Master of Computer Science and Engineering

In this course, students acquire information retrieval skills and research competencies to identify and evaluate industry-relevant sources of information for the purposes of analysis and research in information security. Students compare and contrast the utility of publicly-available and subscription-based information sources for the purposes of meeting academic and professional requirements. (3 credits)

In this course, students will explore database design, development, data warehousing, and the usage of data specification. Students will explore how to generate, patch, and reverse engineer databases utilizing the Entity Relationship Diagram (ERD). This course also includes Best Practices in database design and management as well as usage of data specifications. (3 credits).

In this course, students will explore computer architecture and various operating systems. Students will explore processing, storage, networking, monitoring, and the inner workings of how operating systems are configured and communicate with other computers and server-based system. (3 credits)

In this course, students will learn how to apply the best practices for large-scale software system engineering, including information security, user interface, architectural design, system models, verification, and validation. Students will strengthen their technique and deepen their understanding of high-level languages and system programming. (3 credits)

In this course, students explore the eight domains of the (ISC)2 Certified Information Systems Security Professional (CISSP) Common Body of Knowledge (CBK) in information security as a framework to critically analyze security awareness issues and to evaluate best practices in implementing security systems within the enterprise (3 credits)

In this course, students evaluate the principles, attributes and processes used in designing and deploying a comprehensive and resilient layered security architecture that supports the business and technical objectives of the enterprise. (3 credits)

In this course, students utilize PMI’s Project Management Body of Knowledge (PMBOK) as a framework to apply project management concepts in the information security arena. Each student develops a project plan for a security assessment which incorporates the technical and behavioral characteristics of high-performance teams. (3 credits)

This course is designed to help students with an understanding of various methods of networking and telecommunications. The course with start with a basic foundation of networking. Topics to be covered include signal generation and analysis at the physical layer, Ethernet and WLAN performance, IP addressing and management, IP router generation, TCP connection control, and packet filtering. While the main focus of this course covers various methods of networking and telecommunications, software tools and techniques will also be examined. (3 credits)

This course is designed to help students to understand distributed system application in today’s business environment. Topics covered include peer-to-peer sharing, collaborative computing, interactive services, and distributed computing. Students will also learn the underlying principles associated with distributed systems. These principles include processes, communication, security, fault tolerance, synchronization, and naming conventions. By the end of this course, students will have a fundamental understanding of distributed computing and will have the understanding necessary to develop distributed systems and applications. (3 credits)

This course is designed to provide students with an understanding of the concepts of Cloud computing and its capabilities. The capabilities covered include Cloud service model infrastructures such as Infrastructure as a Service (Iaas), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS). This course will also include the security aspects of Cloud computing and the associated challenges. Configuration and implementation of IaaS services will also be discussed in this course. (3 credits)

Big Data Analytics provides an introduction to business intelligence and analytics. Big Data Analytics include the use of data, statistical and quantitative analysis and evidence-based methods to inform business decisions. This course is designed to help students gain an understanding of Big Data Analytics. Students will learn how to deploy Big Data applications in both a desktop and business setting. Some of the concepts discussed include Big Data Storage, processing, analysis, visualization, and applications. Students will also explore social and security issues associated with Big Data. (3 credits)

(Prerequisite: Must be taken in last term and all other courses completed) This course teaches students how proper application of Information technology enhances the overall operations of an organization and contributes to the overall success of the organization. The emphasis will be on the deployment of tools, applications, functions, and theories associated within the computer science discipline for the purpose of enhanced organization effectiveness. (3 credits)