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Semester One
This course is designed to provide students with a basic understanding of database management systems (DBMS) and the skills needed to design and implement a relational database. Students will be introduced to data modeling concepts, modeling tools, the process of transforming conceptual models into relational database designs, and finally the steps needed to implement those designs. Emphasis is placed on Entity-Relationship diagramming, data normalization, database administration, and data definition, data manipulation and query development using Structured Query Language (SQL). Other topics covered include: object-oriented databases, database security and integrity, web/database integration, application development in a Client/Server environment, distributed databases, data warehousing, data mining and knowledge management via the Internet to support electronic commerce. Readings, lectures, interactive case assignments and a database design project reinforce the role of DBMS in supporting organizational systems, transaction processing and decision support applications.
Credits: 3
Semesters offered: Fall 2023
This course covers the fundamental concepts in statistics that are essential for business and data analytics. Probability Theory and Sampling Theory are the two foundations of both descriptive and predictive forms of analytics. Building from these foundations, students are introduced to the statistical concepts of data analysis. Topics covered include: descriptive statistics, probability theory, discrete and continuous probability distributions, sampling theory, estimation, hypothesis testing, distribution fitting using chi-square tests, simple and multiple linear regression, introduction to causal modeling and predictive data analytics. MS-Excel based data modeling will be used extensively throughout the exposition of the concepts.
Credits: 3
Semesters offered: Fall 2023 | Spring 2024
Total credits: 6
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This course provides an introduction to the systems development life cycle (SDLC) emphasizing the recent adaptive approaches to SDLC, such as the unified process life cycle and agile methods. The course focuses on the disciplines of business modeling, requirements analysis, and logical design and utilizes the Unified Modeling Language (UML) for analysis, modeling, and design of business-oriented information systems. Information assurance issues of system controls and security are covered with respect to their impact on system requirements and design models.
Credits: 3
Semesters offered: Spring 2024
This course teaches the technical and managerial skills needed in developing predictive analytics applications which are used by customer-centric corporations - retail, financial, communication, and marketing groups - to help make decisions involving complex systems. The course concentrates on a set of well-known predictive analytics methods to support business decision making. Topics such as association rule mining, decision trees, neural networks, regression analysis and cluster analysis are covered in great depth. Extensive hands-on experience using software such as SAS Enterprise Miner is provided.
Credits: 3
Semesters offered: Fall 2023 | Spring 2024
Introduction to Business is intended to prepare students with little or no background in business management for their future professional careers, and studies in specific business disciplines. The first half of the semester covers a broad discussion of the language of business, focusing primarily on Accounting and Finance principles and fundamentals. The second half of the course focuses on Marketing products and services and managing Human Resources which maximize value for the organization.
Credits: 3
Semesters offered:
Capstone experience for the MS in Management Information Systems Program.
Credits: 1
Semesters offered: Fall 2023
OR
This course is geared towards providing the student with practical experience in relevant academic areas through an internship with an external organization or project within the university under the academic supervision of a faculty mentor in the MSS department. The course will allow the student to integrate knowledge and skills acquired in their academic program through their application in a practical setting.
Credits: variable
Semesters offered: Spring 2024
NOTE: During the spring, MGS 649 is for domestic students only. International students who choose to complete an industry internship must take MGS 649 during the summer ONLY.
• Three electives (3 credits each)
Each of the courses, except MGS 649, is 3 credit hours.
*Students without a business background are required to take MGG 503 and MGQ 606; students with a business background may be waived from these courses.
MGS 614 is a component of the Information Assurance certificate. If you take three of these elective courses, you will be eligible for the certificate in addition to the MS degree. See additional information on the Information Assurance certificate.