- Faculty
- Field Description
- The Majors and Courses
- The Minors and Courses
- Courses
- Department of Statistics and Computer Information Systems Web Site
The Faculty
Chair: Mario Koufaris
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
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
- BBA in Computer Information Systems (General CIS Track)
- BBA in Computer Information Systems (Data Analytics Track)
- BBA in Computer Information Systems (Information Risk Management and Cybersecurity Track)
- BBA in Statistics and Quantitative Modeling
- Statistics: BA Major
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 TrackRequired Courses 12 credits | ||
Object-Oriented Programming I | 3 credits | |
Database Management Systems I | 3 credits | |
Systems Analysis and Design | 3 credits | |
Information Technology Development and Project Management | 3 credits | |
| ||
Programming for Analytics | 3 credits | |
Introduction to Semantic Technologies | 3 credits | |
Spreadsheet Applications in Business | 3 credits | |
e-Business Technologies | 3 credits | |
Networks and Telecommunications I | 3 credits | |
Cybersecurity | 3 credits | |
Principles of Web Design | 3 credits | |
Green IT | 3 credits | |
Foundations of Business Analytics | 3 credits | |
Social Media Technologies in Organizations | 3 credits | |
Usability, Privacy, and Security (effective Spring 2017) | 3 credits | |
Data Mining for Business Analytics | 3 credits | |
Object-Oriented Programming II | 3 credits | |
Object-Oriented Programming II With Java | 3 credits | |
Web Applications Development | 3 credits | |
Data Visualization | 3 credits | |
Information Technology Audit | 3 credits | |
Database Management Systems II | 3 credits | |
Networks and Telecommunications II | 3 credits | |
Expert (Knowledge-Based) Systems and Related Technologies | 3 credits | |
Financial Information Technologies | 3 credits | |
Operating Systems Concepts | 3 credits | |
Special Topics in Computer Information Systems | 1 credit | |
Special Topics in Computer Information Systems | 2 credits | |
Special Topics in Computer Information Systems | 3 credits | |
Special Topics in Computer Information Systems | 1.5 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 TrackRequired Courses (12 credits) | ||
Programming for Analytics | 3 credits | |
Database Management Systems I | 3 credits | |
/ | Data Mining for Business Analytics | 3 credits |
Data Warehousing for Analytics | 3 credits | |
Elective Courses (12 credits) | ||
Object Oriented Programming I | 3 credits | |
Introduction to Semantic Technologies | 3 credits | |
Foundations of Business Analytics | 3 credits | |
Data Visualization | 3 credits | |
Business Statistics II | 3 credits | |
Regression and Forecasting Models for Business Applications | 3 credits | |
Quantitative Decision Making for Business I | 3 credits | |
Quantitative Decision Making for Business II | 3 credits | |
Marketing Web Analytics and Intelligence | 3 credits | |
Marketing Analytics | 3 credits | |
Information Risk Management and Cybersecurity TrackRequired Courses (15 credits) | ||
Object Oriented Programming I | 3 credits | |
Database Management Systems I | 3 credits | |
Networks and Telecommunications I | 3 credits | |
Cybersecurity | 3 credits | |
Information Technology Audit | 3 credits | |
Elective Courses (9 credits) | ||
Programming for Analytics | 3 credits | |
Social Media Technologies in Organizations | 3 credits | |
Usability, Privacy, and Security (effective Spring 2017) | 3 credits | |
Object-Oriented Programming II | 3 credits | |
Object-Oriented Programming II with Java | 3 credits | |
Web Applications Development | 3 credits | |
Networks and Telecommunications II | 3 credits | |
Financial Information Technologies | 3 credits | |
Systems Analysis and Design | 3 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 I | 3 credits | |
Quantitative Decision Making for Business I * | 3 credits | |
Business Statistics II | 3 credits | |
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
| ||
Electives may be selected after consultation with an advisor: | ||
Database Management Systems I | 3 credits | |
Object-Oriented Programming II | 3 credits | |
Quantitative Decision Making for Business II | 3 credits | |
System Simulation | 3 credits | |
Bayesian Statistical Inference and Decision Making | 3 credits | |
Special Topics in Operations Research | 3 credits | |
Independent Study and Research in Operations Research | 3 credits | |
Sampling Theory and Practice | 3 credits | |
Categorical Data Analysis | 3 credits | |
Statistical Quality Control Methods | 3 credits | |
Nonparametric Statistics | 3 credits | |
Introduction to SAS Programming | 3 credits | |
Design and Analysis of Experimental Data | 3 credits | |
Analysis of Time Series | 3 credits | |
Special Topics in Applied Statistics | 3 credits | |
Independent Study and Research in Statistics | 3 credits | |
Mathematical Economics | 3 credits | |
Production Planning Systems | 3 credits | |
Marketing Research | 3 credits | |
Intermediate Calculus | 4 credits | |
Introduction to Probability | 4 credits | |
Introduction to Stochastic Processes | 4 credits | |
Mathematics of Statistics | 4 credits | |
Graph Theory | 3 credits | |
Fundamental Algorithms | 4 credits | |
Risk Theory | 4 credits | |
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. |
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.
NOTE: This program is under revision, so it is important to consult a faculty advisor to plan a proper sequence of courses. Interested students should contact Professor Kamiar Rahnamarad (Kamiar.RahnamaRad@baruch.cuny.edu).
Statistical Theory
Base Courses
Introduction to Information Systems and Technologies | 3 credits | |
Business Statistics I | 3 credits | |
Analytic Geometry and Calculus I | 5 credits | |
Analytic Geometry and Calculus II | 5 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 Theory | 3 credits | |
Theory of Statistics II - Statistical Inference | 3 credits |
Elective Courses
Object-Oriented Programming I | 3 credits | |
Introduction to Mathematical Programming | 3 credits | |
Introduction to Statistical Decision Theory and Game Theory | 3 credits | |
Queueing Theory and Inventory Models | 3 credits | |
Sampling Theory and Practice | 3 credits | |
Statistical Quality Control Methods | 3 credits | |
Nonparametric Statistics | 3 credits | |
Analysis of Time Series | 3 credits | |
Advanced Sampling Methods | 3 credits | |
Introduction to Multivariate Analysis | 3 credits | |
Advanced Calculus I | 3 credits | |
Advanced Calculus II | 3 credits | |
Linear Algebra and Matrix Methods | 3 credits | |
Introduction to Probability | 3 credits | |
Mathematics of Statistics | 3 credits | |
Advanced Calculus III | 3 credits | |
Return to Statistics: BA Major
Psychometrics
Base Courses
| ||
Introduction to Information Systems and Technologies | 3 credits | |
Business Statistics I | 3 credits | |
Analytic Geometry and Calculus I | 5 credits |
Major: 24 credits Required Courses
Applied Methods I - Probability and Statistics | 3 credits | |
Applied Methods II - Statistical Inference | 3 credits | |
Factor Analysis and Classification Techniques | 3 credits | |
Tests and Measurements | 3 credits |
Elective Courses
Introduction to Statistical Decision Theory and Game Theory | 3 credits | |
Sampling Theory and Practice | 3 credits | |
Nonparametric Statistics | 3 credits | |
Introduction to Multivariate Analysis | 3 credits | |
Analytic Geometry and Calculus II | 5 credits | |
Linear Algebra and Matrix Methods | 3 credits | |
Social Psychology | 3 credits | |
Vocational Psychology | 3 credits | |
Business and Industrial Psychology | 3 credits | |
Interviewing Techniques | 3 credits | |
Psychology and Urban Problems | 3 credits | |
Special Problems in Psychology | 2 credits | |
Advanced Psychological Testing | 3 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 Technologies | 3 credits | |
Business Statistics I | 3 credits | |
Analytic Geometry and Calculus I | 5 credits |
Major: 24 credits Required Courses
Applied Methods I - Probability and Statistics | 3 credits | |
Applied Methods II - Statistical Inference | 3 credits | |
Design of Social Research | 3 credits | |
Methods of Sociological Research | 3 credits |
Elective Courses
Introduction to Statistical Decision Theory and Game Theory | 3 credits | |
Sampling Theory and Practice | 3 credits | |
Nonparametric Statistics | 3 credits | |
Introduction to Multivariate Analysis | 3 credits | |
Analytic Geometry and Calculus II | 5 credits | |
Linear Algebra and Matrix Methods | 3 credits | |
Urban Sociology | 3 credits | |
Social Stratification | 3 credits | |
Population and Society | 3 credits | |
Modern Organizations | 3 credits | |
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: |
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.
- Computer Applications in Business
- Cybersecurity and Information Assurance
- Data Analytics
- Quantitative Methods and Modeling
- Statistics
- Liberal Arts Interdisciplinary Minor in Information Technology and Social Responsibility
- Minors for Non-Business Majors
* 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 | ||
Cybersecurity and Information Assurance (9 credits) 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) | ||
Networks and Telecommunications I | 3 credits | |
Cybersecurity | 3 credits | |
Information Technology Audit | 3 credits | |
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 Analytics | 3 credits |
Programming for Analytics | 3 credits | |
Elective Courses (3 credits) - Choose one course from the following list. | ||
Database Management Systems I | 3 credits | |
Data Visualization | 3 credits | |
Data Warehousing for Analytics | 3 credits | |
Business Statistics II | 3 credits | |
Regression and Forecasting Models for Business Applications | 3 credits | |
Marketing Web Analytics and Intelligence | 3 credits | |
Marketing Analytics | 3 credits | |
Management Science | 3 credits | |
OR | 3 credits | |
* | Quantitative Decision Making for Business I | 3 credits |
* Students receiving credit for MGT 3500 will not also receive credit for OPR 3450. | ||
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 I | 3 credits | |
or | ||
Quantitative Methods for Accounting | 3 credits | |
Two courses selected with the approval of the area advisor from the following: | ||
Database Management Systems I | 3 credits | |
Object-Oriented Programming II | 3 credits | |
Quantitative Decision Making for Business II | 3 credits | |
System Simulation | 3 credits | |
Bayesian Statistical Inference and Decision Making | 3 credits | |
Special Topics in Operations Research | 3 credits | |
Independent Study in Operations Research | 3 credits | |
Business Statistics II | 3 credits | |
Regression and Forecasting Models for Business Applications | 3 credits | |
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 | ||
Business Statistics II | 3 credits | |
Elective Courses 6 credits Two courses selected from the following: | ||
Quantitative Decision Making for Business I | 3 credits | |
Intermediate Statistical Methods | 3 credits | |
Sampling Theory and Practice | 3 credits | |
Introduction to SAS Programming | 3 credits | |
Special Topics in Applied Statistics | 3 credits | |
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 American | 3 credits | |
Computer Ethics* ( ) | 3 credits | |
Green IT* | 3 credits | |
Principles of New Media* | 3 credits | |
Media Analysis and Criticism | 3 credits | |
International Communication | 3 credits | |
Media Ethics | 3 credits | |
Advanced Reporting and Writing | 3 credits | |
Information and Society ( or ) | 3 credits | |
Mind and Computers | 3 credits | |
Ethics, Economics, and the Business System | 3 credits | |
Courses may be organized into the following suggested tracks: Media | ||
Mass Media and the Black American | 3 credits | |
Principles of New Media* | 3 credits | |
Media Analysis and Criticism | 3 credits | |
International Communication | 3 credits | |
Media Ethics | 3 credits | |
Information Society | ||
Principles of New Media* | 3 credits | |
International Communication | 3 credits | |
Advanced Reporting and Writing | 3 credits | |
Information and Society ( or ) | 3 credits | |
Philosophy and Ethics | ||
Computer Ethics* ( ) | 3 credits | |
Media Ethics | 3 credits | |
Mind and Computers | 3 credits | |
Ethics, Economics, and the Business System | 3 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 Marxe School of Public and International 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 1011 (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 I | 3 credits | |
Quantitative Methods for Accounting | 3 credits | |
Quantitative Decision Making for Business I | 3 credits | |
Business Statistics II | 3 credits | |
Regression and Forecasting Models for Business Applications | 3 credits | |
Technology, Business, and the Internet | ||
Object-Oriented Programming I | 3 credits | |
Spreadsheet Applications in Business | 3 credits | |
Database Management Systems I | 3 credits | |
e-Business Technologies | 3 credits | |
Principles of Web Design | 3 credits | |
Systems Analysis and Design | 3 credits | |
Law and the Internet | 3 credits | |
Internet Marketing | 3 credits |
Courses
Courses in Computer Information Systems (CIS)
Introduction to Information Systems and Technologies | 3 hours; 3 credits | |
Special Topics in Computer Information Systems | 3 hours; 3 credits | |
Special Topics in Computer Information Systems | 1.5 hours; 1.5 credits | |
Object-Oriented Programming I | 3 hours; 3 credits | |
Introduction to Semantic Technologies | 3 hours; 3 credits | |
Computer Ethics | 3 hours; 3 credits | |
Spreadsheet Applications in Business | 3 hours; 3 credits | |
Database Management Systems I | 3 hours; 3 credits | |
E-Business Technologies | 3 hours; 3 credits | |
Networks and Telecommunications I | 3 hours; 3 credits | |
Cybersecurity | 3 hours; 3 credits | |
Principles of Web Design | 3 hours; 3 credits | |
Green IT | 3 hours; 3 credits | |
Foundations of Business Analytics | 3 credits | |
Social Media Technologies in Organizations | 3 hours; 3 credits | |
Usability, Privacy, and Security | 3 hours; 3 credits | |
Principles of New Media | 3 hours; 3 credits | |
Special Topics in Computer Information Systems | 3 hours; 3 credits | |
Special Topics in Computer Information Systems | 1.5 hours; 1.5 credits | |
Object-Oriented Programming II | 3 hours; 3 credits | |
Object-Oriented Programming II with Java | 3 hours; 3 credits | |
Web Applications Development | 3 hours; 3 credits | |
Information Technology Audit | 3 hours; 3 credits | |
Data Warehousing for Analytics | 3 hours; 3 credits | |
Networks and Telecommunications II | 3 hours; 3 credits | |
Financial Information Technologies | 3 hours; 3 credits | |
Operating Systems Concepts | 3 hours; 3 credits | |
Special Topics in Computer Information Systems | 3 hours; 3 credits | |
Systems Analysis and Design | 3 hours; 3 credits | |
Information Technology and Social Responsibility | 3 hours; 3 credits | |
Independent Study and Research in Computer Information Systems | 3 hours; 3 credits | |
Information Technology Development and Project Management | 3 hours; 3 credits | |
Computer Information Systems Internship | 3 hours; 3 credits | |
Hon Info Systems | 3 hours; 3 credits | |
Hon Sprdsht App Bus | 3 hours; 3 credits | |
Hon Network & Com | 3 hours; 3 credits | |
Hon CIS I | 3 hours; 3 credits per semester | |
Hon CIS II | 3 hours; 3 credits per semester |
Courses in Statistics (STA)
Business Statistics I | 3 hours; 3 credits | |
Statistics for Social Science | 4 hours; 3 credits | |
Special Topics in Statistics | 3 hours; 3 credits | |
Special Topics in Statistics | 1.5 hours; 1.5 credits | |
Business Statistics II | 3 hours; 3 credits | |
Regression and Forecasting Models for Business Applications | 3 hours; 3 credits | |
Sampling Theory and Practice | 3 hours; 3 credits | |
Categorical Data Analysis | 3 hours; 3 credits | |
Statistical Quality Control Methods | 3 hours; 3 credits | |
Nonparametric Statistics | 3 hours; 3 credits | |
Introduction to SAS Programming | 3 hours; 3 credits | |
Design and Analysis of Experimental Data | 3 hours; 3 credits | |
Analysis of Time Series | 3 hours; 3 credits | |
Special Topics in Applied Statistics | 3 hours; 3 credits | |
Independent Study and Research in Statistics | 3 hours; 3 credits | |
Hon bus Statistics | 3 hours; 3 credits | |
Hon Statistics I | 3 hours; 3 credits | |
Hon Statistics II | 3 hours; 3 credits |
Courses in Operations Research (OPR)
Special Topics in Operations Research | 3 hours; 3 credits | |
Special Topics in Operations Research | 1.5 hours; 1.5 credits | |
Quantitative Methods for Accounting | 3 hours; 3 credits | |
Quantitative Decision Making for Business I | 3 hours; 3 credits | |
Quantitative Decision Making for Business II | 3 hours; 3 credits | |
System Simulation | 3 hours; 3 credits | |
Bayesian Statistical Inference and Decision Making | 3 hours; 3 credits | |
Special Topics in Operations Research | 3 hours; 3 credits | |
Independent Study and Research in Operations Research | 3 hours; 3 credits | |
Hon Quant Meth Acc | 3 hours; 3 credits | |
Hon Opr I | 3 hours; 3 credits | |
Hon Opr II | 3 hours; 3 credits | |
Hon Opr III | 3 hours; 3 credits |