- 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 | |
Business Intelligence (Course title change to: Foundations of Business Analytics, effective Spring 2018) | 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 Track (effective Spring 2016)Required Courses (12 credits) | ||
Object Oriented Programming I | 3 credits | |
OR | ||
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 |
OR | ||
* | Programming for Analytics | 3 credits |
Introduction to Semantic Technologies | 3 credits | |
Business Intelligence (Course title change to: Foundations of Business Analytics, effective Spring 2018) | 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 | |
* 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 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) | ||
Green IT | 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.
Statistical Theory
Base Courses
Introduction to Information Systems and Technologies | 3 credits | |
Statistical Methods for Social Science | 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 | |
Statistical Methods for Social Science | 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 | |
Statistical Methods for Social Science | 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
Courses
Courses in Computer Information Systems (CIS)
Problem-solving Techniques Using Microcomputers | 1 hour; 1 credit | |
Spreadsheet Techniques for Problem Solving | 1 hour; 1 credit | |
Spreadsheet Formulas and Functions | 1 hour; 1 credit | |
Introduction to Information Systems and Technologies | 3 hours; 3 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 | |
Business Intelligence (Course title change to: Foundations of Business Analytics, effective Spring 2018) | 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 | 1 hours; 1 credits | |
Special Topics in Computer Information Systems | 2 hours; 2 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 | |
Internet Applications Development | 3 hours; 3 credits | |
Web Applications Development | 3 hours; 3 credits | |
Information Technology Audit | 3 hours; 3 credits | |
Microcomputer Applications in Business II | 3 hours; 3 credits | |
Data Warehousing for Analytics | 3 hours; 3 credits | |
Networks and Telecommunications II | 3 hours; 3 credits | |
Expert (Knowledge-Based) Systems and Related Technologies | 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 | |
Data Analysis and Model Building I | 3 hours; 3 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 | |
Data Analysis and Model Building II | 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 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)
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 |