to develop systems that fulfill business information needs. Baruch’s program trains students to analyze business needs and to design, implement, and use information systems to satisfy those needs.
The operations research area coordinates the quantitative methods and modeling major that provides basic preparation for students who wish to pursue careers in the decision sciences. The area also provides fundamental quantitative knowledge required by those who major in other business areas. Quantitative methods and modeling majors will develop interdisciplinary skills that will provide them with the technical versatility required to succeed in today’s business environment. Emphasis is placed on modeling methods, analysis, and implementation relevant to operational and management planning issues in many business areas, including marketing, production, finance, accounting, and information technology.
The statistics area not only provides the basic preparation for students who wish to pursue careers in statistics but also provides the quantitative knowledge required by those who major in other business areas. Statistics majors (both BBA majors and BA majors) are provided with the base for the application of statistical techniques to a wide variety of fields.
The CIS program provides a strong foundation in the business and managerial issues related to information systems. Computer information systems are presented in light of their role as tools for strategic advantage in the marketplace. To facilitate this, course offerings provide computer, technological, and problem - solving skills. The CIS program addresses such areas as CASE (computer-assisted software engineering), networks and telecommunications, electronic commerce, the Internet, client-server technology, and object-oriented technologies.
| Prerequisite Courses | ||
| Completion of BBA math requirements | 4-6 credits | |
| STA 2000 | Business Statistics I | 3 credits |
| CIS 2200 | Introduction to Information Systems and Technologies | 3 credits |
Required Courses 12 credits |
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| CIS 3100 | Object-Oriented Programming I | 3 credits |
| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 4800 | Systems Analysis and Design | 3 credits |
| CIS 5800 | Information Technology Development and Project Management | 3 credits |
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| CIS 3367 | Spreadsheet Applications in Business | 3 credits |
| CIS 3444 | E-Business Technologies | 3 credits |
| CIS 3500 | Networks and Telecommunications I | 3 credits |
| CIS 3630 | Principles of Web Design | 3 credits |
| CIS 4100 | Object-Oriented Programming II | 3 credits |
| CIS 4150 | Internet Applications Development | 3 credits |
| CIS 4350 | Computer Control and Audit | 3 credits |
| CIS 4400 | Database Management Systems II | 3 credits |
| CIS 4500 | Networks and Telecommunications II | 3 credits |
| CIS 4550 | Networked Information Systems Security |
3 credits |
| CIS 4610 | Expert (Knowledge-Based) Systems and Related Technologies | 3 credits |
| CIS 4620 | Financial Information Technologies |
3 credits |
| CIS 4650 | Operating Systems Concepts | 3 credits |
| CIS 4670 | Special Topics in Computer Information Systems | 3 credits |
| OPR 3300 | Quantitative Methods for Accounting |
3 credits |
| OPR 3450 |
Quantitative Decision Making for Business I |
3 credits |
Quantitative Methods and Modeling
The quantitative methods and modeling major is designed to develop quantitative thinking skills that are invaluable in business. The program focuses extensively on mathematical modeling and computer implementation issues applied to business. Students take courses from a variety of quantita tive disciplines. The use of the computer for the solution and analysis of business problems is an integral part of the program. Program graduates will have a broad foundation in quantitative methods and modeling and will be well positioned for the development, analysis, and solution of decision problems facing business and industry in the 21st century.
It is essential that the student consult with the area advisor to plan a program prior to taking any courses in the major.
| Required Courses 9 credits | ||
| CIS 3100 | Object-Oriented Programming I | 3 credits |
| OPR 3450 | Quantitative Decision Making for Business I * | 3 credits |
| Plus one of the following: | ||
| OPR 3451 | Quantitative Decision Making for Business II | 3 credits |
| STA 3154 | Business Statistics II | 3 credits |
| STA 3155 | Regression and Forecasting Models for Business Applications | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
|
*OPR 3300 Quantitative Methods for Accounting may be
substituted for OPR 3450 with the approval of the area advisor. |
||
| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 4100 | Object-Oriented Programming II | 3 credits |
| OPR 3451 | Quantitative Decision Making for Business II | 3 credits |
| OPR 3452 | System Simulation | 3 credits |
| OPR 3453 | Bayesian Statistical Inference and Decision Making | 3 credits |
| OPR 4470 | Special Topics in Operations Research |
3 credits |
| OPR 5000 | Independent Study in Operations Research | 3 credits |
| STA 3154 | Business Statistics II | 3 credits |
| STA 3155 | Regression and Forecasting Models for Business Applications | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| ECO 4300 | Mathematical Economics | 3 credits |
| MGT 3710 | Production Planning Systems |
3 credits |
| MTH 3020 | Intermediate Calculus | 3 credits |
| MTH 4120 | Introduction to Probability | 4 credits |
| MTH 4125 | Introduction to Stochastic Processes | 4 credits |
| MTH 4130 | Mathematics of Statistics | 4 credits |
| MTH 4140 | Graph Theory | 3 credits |
| MTH 4320 | Fundamental Algorithms | 3 credits |
| MTH 4451 | Risk Theory | 4 credits |
| MTH 4500 | Introductory Financial Mathematics | 4 credits |
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Statistics and Quantitative Modeling: BBA Major
The statistics and quantitative modeling major is designed to develop quantitative thinking skills that are invaluable in business. The student will take courses from a variety of quantitative disciplines that focus extensively on statistical methodology, mathematical modeling, and computer implementation issues applied to business. The use of the computer for the solution and analysis of business problems is an integral part of the program. Graduates of this program will have a broad foundation in statistics or quantitative modeling and will be well positioned for the analysis and solution of decision problems facing business and industry in the 21st century.
It is essential that the student consult with an area advisor to plan a program prior to taking any courses in the major.
| Major | ||
Required Courses (12 credits) |
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| CIS 3100 | Object-Oriented Programming I | 3 credits |
| OPR 3450 | Quantitative Decision Making for Business I | 3 credits |
| STA 3154 | Business Statistics II | 3 credits |
| STA 3155 | Regression and Forecasting Models for Business Applications | 3 credits |
Elective Courses (12 Credits) |
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| Electives may be selected after consultation with an advisor: | ||
| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 4100 | Object-Oriented Programming II | 3 credits |
| OPR 3451 | Quantitative Decision Making for Business II | 3 credits |
| OPR 3452 | System Simulation | 3 credits |
| OPR 3453 | Bayesian Statistical Inference and Decision Making | 3 credits |
| OPR 4470 | Special Topics in Operations Research |
3 credits |
| OPR 5000 | Independent Study in Operations Research | 3 credits |
| STA 3156 | Sampling Theory and Practice | 3 credits |
| STA 3253 | Categorical Data Analysis | 3 credits |
| STA 3255 | Statistical Quality Control Methods | 3 credits |
| STA 3560 | Nonparametric Statistics | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| STA 4157 | Design and Analysis of Experimental Data | 3 credits |
| STA 4158 | Analysis of Time Series | 3 credits |
| STA 4370 | Special Topics in Applied Statistics | 3 credits |
| STA 5000 | Independent Study and Research in Operations Research | 3 credits |
| ECO 4300 | Mathematical Economics | 3 credits |
| MKT 3600 | Marketing Research | 3 credits |
| MGT 3710 | Production Planning Systems | 3 credits |
| MTH 3020 | Intermediate Calculus | 3 credits |
| MTH 4120 | Introduction to Probability | 4 credits |
| MTH 4125 | Introduction to Stochastic Processes | 4 credits |
| MTH 4130 | Mathematics of Statistics | 4 credits |
| MTH 4140 | Graph Theory | 3 credits |
| MTH 4320 | Fundamental Algorithms | 4 credits |
| MTH 4451 | Risk Theory | 4 credits |
| MTH 4500 | Introductory Financial Mathematics | 4 credits |
Other quantitative courses may be selected subject to approval of the area advisor. A maximum of 3 elective courses may be taken outside the Zicklin School of Business. Note 1: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor |
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Arts and sciences students can major in one of the following three programs in the Department of Statistics and Computer Information Systems:
The department offers courses for students who are primarily interested in mathematics, psychology, and sociology. Statistical theory, using the College’s extensive computer installations, provides professional training for those who desire a career in operations research, quality control and reliability, health sciences and governmental statistics, design and analysis of surveys, and computer information systems. Joint major programs in conjunction with the Departments of Psychology and Sociology and Anthropology are offered and include courses to augment study in psychometrics and sociometrics.
Base Courses
| CIS 2200 | Introduction to Information Systems and Technologies | 3 credits |
| STA 2100 | Statistical Methods for Social Science | 3 credits |
| MTH 2630 | Analytic Geometry and Calculus I | 5 credits |
| MTH 3030 | Analytic Geometry and Calculus II | 5 credits |
The major consists of 24 credits, with up to 9 credits in mathematics. Required Courses
| STA 3551 | Theory of Statistics I - Introduction to Probability and Distribution Theory | 3 credits |
| STA 4552 | Theory of Statistics II - Statistical Inference | 3 credits |
| CIS 3100 | Object-Oriented Programming I | 3 credits |
| STA 3156 | Sampling Theory and Practice | 3 credits |
| STA 3255 | Statistical Quality Control Methods | 3 credits |
| STA 3560 | Nonparametric Statistics | 3 credits |
| STA 4158 | Analysis of Time Series | 3 credits |
| STA 4256 | Advanced Sampling Methods | 3 credits |
| STA 5559 | Introduction to Multivariate Analysis | 3 credits |
| MTH 4010 | Advanced Calculus I | 3 credits |
| MTH 4020 | Advanced Calculus II | 3 credits |
| MTH 4100 | Linear Algebra and Matrix Methods | 3 credits |
| MTH 4120 | Introduction to Probability | 3 credits |
| MTH 4130 | Mathematics of Statistics | 3 credits |
| MTH 5010 | Advanced Calculus III | 3 credits |
| OPR 4652 | Introduction to Mathematical Programming | 3 credits |
| OPR 4653 | Introduction to Statistical Decision Theory and Game Theory | 3 credits |
| OPR 4654 | Queueing Theory and Inventory Models | 3 credits |
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| CIS 2200 | Introduction to Information Systems and Technologies | 3 credits |
| STA 2100 | Statistical Methods for Social Science | 3 credits |
| MTH 2030 | Analytic Geometry and Calculus I | 5 credits |
Major: 24 credits Required Courses
| STA 2555 | Applied Methods I - Probability and Statistics | 3 credits |
| STA 3556 | Applied Methods II - Statistical Inference | 3 credits |
| STA 4561 | Factor Analysis and Classification Techniques | 3 credits |
| PSY 3053 | Tests and Measurements | 3 credits |
| STA 3156 | Sampling Theory and Practice | 3 credits |
| STA 3560 | Nonparametric Statistics | 3 credits |
| STA 5559 | Introduction to Multivariate Analysis | 3 credits |
| MTH 3030 | Analytic Geometry and Calculus II | 5 credits |
| MTH 4100 | Linear Algebra and Matrix Methods | 3 credits |
| OPR 4653 | Introduction to Statistical Decision Theory and Game Theory | 3 credits |
| PSY 3056 | Social Psychology | 3 credits |
| PSY 3180 | Vocational Psychology | 3 credits |
| PSY 3181 | Business and Industrial Psychology | 3 credits |
| PSY 3182 | Interviewing Techniques | 3 credits |
| PSY 3183 | Psychology and Urban Problems | 3 credits |
| PSY 4092 | Special Problems in Psychology | 2 credits |
| PSY 4282 | Advanced Psychological Testing | 3 credits |
Note: A number of the courses listed below are not currently offered. Students interested in sociometrics should consult with a department advisor. Base Courses |
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| CIS 2200 | Introduction to Information Systems and Technologies | 3 credits |
| STA 2100 | Statistical Methods for Social Science | 3 credits |
| MTH 2030 | Analytic Geometry and Calculus I | 5 credits |
Major: 24 credits Required Courses
| STA 2555 | Applied Methods I - Probability and Statistics | 3 credits |
| STA 3556 | Applied Methods II - Statistical Inference | 3 credits |
| STA 3563 | Design of Social Research | 3 credits |
| SOC 4032 | Methods of Sociological Research | 3 credits |
| STA 3156 | Sampling Theory and Practice | 3 credits |
| STA 3560 | Nonparametric Statistics | 3 credits |
| STA 5559 | Introduction to Multivariate Analysis | 3 credits |
| MTH 3030 | Analytic Geometry and Calculus II | 5 credits |
| MTH 4100 | Linear Algebra and Matrix Methods | 3 credits |
| OPR 4653 | Introduction to Statistical Decision Theory and Game Theory | 3 credits |
| SOC 3051 | Urban Sociology | 3 credits |
| SOC 3052 | Social Stratification | 3 credits |
| SOC 3055 | Population and Society | 3 credits |
| SOC 3064 | Modern Organizations | 3 credits |
| SOC 3082 | Small Groups | 3 credits |
| The following pairs of courses are considered as equivalent for purposes of credits. Students can be given credit for either course but not for both: |
| STA
2000 and STA
2100 (STA 2000 may be used for either the BA or BBA) |
| STA 3154 and STA 3556 |
| STA 3155 and STA 4554 |
| STA 4157 and STA 4557 |
| OPR 3453 and OPR 4653 |
**Optional second minors open only to students pursuing a major within the Zicklin School of Business.
General Information
The Department of Statistics and Computer Information Systems offers three minor concentrations. These are in the fields of computer information systems, quantitative methods and modeling, and statistics. Each is outlined below.
- Computer Applications in Business
- Quantitative Methods and Modeling
- Statistics and Quantitative Modeling
- Tier III Interdisciplinary Minor in Information Technology and Social Responsibility
Computer Applications in Business
This minor is designed to prepare students majoring in other areas of business to be competent end users and decision makers in a computer information systems environment. The focus is on using microcomputers and higher-level applications software to implement useful applications in a wide range of business areas.
| Choose any three of the following: 9 credits | ||
| CIS 3367 | Spreadsheet Applications in Business | 3 credits |
| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 3444 | e-Business Technologies | 3 credits |
| CIS 3630 | Principles of Web Design | 3 credits |
| CIS 4800 | Systems Analysis and Design | 3 credits |
| OPR 3300 | Quantitative Methods for Accounting | 3 credits |
Quantitative Methods and Modeling The minor in quantitative methods and modeling is designed to prepare students majoring in other areas of business with a background of quantitative skills that facilitate the decisionmaking process. In addition to one required course, two elective courses are selected with the approval of the area advisor to complement the student’s major and provide the student with an appropriate background. |
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Required Courses 9 credits |
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| OPR 3450 | Quantitative Decision Making for Business I | 3 credits |
| or | ||
| OPR 3300 | Quantitative Methods for Accounting | 3 credits |
Plus two courses selected with the approval of the area advisor from the following list:: |
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| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 4100 | Object-Oriented Programming II | 3 credits |
| OPR 3451 | Quantitative Decision Making for Business II | 3 credits |
| OPR 3452 | System Simulation | 3 credits |
| OPR 3453 | Bayesian Statistical Inference and Decision Making | 3 credits |
| OPR 4470 | Special Topics in Operations Research |
3 credits |
| OPR 5000 | Independent Study in Operations Research | 3 credits |
| STA 3154 | Business Statistics II | 3 credits |
| STA 3155 | Regression and Forecasting Models for Business Applications | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| Other quantitative courses may be selected subject to approval
of the area advisor. It is essential that the student consult with an area advisor to plan a program prior to taking any courses in the minor. |
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Statistics and Quantitative Modeling The minor in statistics consists of four required courses as listed below. |
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Required Courses 9 credits |
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| STA 3154 | Business Statistics II | 3 credits |
plus two courses selected from the following: |
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| OPR 3450 | Quantitative Decision Making for Business I | 3 credits |
| STA 3155 | Intermediate Statistical Methods | 3 credits |
| STA 3156 | Sampling Theory and Practice | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| STA 4370 | Special Topics in Applied Statistics | 3 credits |
Tier III Interdisciplinary Minor in Information Technology and Social Responsibility The internet age has fostered an environment of widespread interconnectedness. This hyperconnectivity, and the new media that proliferate along with it, come with their own specific problems. The purpose of this concentration is to study the effects of these new technologies on the individual, the workplace, and society at large. In this program of study students will examine the increasing importance of individual and organizational social responsibility in today’s interconnected and computer-mediated environment, as well as the specific issues that stand at the intersection of social responsibility and information technology. |
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Required Capstone Course: |
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| CIS 4910 | Information Technology and Social Responsibility | 3 credits |
Students must take two 3000-level courses from the following list, plus the capstone course: |
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| BLS 3013 | Mass Media and the Black American | 3 credits |
| CIS 3810 | Principles of New Media | 3 credits |
| COM 3060 | Media Analysis and Criticism | 3 credits |
| COM 3076 | International Communication | 3 credits |
| ENG 3220 | Media Ethics | 3 credits |
| ENG 3500 | Advanced Reporting and Writing: Cyberspace, Databases, and Other Sources | 3 credits |
| LIB 3040 | Information and Society (COM 3040 or PAF 3040) | 3 credits |
| PHI 3040 | Mind and Computers | 3 credits |
| PHI 3050 | Ethics, Economics, and the Business System | 3 credits |
| PHI 3270 | Computer Ethics (CIS 3270) | 3 credits |
Courses may be organized into the following suggested tracks: Media |
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| BLS 3013 | Mass Media and the Black American | 3 credits |
| CIS 3810 | Principles of New Media | 3 credits |
| COM 3060 | Media Analysis and Criticism | 3 credits |
| COM 3076 | International Communication | 3 credits |
| ENG 3220 | Media Ethics | 3 credits |
Information Society |
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| CIS 3810 | Principles of New Media | 3 credits |
| COM 3060 | Media Analysis and Criticism | 3 credits |
| ENG 3500 | Advanced Reporting and Writing: Cyberspace, Databases, and Other Sources | 3 credits |
| LIB 3040 | Information and Society (COM 3040 or PAF 3040) | 3 credits |
Philosophy and Ethics |
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| ENG 3220 | Media Ethics | 3 credits |
| PHI 3040 | Mind and Computers | 3 credits |
| PHI 3050 | Ethics, Economics, and the Business System | 3 credits |
| PHI 3270 | Computer Ethics (CIS 3270) | 3 credits |
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