...
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 problem solving 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 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.
...
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 |
|
| Programming and Computational Thinking | 3 credits |
|
|
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 must 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 |
| Computer Networking | 3 credits |
| Cybersecurity | 3 credits |
| FinTech: Principles and Applications | 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 (course title change to "Data Structures and Algorithms" effective Spring 2023) | 3 credits |
| Applied Natural Language Processing (effective Spring 2022) | 3 credits |
| Big Data Technologies (effective Spring 2022) | 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| Advanced Computer Networking | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4560 |
|---|
| Discipline | CIS |
|---|
|
| Ethical Hacking | 3 credits |
| Expert (Knowledge-Based) Systems and Related Technologies | 3 credits |
|
CIS 4650 |
Operating Systems Concepts | 3 credits | | Quantitative Methods for Accounting |
| 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/OPM 3500 (Business Decision Models) 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 must be a CIS course and one |
should must be a STA course or an OPR course. |
|
| Object Oriented Programming I | 3 credits |
| Introduction to Semantic Technologies | 3 credits |
|
3710Foundations of Business Analytics | 3 credits | | showcourse |
|---|
CIS | Special Topics in CIS (with permission) | 3 credits |
| Applied Natural Language Processing(effective Spring 2022) | 3 credits |
| Big Data Technologies (effective Spring 2022) | 3 credits |
|
/showcourseSTA 4170 |
| Data Visualization | 3 credits |
| Business Statistics II | 3 credits |
| 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/OPM 3500 (Business Decision Models) 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 |
| Computer Networking | 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 |
| FinTech: Principles and Applications | 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 CIS (with a departmental permission) | 3 credits |
| Web Applications Development | 3 credits |
|
Networks and Telecommunications II| Advanced Computer Networking | 3 credits |
| Ethical Hacking | 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 |
BBA in Statistics and Quantitative Modeling
...
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 |
| 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 (course title change to "Data Structures and Algorithms" effective Spring 2023) | 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 |
|
STA /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. |
Statistics: BA Major
...
- As with all BA majors, the liberal arts minor (courses 2-4 of the College Option) and second major (if applicable) must be completed outside the department of the student’s major. A student majoring in statistics cannot minor in either computer science or mathematics; nor can they declare a second major in actuarial science, financial mathematics, or mathematics.
- Any business courses completed for this major (CIS, OPR, STA) do not count toward the 90 liberal arts credit minimum for the BA degree.
Program Prerequisites |
As a preliminary requirement, students must complete the following courses: |
| Showcourse v |
|---|
| CourseNumber | 2000 |
|---|
| Discipline | STA |
|---|
|
| Business Statistics I | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3020 |
|---|
| Discipline | MTH |
|---|
|
| Calculus III | 4 credits |
|
|
| Showcourse v |
|---|
| CourseNumber | 3030 |
|---|
| Discipline | MTH |
|---|
|
| Elements of Calculus III | 5 credits |
| |
|
| Showcourse v |
|---|
| CourseNumber | 3050 |
|---|
| Discipline | MTH |
|---|
|
| Calculus III and Vector Calculus | 4 credits |
|
|
|
| Showcourse v |
|---|
| CourseNumber | 4100 |
|---|
| Discipline | MTH |
|---|
|
| Linear Algebra and Matrix Methods | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4120 |
|---|
| Discipline | MTH |
|---|
|
| Introduction to Probability** | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4430 |
|---|
| Discipline | MTH |
|---|
|
| Mathematics of Inferential Statistics | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 3000 |
|---|
| Discipline | STA |
|---|
|
| Statistical Computing | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3920 |
|---|
| Discipline | STA |
|---|
|
| Data Mining for Business Analytics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
* | Regression and Forecasting Models for Business Applications | 3 credits |
or |
|
|
|
| Showcourse v |
|---|
| CourseNumber | 4130 |
|---|
| Discipline | MTH |
|---|
|
* | Mathematics of Data Analysis | 4 credits |
|
NOTES:
* Students can receive credit for only one of these two courses.
** Students who have completed | Showcourse v |
|---|
| CourseNumber | 3120 |
|---|
| Discipline | MTH |
|---|
|
cannot enroll in | Showcourse v |
|---|
| CourseNumber | 4120 |
|---|
| Discipline | MTH |
|---|
|
. They must satisfy the probability requirement by completing | Showcourse v |
|---|
| CourseNumber | 4119 |
|---|
| Discipline | MTH |
|---|
|
(please consult the Department of Mathematics). |
|
|
Students must take one of the following courses: *** |
| Showcourse v |
|---|
| CourseNumber | 4920 |
|---|
| Discipline | STA |
|---|
|
| Advanced Data Mining | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4158 |
|---|
| Discipline | STA |
|---|
|
| Analysis of Time Series | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4000 |
|---|
| Discipline | STA |
|---|
|
| Introduction to SAS Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3450 |
|---|
| Discipline | OPR |
|---|
|
| Quantitative Decision Making for Business I | 3 credits |
| | |
|
|
|
*** These courses may also be used as electives for the major |
| |
|
|
|
Electives Students must complete one additional course from the following list: |
| Showcourse v |
|---|
| CourseNumber | 4000 |
|---|
| Discipline | MTH |
|---|
|
| Bridge to Higher Mathematics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4010 |
|---|
| Discipline | MTH |
|---|
|
| Mathematical Analysis I | 3 credit |
| Showcourse v |
|---|
| CourseNumber | 4020 |
|---|
| Discipline | MTH |
|---|
|
| Advanced Calculus II | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4030 |
|---|
| Discipline | MTH |
|---|
|
| Topology | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4110 |
|---|
| Discipline | MTH |
|---|
|
| Ordinary Differential Equations | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4115 |
|---|
| Discipline | MTH |
|---|
|
| Numerical Methods for Differential Equations in Finance | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4125 |
|---|
| Discipline | MTH |
|---|
|
| Introduction to Stochastic Process | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4135 |
|---|
| Discipline | MTH |
|---|
|
| Computational Methods in Probability | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4140 |
|---|
| Discipline | MTH |
|---|
|
| Graph Theory | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4145 |
|---|
| Discipline | MTH |
|---|
|
| Mathematical Modeling * | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4150 |
|---|
| Discipline | MTH |
|---|
|
| Combinatorics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4200 |
|---|
| Discipline | MTH |
|---|
|
| Theory of Numbers | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4210 |
|---|
| Discipline | MTH |
|---|
|
| Elements of Modern Algebra | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4220 |
|---|
| Discipline | MTH |
|---|
|
| Introduction to Modern Geometry | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4230 |
|---|
| Discipline | MTH |
|---|
|
| History of Mathematics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4240 |
|---|
| Discipline | MTH |
|---|
|
| Differential Geometry * | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4300 |
|---|
| Discipline | MTH |
|---|
|
| Algorithms, Computers and Programming II | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4310 |
|---|
| Discipline | MTH |
|---|
|
| Methods of Numerical Analysis | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4315 |
|---|
| Discipline | MTH |
|---|
|
| Introduction to Mathematical Logic | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4320 |
|---|
| Discipline | MTH |
|---|
|
| Fundamental Algorithms | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4410 |
|---|
| Discipline | MTH |
|---|
|
| Theory of Interest | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4420 |
|---|
| Discipline | MTH |
|---|
|
| Actuarial Mathematics I | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4421 |
|---|
| Discipline | MTH |
|---|
|
| Actuarial Mathematics II | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4451 |
|---|
| Discipline | MTH |
|---|
|
| Short-Term Insurance Mathematics | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4500 |
|---|
| Discipline | MTH |
|---|
|
| Introductory Financial Mathematics | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 4600 |
|---|
| Discipline | MTH |
|---|
|
| Data Analysis and Simulation for Financial Engineers | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 5010 |
|---|
| Discipline | MTH |
|---|
|
| Advanced Calculus III * | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 5020 |
|---|
| Discipline | MTH |
|---|
|
| Theory of Functions of a Complex Variable | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 5030 |
|---|
| Discipline | MTH |
|---|
|
| Theory of Functions of Real Variables * | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 5100 |
|---|
| Discipline | MTH |
|---|
|
| Partial Differential Equations and Boundary Value Problems * | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 5500 |
|---|
| Discipline | MTH |
|---|
|
| Stochastic Calculus for Finance | 4 credits |
| Showcourse v |
|---|
| CourseNumber | 2300 |
|---|
| Discipline | CIS |
|---|
|
| Programming and Computational Thinking | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3100 |
|---|
| Discipline | CIS |
|---|
|
| Object-Oriented Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3120 |
|---|
| Discipline | CIS |
|---|
|
| Programming for Analytics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3400 |
|---|
| Discipline | CIS |
|---|
|
| Database Management Systems I | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4100 |
|---|
| Discipline | CIS |
|---|
|
| Object-Oriented Programming II | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4400 |
|---|
| Discipline | CIS |
|---|
|
| Data Warehousing for Analytics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3450 |
|---|
| Discipline | OPR |
|---|
|
| Quantitative Decision Making for Business I | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3451 |
|---|
| Discipline | OPR |
|---|
|
| Quantitative Decision Making for Business II | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 3453 |
|---|
| Discipline | OPR |
|---|
|
| Bayesian Statistical Inference and Decision Making | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4470 |
|---|
| Discipline | OPR |
|---|
|
| Special Topics in Operations Research | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 5000 |
|---|
| Discipline | OPR |
|---|
|
| Independent Study and Research in Operations Research | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4000 |
|---|
| Discipline | STA |
|---|
|
| Introduction to SAS Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4157 |
|---|
| Discipline | STA |
|---|
|
| Design and Analysis of Experimental Data | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4158 |
|---|
| Discipline | STA |
|---|
|
| Analysis of Time Series | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4170 |
|---|
| Discipline | STA |
|---|
|
| Data Visualization | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4370 |
|---|
| Discipline | STA |
|---|
|
| Special Topics in Applied Statistics | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4920 |
|---|
| Discipline | STA |
|---|
|
| Advanced Data Mining | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 5000 |
|---|
| Discipline | STA |
|---|
|
| Independent Study in Statistics | 3 credits |
| | |
|
|
|
* These courses are offered infrequently, subject to student demand. |
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: |
| Showcourse v |
|---|
| CourseNumber | 2000 |
|---|
| Discipline | STA |
|---|
|
and | Showcourse v |
|---|
| CourseNumber | 2100 |
|---|
| Discipline | STA |
|---|
|
(STA 2000 may be used for either the BA or BBA)
|
|
| Showcourse v |
|---|
| CourseNumber | 3154 |
|---|
| Discipline | STA |
|---|
|
and |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
and |
|
|
Return to Statistics: BA Major
The Minors
...
* Optional second minors open only to students pursuing a major within the Zicklin School of Business
| Anchor |
|---|
| MinorComputerApplications |
|---|
| MinorComputerApplications |
|---|
|
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 Three courses (9 credits) from any of the following: - CIS 2300, or any courses from the list of 3000-, 4000-, or 5000-level CIS courses with the exception of CIS 3270, CIS 3810, and CIS 4910;
- At most one course from either OPR3300: Quantitative Methods for Accounting or OPR3450: Quantitative Decision Making for Business I
- All prerequisites must be satisfied.
|
| Anchor |
|---|
| busminor-cybersecurity |
|---|
| busminor-cybersecurity |
|---|
|
Cybersecurity and Information Assurance (9 credits) (minor name change to "Cybersecurity" effective Spring 2023)
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 (6 credits) |
| |
|
|
| Computer Networking | 3 credits |
| Cybersecurity | 3 credits |
| Elective Courses (3 Credits) |
| | Data Visualization |
|
|
| Showcourse v |
|---|
| CourseNumber | 4350 |
|---|
| Discipline | CIS |
|---|
|
| Information Technology Audit | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4560 |
|---|
| Discipline | CIS |
|---|
|
| Ethical Hacking | 3 credits |
Return to Minors | Anchor |
|---|
| busminor-DataAnalytics |
|---|
| busminor-DataAnalytics |
|---|
|
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) |
| Programming and Computational Thinking | 3 credits |
| Data Mining for Business Analytics | 3 credits |
| Elective Courses (3 credits) - Choose one course from the following list. |
| Programming for Analytics | 3 credits |
| Database Management Systems | 3 credits |
| Applied Natural Language Processing (effective Spring 2022) | 3 credits |
| Big Data Technologies (effective Spring 2022) | 3 credits |
|
/| 3 credits |
| Data Warehousing for Analytics | 3 credits |
| Business Statistics II | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
| Regression and Forecasting Models for Business Applications | 3 credits |
| Marketing Web Analytics and Intelligence | 3 credits |
| Marketing Analytics | 3 credits |
|
Quantitative Decision Making for Business I | 3 credits |
3 credits |
| * Students receiving credit for MGT 3500/OPM 3500 will not also receive credit for OPR 3450. |
|
| Anchor |
|---|
| MinorQuantitativeMethods |
|---|
| MinorQuantitativeMethods |
|---|
|
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 Choose any three of the following (All Prerequisites must be satisfied): |
| Database Management Systems | 3 credits |
| Data Mining for Business Analytics | 3 credits |
| Object-Oriented Programming II (course title change to "Data Structures and Algorithms" effective Spring 2023) | 3 credits |
|
| Quantitative Methods for Accounting |
Quantitative Decision Making for Business I | 3 credits |
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 |
| Statistical Computing | 3 credits |
| Business Statistics II | 3 credits |
| Introduction to SAS Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
| Regression and Forecasting Models for Business Applications | 3 credits |
| Advanced Data Mining | 3 credits |
| Independent Study in Operations Research | 3 credits |
|
| Anchor |
|---|
| MinorStatistics |
|---|
| MinorStatistics |
|---|
|
Statistics
The minor in statistics consists of the courses listed below. |
|
Required Courses
Choose any three of the following (All Prerequisites must be satisfied):
|
| Statistical Computing | 3 credits |
| Business Statistics II | 3 credits |
| Sampling Theory and Practice | 3 credits |
| Introduction to SAS Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
| Regression and Forecasting Models for Business Applications | 3 credits |
| Special Topics in Applied Statistics | 3 credits |
| Advanced Data Mining | 3 credits |
| Quantitative Decision Making for Business I | 3 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 American | 3 credits |
| | 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 |
| | 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. | Anchor |
|---|
| MinorsNonBusiness |
|---|
| MinorsNonBusiness |
|---|
|
Business 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 |
| Statistical Computing | 3 credits |
| Business Statistics II | 3 credits |
| Data Mining for Business Analytics | 3 credits |
| Introduction to SAS Programming | 3 credits |
| Showcourse v |
|---|
| CourseNumber | 4155 |
|---|
| Discipline | STA |
|---|
|
| 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 |
3 credits |
Technology, Business, and the Internet |
| Programming and Computational Thinking | 3 credits |
| Object-Oriented Programming I | 3 credits |
| Spreadsheet Applications in Business | 3 credits |
| Database Management Systems | 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 |
| Programming and Computational Thinking | 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 |
| Object-Oriented Programming with Java | 3 hours; 3 credits |
| Programming for Analytics | 3 hours; 3 credits |
| Introduction to Semantic Technologies | 3 hours; 3 credits |
| Blockchain Technologies and Applications | 3 hours; 3 credits |
| Computer Ethics | 3 hours; 3 credits |
| Spreadsheet Applications in Business | 3 hours; 3 credits |
| Database Management Systems | 3 hours; 3 credits |
| E-Business Technologies | 3 hours; 3 credits |
| Computer Networking | 3 hours; 3 credits |
| Cybersecurity | 3 hours; 3 credits |
| Fintech: Principles and Applications | 3 hours; 3 credits |
| Principles of Web Design | 3 hours; 3 credits |
| Green IT | 3 hours; 3 credits |
|
3710Foundations of Business Analytics | 3 credits | | showcourse |
|---|
CIS | 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 (course title change to "Data Structures and Algorithms" effective Spring 2023) | 3 hours; 3 credits |
| Applied Natural Language Processing | 3 hours; 3 credits |
| Big Data Technologies | 3 hours; 3 credits |
| Web Applications Development | 3 hours; 3 credits |
| Data Visualization | 3 hours; 3 credits |
| Information Technology Audit | 3 hours; 3 credits |
| Data Warehousing for Analytics | 3 hours; 3 credits |
|
Networks and Telecommunications IIAdvanced Computer Networking | 3 hours; 3 credits |
| Ethical Hacking |
3 hours; 3 credits | | showcourse |
|---|
CIS 4650Operating Systems Concepts | | 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 3367HHon Sprdsht App Bus | 3 hours; 3 credits | | Hon Network & Com | 3 hours; 3 credits |
| Hon CIS I | 3 hours; 3 credits per semester |
|
Hon Honors 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 |
| Statistical Computing | 3 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 |
| 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 |
| Regression and Forecasting Models for Business Applications | 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 |
| Advanced Data Mining | 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 |
