Students in this course are introduced to the concepts of artificial intelligence and emergent areas of intelligent systems. Students have the opportunity to gain a critical understanding of knowledge representation, reasoning, machine learning, and evolutionary techniques. Students are presented with real-world problems and have the opportunity to apply "intelligent" techniques to provide solutions to these problems.

In this course students are provided with knowledge and systematic understanding of the practice of extracting evidence from computers and digital storage media. Students are provided with the knowledge whereby they can identify, extract, document, interpret, and preserve computer media as digital evidence, as well as how to analyze the root cause of security breaches. Course content covers issues such as crypto-literacy, data hiding, and hostile code.

In this course, students are provided with an in-depth understanding of the concepts of data mining, including the end-to-end processes involved and the major data mining tools and techniques in common usage. During the course, students have the opportunity to apply such tools and techniques to a variety of example data sets in order to gain a critical insight into their operation and an understanding of when and where such tools and techniques can best be applied. Students also have the opportunity, using the 'R' programming language, to implement several different kinds of data mining algorithms to gain a comprehensive understanding of their operation.

This course introduces students to Walden University and the requirements for successful participation in an online curriculum. Students work toward building a foundation for academic and professional success as scholar-practitioners and social change agents. They develop presentation and written communications skills geared toward developing a high level of competence in professional communication with colleagues, clients, novices, and IT experts. Students are introduced to the Doctoral Degree Coach®, helpful capstone resources, time management strategies, and potential doctoral study topics relevant to their field of study. Students also examine exemplar capstones to understand the journey they will be undertaking. Students learn how to use the library, develop doctoral-level writing strategies, and write a literature review. Additionally, students engage in course assignments focused on the practical application of professional writing, critical-thinking skills, and the promotion of professional and academic excellence. They also have the opportunity to prepare their Professional Development Plan and program of study.

Students in this course are provided with insight into how predictive analytics can be used within organizations. In completing this course, students have the opportunity to gain a comprehensive understanding of how results from predictive analytics can be used by organizations to grow their customer base and run operations more efficiently. This course is oriented toward the practical applications of predictive analytics.