The Faculty 

Chair:  Albert E. Croker

Professors:

Associate Professors:

Assistant Professors:

Lecturer:

 

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.

 

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.

 

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.

General CIS Track

Required Courses                              12 credits

Object-Oriented Programming I3 credits
Database Management Systems I3 credits
Systems Analysis and Design3 credits
Information Technology Development and Project Management3 credits


Elective Courses                                 12 credits

Any four courses from the following list:
Programming for Analytics3 credits
Introduction to Semantic Technologies3 credits
Spreadsheet Applications in Business3 credits
e-Business Technologies3 credits
Networks and Telecommunications I3 credits
Cybersecurity3 credits 
Principles of Web Design3 credits
Green IT3 credits
Business Intelligence3 credits
Social Media Technologies in Organizations3 credits
Usability, Privacy, and Security (effective Spring 2017)3 credits
Data Mining for Business Analytics3 credits
Object-Oriented Programming II3 credits
Object-Oriented Programming II With Java3 credits
Web Applications Development3 credits
Data Visualization3 credits 
Information Technology Audit3 credits

Database Management Systems II

3 credits
Networks and Telecommunications II3 credits
Expert (Knowledge-Based) Systems and Related Technologies3 credits
Financial Information Technologies3 credits
Operating Systems Concepts3 credits
Special Topics in Computer Information Systems1 credit
Special Topics in Computer Information Systems2 credits
Special Topics in Computer Information Systems3 credits 
Special Topics in Computer Information Systems1.5 credits 

Quantitative Methods for Accounting*

3 credits

Quantitative Decision Making for Business I*

3 credits

*Students may not receive credit for both OPR 3450 and OPR 3300.


Data Analytics Track (effective Spring 2016)

Required Courses (12 credits)

Object Oriented Programming I3 credits
OR  

Programming for Analytics3 credits
   

Database Management Systems I3 credits

/

Data Mining for Business Analytics3 credits

Data Warehousing for Analytics3 credits

Elective Courses (12 credits)
Choose four (4) courses of 3 credits each from the following. At least one of which should be a CIS course and one should be a STA course or an OPR course.

*

Object Oriented Programming I3 credits
OR  

*

Programming for Analytics3 credits

Introduction to Semantic Technologies3 credits

Business Intelligence3 credits

Data Visualization3 credits

Business Statistics II3 credits

Regression and Forecasting Models for Business Applications3 credits

Quantitative Decision Making for Business I

3 credits

Quantitative Decision Making for Business II3 credits

Marketing Web Analytics and Intelligence3 credits

Marketing Analytics3 credits

* If you have used one of these programming courses as a required course, you may use the other as an elective.


Information Risk Management and Cybersecurity Track (effective Spring 2016)

Required Courses (15 credits)

Object Oriented Programming I3 credits
Database Management Systems I3 credits
Networks and Telecommunications I3 credits
Cybersecurity3 credits
Information Technology Audit3 credits

Elective Courses (9 credits)
Choose three courses from the following list:

Green IT3 credits
Social Media Technologies in Organizations3 credits
Usability, Privacy, and Security (effective Spring 2017)3 credits
Object-Oriented Programming II3 credits
Object-Oriented Programming II with Java3 credits
Web Applications Development3 credits
Networks and Telecommunications II3 credits
Financial Information Technologies3 credits
Systems Analysis and Design3 credits

 

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)
Object-Oriented Programming I3 credits
Quantitative Decision Making for Business I *3 credits
Business Statistics II3 credits
Regression and Forecasting Models for Business Applications3 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:
Database Management Systems I3 credits
Object-Oriented Programming II3 credits
Quantitative Decision Making for Business II3 credits
System Simulation3 credits
Bayesian Statistical Inference and Decision Making3 credits
Special Topics in Operations Research3 credits
Independent Study and Research in Operations Research3 credits
Sampling Theory and Practice3 credits
Categorical Data Analysis3 credits
Statistical Quality Control Methods3 credits
Nonparametric Statistics3 credits
Introduction to SAS Programming3 credits
Design and Analysis of Experimental Data3 credits
Analysis of Time Series3 credits
Special Topics in Applied Statistics3 credits
Independent Study and Research in Statistics3 credits
Mathematical Economics3 credits
Production Planning Systems3 credits
Marketing Research3 credits
Intermediate Calculus4 credits
Introduction to Probability4 credits
Introduction to Stochastic Processes4 credits
Mathematics of Statistics4 credits
Graph Theory3 credits
Fundamental Algorithms4 credits
Risk Theory4 credits
Introductory Financial Mathematics4 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.

 

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

Introduction to Information Systems and Technologies3 credits
Statistical Methods for Social Science3 credits
Analytic Geometry and Calculus I5 credits
Analytic Geometry and Calculus II5 credits

Major
The major consists of 24 credits, with up to 9 credits in mathematics. Required Courses

Theory of Statistics I - Introduction to Probability and Distribution Theory3 credits
Theory of Statistics II - Statistical Inference3 credits

Elective Courses

Object-Oriented Programming I3 credits
Introduction to Mathematical Programming3 credits
Introduction to Statistical Decision Theory and Game Theory3 credits

Queueing Theory and Inventory Models3 credits
Sampling Theory and Practice3 credits
Statistical Quality Control Methods3 credits
Nonparametric Statistics3 credits
Analysis of Time Series3 credits
Advanced Sampling Methods3 credits
Introduction to Multivariate Analysis3 credits
Advanced Calculus I3 credits
Advanced Calculus II3 credits
Linear Algebra and Matrix Methods3 credits
Introduction to Probability3 credits
Mathematics of Statistics3 credits
Advanced Calculus III3 credits

Return to Statistics: BA Major

 

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

 

Introduction to Information Systems and Technologies3 credits
Statistical Methods for Social Science3 credits
Analytic Geometry and Calculus I5 credits

 

Major:   24 credits Required Courses

Applied Methods I - Probability and Statistics3 credits
Applied Methods II - Statistical Inference3 credits
Factor Analysis and Classification Techniques3 credits
Tests and Measurements3 credits

Elective Courses

Introduction to Statistical Decision Theory and Game Theory3 credits
Sampling Theory and Practice3 credits
Nonparametric Statistics3 credits
Introduction to Multivariate Analysis3 credits
Analytic Geometry and Calculus II5 credits
Linear Algebra and Matrix Methods3 credits
Social Psychology3 credits
Vocational Psychology3 credits
Business and Industrial Psychology3 credits
Interviewing Techniques3 credits
Psychology and Urban Problems3 credits
Special Problems in Psychology2 credits
Advanced Psychological Testing3 credits

Return to Statistics: BA Major

 

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
Introduction to Information Systems and Technologies3 credits
Statistical Methods for Social Science3 credits
Analytic Geometry and Calculus I5 credits

 

Major:   24 credits Required Courses

Applied Methods I - Probability and Statistics3 credits
Applied Methods II - Statistical Inference3 credits
Design of Social Research3 credits
Methods of Sociological Research3 credits

Elective Courses

Introduction to Statistical Decision Theory and Game Theory3 credits
Sampling Theory and Practice3 credits
Nonparametric Statistics3 credits
Introduction to Multivariate Analysis3 credits
Analytic Geometry and Calculus II5 credits
Linear Algebra and Matrix Methods3 credits
Urban Sociology3 credits
Social Stratification3 credits
Population and Society3 credits
Modern Organizations3 credits
Small Groups3 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:
  and  
(STA 2000 may be used for either the BA or BBA)
  and  
  and  
  and  
  and  

Return to Statistics: BA Major

 

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 (9 credits)

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  

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.


Cybersecurity and Information Assurance (9 credits) effective Spring 2017

This minor would provide an opportunity for students majoring in various areas of business to develop basic understanding of information security and assurance issues that organizations face today and the potential solutions available.

Required Courses (9 credits)  

CIS 3500

Networks and Telecommunications I3 credits

CIS 3550

Cybersecurity3 credits

CIS 4350

Information Technology Audit3 credits

Return to Minors


Data Analytics (9 credits)

This minor would provide an opportunity for students majoring in various areas of business to develop basic data literacy and to integrate techniques and solutions from the areas of technology, statistics, and quantitative modeling in developing business intelligence to facilitate organizational decision-making

Required Courses (6 credits)
/Data Mining for Business Analytics3 credits
Programming for Analytics3 credits
Elective Courses (3 credits) - Choose one course from the following list.
Database Management Systems I3 credits
Data Visualization3 credits
Data Warehousing for Analytics3 credits
Business Statistics II3 credits
Regression and Forecasting Models for Business Applications3 credits
Marketing Web Analytics and Intelligence3 credits
Marketing Analytics3 credits
Management Science3 credits

OR

 3 credits
*Quantitative Decision Making for Business I3 credits
* Students receiving credit for MGT 3500 will not also receive credit for OPR 3450.

Return to Minors

 

Quantitative Methods and Modeling (9 credits)

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                                
Quantitative Decision Making for Business I3 credits
             or 
Quantitative Methods for Accounting3 credits

Two courses selected with the approval of the area advisor from the following:
Database Management Systems I3 credits
Object-Oriented Programming II3 credits
Quantitative Decision Making for Business II3 credits
System Simulation3 credits
Bayesian Statistical Inference and Decision Making3 credits
Special Topics in Operations Research3 credits
Independent Study in Operations Research3 credits
Business Statistics II3 credits
Regression and Forecasting Models for Business Applications3 credits
Introduction to SAS Programming3 credits

Other quantitative courses may be selected subject to approval of the area advisor.

Return to Minors

 

Statistics

The minor in statistics consists of the courses listed below.

 


Required Courses                                3 credits
Business Statistics II3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
Quantitative Decision Making for Business I3 credits
Intermediate Statistical Methods3 credits
Sampling Theory and Practice3 credits
Introduction to SAS Programming3 credits
Special Topics in Applied Statistics3 credits

Return to Minors


Liberal Arts 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
Information Technology and Social Responsibility*3 credits

Elective Courses                                 6 credits

Two courses selected from the following:
Mass Media and the Black American3 credits

Computer Ethics*  (

PHI 3270

)

3 credits
Green IT*3 credits
Principles of New Media*3 credits
Media Analysis and Criticism3 credits
International Communication3 credits
Media Ethics3 credits
Advanced Reporting and Writing3 credits

Information and Society  (

COM 3040
or
PAF 3040
)

3 credits
Mind and Computers3 credits
Ethics, Economics, and the Business System3 credits

Courses may be organized into the following suggested tracks:

Media
Mass Media and the Black American3 credits
Principles of New Media*3 credits
Media Analysis and Criticism3 credits
International Communication3 credits
Media Ethics3 credits

Information Society
Principles of New Media*3 credits
International Communication3 credits
Advanced Reporting and Writing3 credits

Information and Society*  (

COM 3040
or
PAF 3040
)

3 credits

Philosophy and Ethics

Computer Ethics*  

PHI 3270


3 credits
Media Ethics3 credits
Mind and Computers3 credits
Ethics, Economics, and the Business System3 credits

*For the purposes of this program, this course counts as an Arts and Sciences course.

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 liberal arts minor.

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

Statistics and Quantitative Modeling
Object-Oriented Programming I3 credits
Quantitative Methods for Accounting3 credits
Quantitative Decision Making for Business I3 credits
Business Statistics II3 credits
Regression and Forecasting Models for Business Applications3 credits

Technology, Business, and the Internet
Object-Oriented Programming I3 credits
Spreadsheet Applications in Business3 credits
Database Management Systems I3 credits
e-Business Technologies3 credits
Principles of Web Design3 credits
Systems Analysis and Design3 credits
Law and the Internet3 credits
Internet Marketing3 credits

Courses

Courses in Computer Information Systems (CIS)

CIS 1000

Problem-solving Techniques Using Microcomputers

1 hour; 1 credit

CIS 1001

Spreadsheet Techniques for Problem Solving

1 hour; 1 credit

CIS 2001

Spreadsheet Formulas and Functions

1 hour; 1 credit

CIS 2200

Introduction to Information Systems and Technologies

3 hours; 3 credits

CIS 3100

Object-Oriented Programming I

3 hours; 3 credits

CIS 3150

Introduction to Semantic Technologies3 hours; 3 credits

CIS 3270

Computer Ethics

3 hours; 3 credits

CIS 3367

Spreadsheet Applications in Business

3 hours; 3 credits

CIS 3400

Database Management Systems I

3 hours; 3 credits

CIS 3444

E-Business Technologies

3 hours; 3 credits

CIS 3500

Networks and Telecommunications I

3 hours; 3 credits

CIS 3550

Cybersecurity

3 hours; 3 credits

CIS 3630

Principles of Web Design

3 hours; 3 credits

CIS 3700

Green IT

3 hours; 3 credits

CIS 3750

Social Media Technologies in Organizations

3 hours; 3 credits

CIS 3770

Usability, Privacy, and Security3 hours; 3 credits

CIS 3810

Principles of New Media

3 hours; 3 credits

CIS 4091

Special Topics in Computer Information Systems

1 hours; 1 credits

CIS 4092

Special Topics in Computer Information Systems

2 hours; 2 credits

CIS 4093

Special Topics in Computer Information Systems

3 hours; 3 credits

CIS 4094

Special Topics in Computer Information Systems

1.5 hours; 1.5 credits

CIS 4100

Object-Oriented Programming II

3 hours; 3 credits

CIS 4110

Object-Oriented Programming II with Java

3 hours; 3 credits

CIS 4150

Internet Applications Development

3 hours; 3 credits

CIS 4160

Web Applications Development

3 hours; 3 credits

CIS 4350

Information Technology Audit

3 hours; 3 credits

CIS 4367

Microcomputer Applications in Business II

3 hours; 3 credits

CIS 4400

Data Warehousing for Analytics

3 hours; 3 credits

CIS 4500

Networks and Telecommunications II

3 hours; 3 credits

CIS 4610

Expert (Knowledge-Based) Systems and Related Technologies

3 hours; 3 credits

CIS 4620

Financial Information Technologies

3 hours; 3 credits

CIS 4650

Operating Systems Concepts

3 hours; 3 credits

CIS 4670

Special Topics in Computer Information Systems

3 hours; 3 credits

CIS 4800

Systems Analysis and Design

3 hours; 3 credits

CIS 4910

Information Technology and Social Responsibility

3 hours; 3 credits

CIS 5000

Independent Study and Research in Computer Information Systems

3 hours; 3 credits

CIS 5800

Information Technology Development and Project Management

3 hours; 3 credits

CIS 5900

Computer Information Systems Internship

3 hours; 3 credits

CIS 2200H

Hon Info Systems

3 hours; 3 credits

CIS 3367H

Hon Sprdsht App Bus

3 hours; 3 credits

CIS 4450H

Hon Network & Com

3 hours; 3 credits

CIS 6001H

Hon CIS I

3 hours; 3 credits per semester

CIS 6002H

Hon CIS II

3 hours; 3 credits per semester

Courses in Statistics (STA)

STA 2000

Business Statistics I

3 hours; 3 credits

STA 2100

Statistics for Social Science

4 hours; 3 credits

STA 3150

Data Analysis and Model Building I

3 hours; 3 credits

STA 3154

Business Statistics II

3 hours; 3 credits

STA 3155

Regression and Forecasting Models for Business Applications

3 hours; 3 credits

STA 3156

Sampling Theory and Practice

3 hours; 3 credits

STA 3253

Categorical Data Analysis

3 hours; 3 credits

STA 3255

Statistical Quality Control Methods

3 hours; 3 credits

STA 3560

Nonparametric Statistics

3 hours; 3 credits

STA 4000

Introduction to SAS Programming

3 hours; 3 credits

STA 4150

Data Analysis and Model Building II

3 hours; 3 credits

STA 4157

Design and Analysis of Experimental Data

3 hours; 3 credits

STA 4158

Analysis of Time Series

3 hours; 3 credits

STA 4370

Special Topics in Applied Statistics

3 hours; 3 credits

STA 5000

Independent Study and Research in Statistics

3 hours; 3 credits

STA 2000H

Hon bus Statistics

3 hours; 3 credits

STA 2200H

Hon Bus Statistics

3 hours; 3 credits

STA 6001H

Hon Statistics I

3 hours; 3 credits

STA 6002H

Hon Statistics II

3 hours; 3 credits

Courses in Operations Research (OPR)

OPR 3300

Quantitative Methods for Accounting

3 hours; 3 credits

OPR 3450

Quantitative Decision Making for Business I

3 hours; 3 credits

OPR 3451

Quantitative Decision Making for Business II

3 hours; 3 credits

OPR 3452

System Simulation

3 hours; 3 credits

OPR 3453

Bayesian Statistical Inference and Decision Making

3 hours; 3 credits

OPR 4470

Special Topics in Operations Research

3 hours; 3 credits

OPR 5000

Independent Study and Research in Operations Research

3 hours; 3 credits

OPR 3300H

Hon Quant Meth Acc

3 hours; 3 credits

OPR 6001H

Hon Opr I

3 hours; 3 credits

OPR 6002H

Hon Opr II

3 hours; 3 credits

OPR 6003H

Hon Opr III

3 hours; 3 credits