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IS 6006 - Information Systems Management

Prerequisite: Graduate standing.

This course cover concepts methodologies and frameworks related to leading and managing the IS function in the organization, information systems strategic planning, acquiring information systems/technology, and managing information systems projects in addition to the ethical and security related issues related to managing information systems in modern organization.

Credit: 3 to 4


IS 6022 - Methods in Project Management

Prerequisite: Graduate standing.

This course combines project management topics with modern methods of software support. Students study initiating, planning, executing, monitoring/controlling and closing processes of predictive project management. Students also experience Agile project management. Students will be able to analyze a project situation for its applicability to an Agile or predictive approach.

Credit: 3 to 4


IS 6041 - Business Analytics for the Big Data Revolution

Course Restriction: Restricted to Graduate Students.

This course provides students with the fundamental theories, concepts and tools to understand the emerging role of business analytics in modern organizations, apply visualization techniques, and communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.

Credit: 3


IS 6066 - Enterprise Data Management

Prerequisite: Graduate standing.

This course provides an overview of enterprise data management systems. Course topics include data modeling, SQL and NoSQL programming, data quality and integration, Big Data, database administration, and security. Students will investigate relational and non-relational models and be able to recommend an appropriate approach based on system requirements.

Credit: 3 to 4


IS 6230 - Knowledge Management

Prerequisite: Graduate standing.

The course provides an awareness of current theories and best practices associated with knowledge management (KM). Using a seminar approach, IS 6230 will ask students to become expert in the areas of: identifying and valuing knowledge assets, properly managing intellectual capital, choosing and evaluating KM information architectures, and developing appropriate KM strategies for complex organizations.

Credit: 3


IS 6260 - Network Analysis

Prerequisite: Graduate standing.

Network analysis is used in the study of diverse structures such as the internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the web graph, electrical circuits and project plans. This course focuses on the methodological foundations which have become a prerequisite for researchers and practitioners working with network models.

Credit: 3


IS 6281 - Data Mining for Big Data Analytics

Prerequisite: Graduate standing.

Big Data is the oil of the new digital economy. In this course, students will gain a better understanding of both well-established and cutting-edge methodologies, algorithms, techniques, and tools being employed to clean, prepare, and mine large volumes of data to extract meaningful business insights.

Credit: 3 to 4


IS 6341 - Information Security Foundations

Prerequisite: Graduate standing.

This course provides a comprehensive introduction to information systems security and privacy. Topics include: system security analysis, security system design principles, security analysis tools, modern security practices, and testing. Using a combination of research and hands-on methods, students become familiar with modern encryption methods, security beach detection, and security audits.

Credit: 3 to 4


IS 6351 - Information Security Management

Prerequisite: Graduate standing.

This course provides a comprehensive introduction to information security management. Topics include: Information Security Governance, Information Security Risk Management, Information Security Program Development and Management, Information Security Incident Management (ISIM).

Credit: 3 to 4


IS 6360 - Big Data

Prerequisite: Graduate standing.

This course comprehensively covers methods for the design, implementation, and managing of big data analytics. This course is designed to be a hands-on learning experience with a focus on technologies and modeling methods for large-scale, distributed analytics. Upon successful completion of the course, members will become familiar with the fundamental concepts of big data management, recognize challenges and understand how big data impacts business intelligence including proposing scalable solutions for organizations.

Credit: 3


IS 6910 - Special Topics in Information Systems

Prerequisite: Graduate standing

This is a special topics course in Information Systems that contains subject matter or content intended to address specialized issues that are contemporary within the Information Systems field of study.

Credit: 1 to 3


IS 6990 - Internship

Prerequisite: At least a 2.7 GPA for undergraduate level and a 3.0 for graduate

Internships provide students with applied, experiential learning opportunities so that they can make connections between academic study and the practical application of that study in a professional work environment. Academic internships are supervised by a faculty member and an on-site professional supervisor. All academic internships must be approved in advance by the department or program. Unless stipulated otherwise by the department or program, credit hours are defined by the university's credit hour policy. Internships may be repeated for a total of 9 credit hours.

Credit: 1 to 3


IS 6997 - Selected Topics in Information Systems

Prerequisite: Graduate standing.

Directed individualized readings. Course content will vary as set forth in an approved syllabus. May be repeated when content has changed.

Credit: 1 to 3


IS 7500 - MSIS Integrated Capstone

Prerequisite: Graduate standing.

The courses is a capstone seminar focusing on the strategic perspective for aligning competitive strategy, core competencies, and the design and management of organizational information systems. Additionally, the course includes a project allowing students to demonstrate their ability to plan and implement an information systems project in a client setting.

Credit: 3 to 4