Online Doctor of Engineering in Cybersecurity Analytics

We are now accepting applications for the cohort starting in January 2023.


The priority application deadline is October 15th, 2022. Qualified applicants who submit the application packet and transcripts before this deadline will be guaranteed a seat in the upcoming cohort. The final application deadline is November 15, 2022.


Download the current Program flyer

Visit the Application Page to apply

Introduction

The School of Engineering and Applied Science Online Programs awards the Doctor of Engineering (D.Eng.) degree in Cybersecurity Analytics. Offered on weekends, this D.Eng. cohort will begin in January 2023 with a target graduation date of December 2024. Applicants should hold a master’s degree in engineering, applied science, mathematics, computer science, information technology or related field from an accredited institution.

The D.Eng. in Cybersecurity Analytics empowers the student to plan and implement security measures to protect an organization’s network and systems, implement strategies to track threats and monitor networks for security breaches, build secure and resilient computer systems with subject matter expertise in cybersecurity analytics, advanced tools and techniques for ensuring confidentiality, integrity, and availability of an organization’s data and systems.

Program Objectives

The objectives of the Doctor of Engineering in Cybersecurity Analytics are to ensure that graduates:

  • Understand and apply the process of cybersecurity analytics methods to improve the readiness of organizations to identity, prevent, and respond to cybersecurity exploits from criminal and nation state adversaries.
  • Produce a praxis for use by practicing cybersecurity professionals to identify novel approaches, security architectures, and applications of technology to address real-world security concerns and common challenges in protecting digital assets.
  • Apply expertise and knowledge gained during the program to drive the strategic vision of their organization to advance cybersecurity capabilities and leverage emerging technology to protect vital digital assets and enhance mission effectiveness.

Program Format

The degree requires 30 credit hours of graduate level courses and a minimum of 15 credit hours of research during which the student writes and defends a praxis paper on a topic related to Cybersecurity Analytics, chosen by the student and approved by the advising committee.

Classroom Phase

Course sessions last 10 weeks. Classes meet Saturday mornings from 9:00 am-12:00 pm and afternoons from 1:00-4:00 pm (all times Eastern). This program is taught in an accelerated, cohort format in which students take all courses in lock step. Attendance at all class meetings is expected, and students must remain continuously enrolled; i.e., leaves of absence are permitted only in medical or family emergency, or in case of deployment to active military duty.

Session #Course #Credit Hours Tentative Dates
Spring-1 2023 2 6 January 7 – March 11, 2023
Spring-2 2023 2 6 March 18 – May 20, 2023
Summer 2023 2 6 June 3 – August 5, 2023
Fall-1 2023 2 6 August 12 – October 14, 2023
Fall-2 2023 2 6 October 21 – January 13, 2024

* No classes on Memorial Day, Thanksgiving, Christmas, and New Year Weekends

Research Phase

Upon successful completion of the classroom phase, students are registered for a minimum of 15 credit hours (ch) of SEAS 8199 Praxis Research: 6 ch in Fall 2023, 6 ch in Spring 2024 and 3 ch in Summer 2024. Throughout the research phase, the student develops the praxis on an advisor-approved topic related to cybersecurity. Faculty research directors meet with students at least once per month.

Research Areas for Praxis

The following are examples of the research areas that our current students are pursuing:

  • Addressing the Cybersecurity Malicious Insider threat
  • Exploring Cybersecurity Requirements in the Defense Acquisition Process
  • Internet of Things Device Cybersecurity
  • Cybersecurity of Networked Home Medical Devices
  • Cybersecurity Challenges in Healthcare Industries

Graduation and Scholarship Requirements

To meet graduation requirements, D.Eng. students can have no grades below B-, and must complete the classroom phase of the program with a GPA of 3.2 or higher. If a doctoral student receives any grade below B-, graduate study is terminated and further enrollment is prohibited.

Tuition

All classes meet live online through synchronous distance learning technologies. Classes are recorded for future viewing. Tuition is billed at $1625 per credit hour for the 2022-2023 year. A non-refundable tuition deposit of $995, which is applied to tuition in the first semester, is required when the student accepts admission.

Visit the Application Page to apply

Download the current Program flyer

Subscribe to our email list!

To receive additional information via email about GW’s online Doctor of Engineering Program in Cybersecurity Analytics, as it is announced please fill out the form below.

    * Indicates Required. Your Privacy is Protected.

    The George Washington University respects your privacy. By submitting this form, you give your express consent to receive emails, calls and text messages, which may use automated technology, from a representative of GW. Message and data rates may apply. We need your consent to contact you, but you can enroll without consenting to our contacting you by calling us at the phone number displayed on this site.