Business Analytics and Information Systems, BBA
Program Description
Students of Business Analytics and Information Systems major are ideally suited to enter the dynamic world of business in the role of business analyst, business intelligence analyst, consulting, systems analyst, database administrator, and many others.
This major is offered on the Island Campus.
Students should complete Complete the Business Foundation Curriculum in the freshman and sophomore years.
BBA Student Learning Goals and Objectives
- G1. To Be Effective Communicators
- CG1.O1 – Demonstrate the ability to write professionally
- CG1.O2 – Prepare and deliver professional presentations
- CG1.O3 – Practice professional interactions
- G2. To Be Competent in Business Practices
- CG2.O1 – Demonstrate key concepts in business disciplines
- CG2.O2 – Use technology to analyze relevant data
- G3. To Be Good Decision Makers
- CG3.O1 – Identify key factors for decision making
- CG3.O2 – Analyze alternative solutions and make a decision
- G4. To Be Good Citizens
- CG4.O1 – Identify ethical concepts
In addition, all Business Analytics and Information Systems Majors will demonstrate basic knowledge of Business Analytics and Information Systems theories and an understanding of how to apply concepts correctly.
General Requirements
| Requirements | Credit Hours |
|---|---|
| Core Curriculum Program | 42 |
| First-Year Seminars (when applicable)1 | 0-2 |
| Business Core | 45 |
| Management Information Systems Major Requirements | 24 |
| Electives | 9 |
| Total Credit Hours | 120-122 |
- 1
Full-time, first time in college students are required to take the first-year seminars.
Program Requirements
| Code | Title | Hours |
|---|---|---|
| Full-time, First-Year Students | ||
| UNIV 1101 | University Seminar I * | 1 |
| UNIV 1102 | University Seminar II * | 1 |
| Core Curriculum Program | ||
| University Core Curriculum | 42 | |
| Business majors are required to complete the following courses as part of their University Core Curriculum Program: | ||
| Macroeconomics Principles * | ||
| Mathematics for Business and Social Sciences 1 | ||
| Business Core | ||
| BUSI 0011 | COB Orientation 2,* | 0 |
| ACCT 2301 | Financial Accounting | 3 |
| ACCT 2302 | Managerial Accounting | 3 |
| BAIS 2301 | Computer Applications in Business * | 3 |
| BAIS 3310 | Management Information Systems Concepts *,^ | 3 |
| BAIS 3311 | Data Analysis and Statistics * | 3 |
| BLAW 3310 | Legal Environment of Business * | 3 |
| ECON 2302 | Microeconomics Principles * | 3 |
| FINA 3310 | Financial Management * | 3 |
| MATH 1325 | Calculus for Business & Social Sciences 1 | 3 |
| MGMT 3310 | Principles of Management | 3 |
| MGMT 3315 | Business Communications * | 3 |
| MGMT 4388 | Business Strategy * | 3 |
| MKTG 3310 | Principles of Marketing * | 3 |
| OPSY 4314 | Operations Management * | 3 |
| International Business Course | ||
| Select one of the following depending on major: | 3 | |
| Multinational Entities: Accounting and Consolidations (for Accounting Major) 3,* | ||
| International Economic Issues (for Business Economics Major) | ||
| International Finance (for Finance Major) | ||
| Multinational Management (for Management Major) * | ||
| International Marketing (for Marketing Major) | ||
| International Business (for all other Majors) | ||
| Business Analytics and Information Systems Major Requirements | ||
| BAIS 3320 | Database Management | 3 |
| BAIS 3330 | Programing in Business Analytics | 3 |
| BAIS 3340 | Business Intelligence and Analytics | 3 |
| BAIS 4310 | Decision Modeling in Business | 3 |
| BAIS 4320 | Data Mining for Business Intelligence | 3 |
| BAIS 4330 | Predictive Analytics | 3 |
| Business Analytics and Information Systems Electives | ||
| Select 6 hours from the following: | 6 | |
| Data Analytics for Accounting | ||
| Systems Analysis and Design | ||
| Business Data Communication and Networking | ||
| Electronic Commerce Management | ||
| Website Development for Business | ||
| IT Project Management | ||
| Big Data Analytics | ||
| Current Topics in Business Analytics and Information Systems | ||
| Directed Individual Study | ||
| Internship in Business Analytics and Information Systems | ||
| Introduction to Econometrics | ||
| Marketing Research | ||
| Electives | ||
| Upper-level Business Elective | 3 | |
| Business Elective | 3 | |
| Non-Business or Business Elective | 3 | |
| Total Hours | 122 | |
- 1
Higher level mathematics course may be accepted as a substitute with approval.
- 2
All Business Majors and Minors must complete BUSI 0011 COB Orientation (0 sch) before or during their first semester enrolled in upper-division Business courses.
- 3
ACCT 3318 Multinational Entities: Accounting and Consolidations (3 sch) may be taken as either International Business Course or as an Accounting Elective but not both.
- *
Online offering
- ^
Blended offering
Note:
Course prerequisites are strictly enforced.
Course Sequencing
| First Year | ||
|---|---|---|
| Fall | Hours | |
| BUSI 0011 | COB Orientation | 0 |
| Creative Arts Core Requirement | 3 | |
| ECON 2301 | Macroeconomics Principles | 3 |
| HIST 1301 | U.S. History to 1865 | 3 |
| Life & Physical Science Core Requirement | 3 | |
| UNIV 1101 | University Seminar I | 1 |
| ENGL 1301 | Writing and Rhetoric I | 3 |
| Hours | 16 | |
| Spring | ||
| COMM 1311 | Foundation of Communication | 3 |
| HIST 1302 | U.S. History Since 1865 | 3 |
| ECON 2302 | Microeconomics Principles | 3 |
| Language, Philpsophy & Culture Core Requirement | 3 | |
| MATH 1324 | Mathematics for Business and Social Sciences | 3 |
| UNIV 1102 | University Seminar II | 1 |
| Hours | 16 | |
| Second Year | ||
| Fall | ||
| ACCT 2301 | Financial Accounting | 3 |
| Business Elective | 3 | |
| Component Area Option Core Requirement | 3 | |
| MATH 1325 | Calculus for Business & Social Sciences | 3 |
| POLS 2305 | U.S. Government and Politics | 3 |
| Hours | 15 | |
| Spring | ||
| ACCT 2302 | Managerial Accounting | 3 |
| Component Area Option Core Requirement | 3 | |
| Life & Physical Science Core Requirement | 3 | |
| BAIS 2301 | Computer Applications in Business | 3 |
| POLS 2306 | State and Local Government | 3 |
| Hours | 15 | |
| Third Year | ||
| Fall | ||
| BAIS 3311 | Data Analysis and Statistics | 3 |
| BAIS 3310 | Management Information Systems Concepts | 3 |
| BAIS 3320 | Database Management | 3 |
| BAIS 3330 | Programing in Business Analytics | 3 |
| BLAW 3310 | Legal Environment of Business | 3 |
| Hours | 15 | |
| Spring | ||
| FINA 3310 | Financial Management | 3 |
| MKTG 3310 | Principles of Marketing | 3 |
| BAIS 3340 | Business Intelligence and Analytics | 3 |
| BAIS 4310 | Decision Modeling in Business | 3 |
| BAIS Elective | 3 | |
| Hours | 15 | |
| Fourth Year | ||
| Fall | ||
| MGMT 3310 | Principles of Management | 3 |
| OPSY 4314 | Operations Management | 3 |
| International Business Course | 3 | |
| BAIS 4320 | Data Mining for Business Intelligence | 3 |
| MGMT 3315 | Business Communications | 3 |
| Hours | 15 | |
| Spring | ||
| BAIS 4330 | Predictive Analytics | 3 |
| BAIS Elective | 3 | |
| Upper Level Business Elective | 3 | |
| MGMT 4388 | Business Strategy | 3 |
| Non Business Elective | 3 | |
| Hours | 15 | |
| Total Hours | 122 | |
Courses
Survey of modern business computer hardware, software, and applications. Opportunities to create programs and use existing application software to solve various management information technology-oriented problems. Emphasizes the end-user's perspective, and interactions with management information technology.
Provides an understanding of the importance of computer-based information in the success of the firm. Illustrates ways in which companies utilize computer systems to strategically compete within certain industries. Emphasis is on the role of information systems within each of the functional areas of business. Major concepts include data management, decision support, and management information systems. BUSI 0011, BAIS 2301, and Junior standing or above.
Concepts and methodology of data base planning, design, development, and management of the computerized data base of a management information system. The emphasis is on logical data base design and a study of hierarchical, network, and relational implementations. Normalization exercises are completed relative to the logical design of relational data bases. Exercises and assignments use a relational DBMS package. Junior standing or above.
This course introduces students to the fundamental techniques used in the development and programming of software applications. This course is designed for students who have little or no previous computer programming experience. This course will use a scripting and/or visual development programming language. Junior standing or above.
Overview of important concepts of business intelligence, and the use of analytics, technologies, applications and processes used by organizations to gain data-driven insights. These insights and predictions can be used to aid decision-making and performance management across functional areas, including marketing, operations, and finance. Students will learn to extract and manipulate data, and create reports, scorecards and dashboards, including mobile apps. ONLY Juniors or Seniors or Post-Baccalaureate for BAIS 3340
Develops ability to analyze an existing information system within an organization, to identify information requirements, and to specify the functions of a new information system. Includes cost/benefit analysis of proposed information systems. Exercises and assignments use a Computer Aided Software Engineering (CASE) tool. Junior standing or above.
Characteristics of contemporary business data communication components, their configurations, and their impact on management information systems design. Topics include designing, managing, securing, and implementing business data communication networks, and their integration into management information systems. Exercises and assignments use various data communication facilities. Junior standing or above.
Introduction to prescriptive analytic tools and techniques that can be used to analyze business decision problems and create business value. Topics may include linear programming, decision analysis, transportation and network modeling, inventory planning, queuing analysis, and simulation modeling. Students will have a hands-on learning experience with software such as Excel Solver to develop models and solve them. The applications could be from all functional areas.
A broad overview of electronic commerce topics as they relate to various users. General coverage includes electronic commerce history, opportunities, limitations, and risks. Technical discussions include the internet, intranets, extranets, firewalls, security, protocols, servers, and browsers. Junior standing or above.
Predictive analytics involves extracting useful information from historical data to help predict the future outcomes of business decisions. Students will be introduced to the stages of the data analytics lifecycle and the various methods of predictive modeling for business.
Prerequisite: BAIS 3311.
This course provides an understanding of the principles and techniques for client-side web development using HTML and CSS. Text editors and the website development software will be used to create and maintain websites. This course includes designing to meet web standards, including accessibility, usability, and workflow for web design. Junior standing or above.
This course covers issues related to managing projects in organizations. The course focuses on the management of projects and working as a team. Students are expected to draw on materials from other management information system courses, especially the System Analysis and Design, and Database Management courses.
Prerequisite: BAIS 3320.
This course is designed to provide a basic understanding of what big data analysis entails. The course intends to familiarize students with big data analysis as a tool for addressing substantive research questions. The course includes practical exercises to provide students with hands-on experience in handling and analyzing large, complex, and unstructured data.
Selected topics for special study related to business analytics and information systems. Junior standing or above, and others depending on topic. Contact the Dean's office for information.
Individual supervised study and a final report. Permission of instructor, Junior standing or above, and others depending on selected topic. Inquire at the Dean's office for information.
Supervised practical experience in business computer systems. BAIS major, Junior standing or above, and others depending on selected internship. Students must be accepted prior to registration. May not be repeated for credit.
In the information age, organizations can and do collect massive amounts of data. Yet organizations are often "data rich" but "information and knowledge poor". This course is designed to prepare business professionals who, by using analytical methods and data mining and data visualization tools will be able to harness the potential of data by extracting business intelligence that can be used to improve decisions and operations at various points in the value chain.
Prerequisite: MISY 2305, 3330 and ORMS 3310.