- 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 | |
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 |
| ||
CIS 3120 | Programming for Analytics | 3 credits |
CIS 3150 | Introduction to Semantic Technologies | 3 credits |
CIS 3367 | Spreadsheet Applications in Business | 3 credits |
CIS 3444 | e-Business Technologies | 3 credits |
CIS 3500 | Networks and Telecommunications I | 3 credits |
CIS 3550 | Cybersecurity | 3 credits |
CIS 3630 | Principles of Web Design | 3 credits |
CIS 3700 | Green IT | 3 credits |
CIS 3710 | Business Intelligence (Course title change to: Foundations of Business Analytics, effective Spring 2018) | 3 credits |
CIS 3750 | Social Media Technologies in Organizations | 3 credits |
CIS 3770 | Usability, Privacy, and Security (effective Spring 2017) | 3 credits |
CIS 3920 | Data Mining for Business Analytics | 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 4170 | Data Visualization | 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 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 4091 | Special Topics in Computer Information Systems | 1 credit |
CIS 4092 | Special Topics in Computer Information Systems | 2 credits |
CIS 4093 | Special Topics in Computer Information Systems | 3 credits |
CIS 4094 | Special Topics in Computer Information Systems | 1.5 credits |
OPR 3300 | Quantitative Methods for Accounting* | 3 credits |
OPR 3450 | 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) | ||
CIS 3100 | Object Oriented Programming I | 3 credits |
CIS 3400 | Database Management Systems I | 3 credits |
CIS 3500 | Networks and Telecommunications I | 3 credits |
CIS 3550 | Cybersecurity | 3 credits |
CIS 4350 | Information Technology Audit | 3 credits |
Elective Courses (9 credits) | ||
CIS 3700 | Green IT | 3 credits |
CIS 3750 | Social Media Technologies in Organizations | 3 credits |
CIS 3770 | Usability, Privacy, and Security (effective Spring 2017) | 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 4500 | Networks and Telecommunications II | 3 credits |
CIS 4620 | Financial Information Technologies | 3 credits |
CIS 4800 | 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) | ||
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
| ||
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 Statistics | 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. |
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 |
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 |
Return to Statistics: BA Major
Psychometrics
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 |
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 | ||
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 |
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) 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) | ||
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) | ||
CIS 3920/ STA 3920 | Data Mining for Business Analytics | 3 credits |
CIS 3120 | Programming for Analytics | 3 credits |
Elective Courses (3 credits) - Choose one course from the following list. | ||
CIS 3400 | Database Management Systems I | 3 credits |
CIS 4170 | Data Visualization | 3 credits |
CIS 4400 | Data Warehousing for Analytics | 3 credits |
STA 3154 | Business Statistics II | 3 credits |
STA 3155 | Regression and Forecasting Models for Business Applications | 3 credits |
MKT 4123 | Marketing Web Analytics and Intelligence | 3 credits |
MKT 4561 | Marketing Analytics | 3 credits |
MGT 3500 | Management Science | 3 credits |
OR | 3 credits | |
OPR 3450* | 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 | ||
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 4000 | Introduction to SAS Programming | 3 credits |
STA 4370 | 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 | ||
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 | 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 | 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 |
*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 | ||
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 |
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 |