...
Field Description
...
...
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.
Program Learning Goals
| Database Development | Students will apply the principles of design and development of relational databases. |
| System Analysis and Design | Students will elicit, analyze, and model system requirements. |
| Software Programming | Students will implement software systems using a suitable programming language/development environment. |
| Information Technology Management | Students will identify and explain the factors that contribute to the successful design, implementation, and management of Information Technology systems in organizations. |
| Anchor |
|---|
| majorBBA-CISgeneral |
|---|
| majorBBA-CISgeneral |
|---|
|
Required Courses 15 credits |
| | Anchor |
|---|
majorBBA-CISgeneral | majorBBA-CISgeneral | Required Courses 15 credits
| Programming and Computational Thinking | 3 credits |
Choose from
or
or † | Object Oriented Programming I, or Object Oriented Programming with Java, or Programming for Analytics | 3 credits |
| Database Management Systems | 3 credits |
| Systems Analysis and Design | 3 credits |
| Information Technology Development and Project Management | 3 credits |
Elective Courses 9 credits
At at least 3 credits should be from a course at the 4000 level |
| Object Oriented Programming I | 3 credits |
| Object Oriented Programming with Java | 3 credits |
| Programming for Analytics | 3 credits |
| Introduction to Semantic Technologies | 3 credits |
| Blockchain Technologies and Applications | 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 | 3 credits |
| / | Data Mining for Business Analytics | 3 credits |
| Special Topics in Computer Information Systems | 3 credits |
| Object-Oriented Programming II | 3 credits |
| Web Applications Development | 3 credits |
| / | Data Visualization | 3 credits |
| Information Technology Audit | 3 credits |
| Data Warehousing for Analytics | 3 credits |
| Networks and Telecommunications II | 3 credits |
| Expert (Knowledge-Based) Systems and Related Technologies | 3 credits |
| FinTech: Principles and Applications | 3 credits |
| Operating Systems Concepts | 3 credits |
| Quantitative Methods for Accounting* | 3 credits |
| Quantitative Decision Making for Business I* | 3 credits |
| Advanced Data Mining | 3 credits |
* Students may not receive credit for both OPR 3450 and OPR 3300. ** Students receiving credit for MGT 3500 (Introduction to Management Science) will not receive credit for OPR 3450. † If you have used one of these programming courses (CIS 3100, CIS 3110, CIS 3120) as a required course, you may use the others as electives. |
| Anchor |
|---|
| major-BBAdata-analytics |
|---|
| major-BBAdata-analytics |
|---|
|
Required Courses (15 credits)
|
| Programming and Computational Thinking | |
| Programming for Analytics | 3 credits |
| Database Management Systems | 3 credits |
| / | Data Mining for Business Analytics | 3 credits |
| Data Warehousing for Analytics | 3 credits |
Elective Courses (9 credits) Choose three (3) 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 I | 3 credits |
| Introduction to Semantic Technologies | 3 credits |
| Foundations of Business Analytics | 3 credits |
| Special Topics in CIS (with permission) | 3 credits |
| / | Data Visualization | 3 credits |
| Business Statistics II | 3 credits |
Course number revised to (effective Spring 2020) | Regression and Forecasting Models for Business Applications | 3 credits |
| Advanced Data Mining | 3 credits |
| * | Quantitative Methods for Accounting* | |
| ** | 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 |
* Students may not receive credit for both OPR 3450 and OPR 3300. ** Students receiving credit for MGT 3500 (Introduction toManagement Science) will not receive credit for OPR 3450. |
| Anchor |
|---|
| major-BBAriskcyber |
|---|
| major-BBAriskcyber |
|---|
|
Required Courses (15 credits) |
| Programming and Computational Thinking | 3 credits |
| Database Management Systems | 3 credits |
| Networks and Telecommunications I | 3 credits |
| Cybersecurity | 3 credits |
| Information Technology Audit | 3 credits |
Elective Courses (9 credits)
At least 6 credits must be from the CIS courses |
| Object Oriented Programming I | 3 credits |
| Object Oriented Programming with Java | 3 credits |
| Programming for 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 |
| Special Topics in CIS (with a departmental permission) | 3 credits |
| Object-Oriented Programming II | 3 credits |
| Web Applications Development | 3 credits |
| Networks and Telecommunications II | 3 credits |
| Financial Information Technologies | 3 credits |
| Systems Analysis and Design | 3 credits |
| Law and the Internet | 3 credits |
| Financial Regulation of Emerging Technologies | 3 credits |
| Corporate Compliance, Governance & Whistleblowing | 3 credits |
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.
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.
Program Learning Goals
| Quantitative Thinking Skills | Students will be able to apply the quantitative thinking and the mathematical modeling process to solve real-world problems |
| Data Analysis | Students will be able to identify appropriate methodology, conduct analysis, and interpret results |
| Deterministic Modeling Methods | Students will be able to model deterministic mathematical programming problems |
| Probabilistic Modeling Methods | Students will be able to model probabilistic problems dealing with decision analysis and simulation |
| Statistical Modeling | Students will be able to model statistical problem applied to business |
| Technological Skills | Students will be proficient in appropriate software to solve problems in statistics and quantitative modeling |
| Communication Skills | Students will be able to effectively communicate statistical and quantitative modeling methods for decision making to technical and non-technical audiences |
| Major |
Required Courses (12 credits) |
| Statistical Computing | 3 credits |
| Quantitative Decision Making for Business I * | 3 credits |
| Business Statistics II | 3 credits |
Course number revised to
effective Spring 2020
| Regression and Forecasting Models for Business Applications | 3 credits |
Elective Courses (12 Credits)
|
| Electives may be selected after consultation with an advisor: |
| Database Management Systems | 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 |
| Introduction to Supply Chain Management | 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| Anchor |
|---|
| BBA SQM, eff Spring 2020 |
|---|
| BBA SQM, eff Spring 2020 |
|---|
|
|
| Introductory Financial Mathematics | 4 credits |
*OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor. |
...
| Anchor |
|---|
| majorBBASQM-effSP2020 |
|---|
| majorBBASQM-effSP2020 |
|---|
|
|
|---|
| Required Courses (12 credits) |
| Statistical Computing | 3 credits |
| Quantitative Decision Making for Business I | 3 credits |
| Business Statistics II | 3 credits |
| Regression and Forecasting Models for Business Applications | 3 credits |
Elective Courses (12 credits) (No more than six credits outside of the CIS, OPR, STA and MTH) |
| Programing and Computational Thinking | 3 credits |
| Object Oriented Programing | 3 credits |
| Programing for Analytics | 3 credits |
| Database Management Systems I | 3 credits |
| Object-Oriented Programming II | 3 credits |
| Data Warehousing for Analytics | 3 credits |
| Quantitative Decision Making for Business II | 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 |
| / | Data Mining for Business Analytics | 3 credits |
| / | Introduction to SAS Programming | 3 credits |
| Design and Analysis of Experimental Data | 3 credits |
| Analysis of Time Series | 3 credits |
| / | Data Visualization | 3 credits |
| Special Topics in Applied Statistics | 3 credits |
| Advanced Data Mining | 3 credits |
| Independent Study in Statistics | 3 credits |
| Marketing Research | 3 credits |
| Marketing Web Analytics and Intelligence | 3 credits |
| Marketing Analytics | 3 credits |
| Intermediate Calculus | 4 credits |
| ** Any MTH 4000 and above is also accepted as an elective |
Note: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor. |
...
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.
- A BA student majoring in statistics cannot minor in mathematics or declare a second major in actuarial science, financial mathematics, or mathematics.
- Any business courses included in this program (CIS, OPR, STA, etc.) do not count toward the 90-credit liberal arts minimum required for the BA degree.
*** 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 Rahnama Rad (Kamiar.RahnamaRad@baruch.cuny.edu). ***
...
