Master of Science in Information Technology

This course introduces students to current programs and technologies that help organize, alter, analyze, and visualize data. The course will start with an overview of the R language and move on to other important tools that will be complementary, including working with regular expressions, basic UNIX tools, XML, and SQL. 3.0 credit hours.

This course emphasizes the fundamentals and major components of business analytics. The focus is on obtaining business intelligence from firm data for a wide range of applications such as customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product selection. Students will learn how to gather information and apply it to improve business performance. 3.0 credit hours.

This course introduces cloud computing, which many predict is the third big wave of computing, following mainframe and client-server computing. The course examines this technology from a corporate standpoint providing a comprehensive and integrated understanding of the cloud computing business model, technological infrastructure, and security issues that will help technology students grasp the business roadblocks and business students will understand the technology challenges. 3.0 credit hours.

Effective decision-making and management are two of the most crucial skills a business leader must have when it comes to technology. In this course, a case study will be provided that depicts several scenarios that demand proper decision-making on technology issues essential to today’s business world. Students will learn how to understand the factors and elements of these technological decisions and how to assess the risks linked with them. Technology, finance, security, project management, leadership, and other aspects of effective decision-making will be covered in this course. 3.0 credit hours.

This course focuses on the knowledge and skills required to advise an organization in making the maximum use of techniques to achieve its corporate objectives. The course emphasizes the development of broader leadership skills critical to interacting with a diverse group of stakeholders. Through case studies, role-playing, and simulation, this course will provide negotiation, persuasion, agility, coaching, and facilitation activities. Being able to grasp the components of designing and implementing the organization’s overall IT strategy is vital. This course will address the many levels of strategy as well as how students may put a strategy into action through tactical and operational plans.

The course introduces students to various network security-related issues and examines them. Different types of VPNs for securing data in an organizational setup are explored as well as the benefits and architecture of a VPN and how to implement a VPN. Other topics include the utility of firewalls in tackling security problems and the limitations of a firewall. 3.0 credit hours.

This course examines approaches for improving application development security and thwarting attacker efforts to modify code. It also investigates the software lifecycle and change control to lessen the likelihood of poorly developed apps that allow an attacker to exploit code mistakes. The course will introduce database development models, with an emphasis on selecting the right model to improve security. This course will also discuss tactics and strategies for safeguarding PCs running Microsoft Windows and related apps. The course explains the Windows operating system platforms and significant areas of security vulnerabilities, with a focus on Windows Server 2012 and newer editions, as well as Windows 10 for clients. Students will learn how to examine Windows systems for security flaws and how to safeguard them. 3.0 credit hours.

The course looks at incident response and catastrophe recovery principles. Furthermore, it will discuss ways for identifying vulnerabilities in computer networks as well as solutions for limiting risks and damage. 3.0 credit hours.

The course focuses on cybercrime, as well as rules and regulations. It covers methods for investigating a crime, obtaining evidence, and communicating findings. 3.0 credit hours.

This course introduces students to current data mining ideas, processes, tools, and approaches. Students will examine and mine data with software using hands-on applications. By the completion of this course, the student should have a better understanding of how data mining is used and what is involved in data mining projects. 3.0 credit hours.

Students will apply what they are learning in the curriculum to the real world through work, internship experiences, or project-based learning. The Practicum Learning Experience can be (1) an alternative work/study, internship, or cooperative education, (2) employment in an area directly related to the student’s course of study, or (3) a project carried out in collaboration with the program faculty that applies the academic work to a professional environment. Before the student can begin field placement work, the University will have a Cooperative Agreement with all practicum or internship locations through this course. Prior approval is required to evaluate whether the experience is compatible with the program of the student and aligns to the program learning outcomes. The course is required each semester that a student is enrolled and is an essential component of the executive degree program.