Undergraduate and Graduate Bulletins

Department of Statistics and Computer Information Systems


The Faculty

Chair:  Albert E. Croker
    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
    Associate Professors:
  • Raquel Benbunan-Fich
  • William Ferns
  • Elsie S. Gottlieb
  • Arie Harel
  • Richard Holowczak
  • Marios Koufaris
  • Nanda Kumar
  • Pai-Chun Ma
  • Kannan Mohan
  • Yitzchak P. Sabban
  • Isak Taksa
  • Lawrence Tatum
    Assistant Professors:
  • Hyokyoung Hong
  • Radhika Jain
  • Ronald Neath
  • Rongning Wu
  • Yu Yue
    Lecturer:
  • Robert Blau
  • Morris Schwartz

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Field Description

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.


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The Majors

 

General Information

The Department of Statistics and Computer Information Systems offers majors in the fields of computer information systems and statistics and quantitative modeling.

The computer information systems area prepares professionals in the development and use of computer-based technologies to develop systems that fulfill business information needs. Baruchs program trains students to analyze business needs and to design, implement, and use information systems to satisfy those needs.

The operations research area provides basic preparation for students who wish to pursue careers in the decision sciences and provides fundamental quantitative knowledge required by those who major in other business areas. 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 and quantitative modeling majors are provided with the base for the application of statistical techniques to a wide variety of fields.

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BBA in Computer Information Systems

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.

Required Courses                              12 credits
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


Elective Courses                                 12 credits

Any four courses from the following list:
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 4110 Object-Oriented Programming II With Java 3 credits
CIS 4160 Web Applications Development 3 credits
CIS 4350 Information Technology 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

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BBA in Statistics and Quantitative Modeling

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)
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

*OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor


Elective Courses (12 Credits)

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 and Research 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
MGT 3710 Production Planning Systems 3 credits
MKT 3600 Marketing Research 3 credits
MTH 3020 Intermediate Calculus 4 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

Note: Other quantitative courses may be selected subject to approval of the area advisor. A maximum of three elective courses may be taken outside the Zicklin School of Business.

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Statistics: BA Major

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 Colleges 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.


Statistical Theory

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

Major
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

Elective Courses
CIS 3100 Object-Oriented Programming I 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
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

Psychometrics


Note: A number of the courses listed below are not currently offered. Students interested in psychometrics should consult with a department advisor.

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

 

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

Elective Courses
OPR 4653 Introduction to Statistical Decision Theory and Game Theory 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
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

 

Sociometrics

Note: A number of the courses listed below are not currently offered. Students interested in sociometrics should consult with a department advisor.

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

 

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

Elective Courses
OPR 4653 Introduction to Statistical Decision Theory and Game Theory 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
SOC 3155 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

Equivalent courses in the arts and sciences and business curricula:
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

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The Minors

General Information

The Department of Statistics and Computer Information Systems offers three minor concentrations*. These are in the fields of computer applications in business, quantitative methods and modeling, and statistics. Each is outlined below.

* Optional second minors open only to students pursuing a major within the Zicklin School of Business


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.

Required Courses                                 9 credits

Choose any three courses (9 credits) from the list of 3000, 4000, or 5000 level CIS courses
except CIS 3270, CIS 3810 and CIS 4910.
Prerequisites must be satisfied.

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 students major and provide the student with an appropriate background.


Required Courses                                9 credits
OPR 3450 Quantitative Decision Making for Business I 3 credits
or
OPR 3300 Quantitative Methods for Accounting 3 credits

Two courses selected with the approval of the area advisor from the following:
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.


Statistics

The minor in statistics consists of the courses listed below.


Required Courses                                3 credits
STA 3154 Business Statistics II 3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
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 4000Introduction to SAS Programming3 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.


Required Course:                                3 credits
CIS 4910 Information Technology and Social Responsibility 3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
BLS 3013 Mass Media and the Black American 3 credits
CIS 3270 Computer Ethics   (PHI 3270) 3 credits
CIS 3700 Green IT 3 credits
CIS 3810 Principles of New Media 3 credits
COM 3060 Media Analysis and Criticism 3 credits
COM 3076 International Communication 3 credits
JRN 3220 Media Ethics 3 credits
JRN 3500 Advanced Reporting and Writing 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

Courses may be organized into the following suggested tracks:

Media
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
JRN 3220 Media Ethics 3 credits

Information Society
CIS 3810 Principles of New Media 3 credits
COM 3076 International Communication 3 credits
JRN 3500 Advanced Reporting and Writing 3 credits
LIB 3040 Information and Society  (COM 3040 or PAF 3040) 3 credits

Philosophy and Ethics
CIS 3270 Computer Ethics   (PHI 3270) 3 credits
JRN 3220 Media Ethics 3 credits
PHI 3040 Mind and Computers 3 credits
PHI 3050 Ethics, Economics, and the Business System 3 credits

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Minors for Non-Business Majors

Students in the Weissman School of Arts and Sciences or in the School of Public Affairs who wish to take business courses may do so by declaring a minor in statistics and quantitative modeling or in technology, business, and the Internet. Before declaring the minor, they must complete either BUS 1001 (1 credit) or have previously completed BUS 1000 (3 credits). To be awarded the minor, students must have a GPA of 2.0 or more in the courses included in the minor. Eligibility to declare such a minor is restricted to students who have an overall GPA of 2.0 or more at time they declare the minor. Courses that apply to the minor may not be used for any other requirement. This minor does not fulfill the requirement to complete a Tier III minor.

Students must choose three courses (9 credits) from the following:

Statistics and Quantitative Modeling
CIS 3100 Object-Oriented Programming I 3 credits
OPR 3300 Quantitative Methods for Accounting 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

Technology, Business, and the Internet
CIS 3100 Object-Oriented Programming I 3 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
LAW 3108 Law and the Internet 3 credits
MKT 4555 Internet Marketing 3 credits

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