PhD in Applied Computing and Engineering Program – Cybersecurity Engineering

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Program Information

The cybersecurity concentration in the PhD in Applied Computing and Engineering offers prospective students a graduate program with strong foundations in theory and practice to meet the needs of technical professionals, including but not limited to those on the Eastern Shore of Maryland, with more advanced learning in the specialized discipline of cybersecurity. The cybersecurity concentration draws on the existing faculty’s expertise, research focus, and emerging research areas in related fields. The doctoral program is designed to accept bachelor’s degree holders by allowing them to be directly admitted into the program. The cybersecurity concentration in the PhD in Applied Computing and Engineering requires at least sixty (60) credit hours of graduate-level coursework beyond the bachelor’s degree.

Program Outcomes

Graduates with a Ph.D. in Applied Computing and Engineering with a concentration in Cybersecurity will be able to:

· Demonstrate in-depth knowledge of the fundamental principles, concepts, terminologies, and methodologies used to design and analyze broader areas of research.

· Demonstrate the ability to solve real-world problems.

· Demonstrate the ability to be gainfully employed in research-based industries and academia upon graduation from the program.

· Demonstrate the ability to be in leadership positions in cybersecurity and related disciplines.

· Demonstrate interdisciplinary and cross-disciplinary methods that are broadly applicable in the emerging fields of cybersecurity.

Program Learning Competencies/Outcomes

Upon completion of the program, student will be able to:

· Demonstrate foundational knowledge and skills in the cybersecurity program area.

· Demonstrate problem-solving, critical thinking, oral and written communication, and leadership skills.

· Integrate theory, discovery, and technology into practice.

Admission Criteria

To be considered for admission into the Ph.D. degree program, a student (US and international) must satisfy the university-wide requirements for admission to graduate programs established by the university’s Graduate School. However, the graduate committees for the various research areas may require higher academic standards for admitting students to the departments’ graduate programs. The applicant should have completed a bachelor’s degree in computer science, electrical engineering, computer engineering, mechatronics engineering, general engineering, or a closely related technical field from a regionally accredited undergraduate institution. In addition, each applicant should also submit a letter of intent describing their graduate studies goals and objectives, and three letters of recommendation from faculty, engineers, or supervisors that can certify their ability to pursue studies at the Ph.D. level. The applicant must submit all documents required by the graduate program to the admission office of the School of Graduate Studies.

Application Deadlines

Although the graduate program supports rolling admission, for priority consideration, please submit your complete application by the following deadlines:

» Fall Semester                   July 1st 
» Spring Semester               December 1st 
» Summer Session(s)          April 1st

Course Requirements for Graduation

The general requirements of the doctoral program are:

· A minimum of 48 semester credit hours in courses approved for graduate credit with a minimum average grade of “B” in all coursework taken.

· A minimum of 12 semester credit hours in courses numbered 700 or above.

· Successful passing of the Comprehensive Examination – Written (Core Courses) and Oral (Defense of the Dissertation Proposal) is required.

· A successful submission and defense of a dissertation is required.

Total Number of Credits and Distribution

Core Courses – 12 credits

Free Electives – 12 credits

Concentration Courses – 24 credits

Dissertation Courses – 12 credits

Total Credits Required – 60 credits

Applied Cybersecurity Engineering Curriculum Overview

Core – 12 semester credit hours.

ETCS 700 Applied Cryptography

ETCS 710 Advanced Study in Cybersecurity I

ETCS 720 Advanced Study in Cybersecurity II

ETCS 730 Cybersecurity and Intelligent Systems

Free Electives – 12 semester credit hours.

ETCS 600 Statistical Applications for Technology

ETCS 606 Applied Research for Technology

ETCS 620 Project Management for Technology

ETCS 687 Legal and Ethical Issues in Cybersecurity

ETCS 690 Master’s Seminar

Concentration Courses – 24 semester credit hours.

ETCS 625 Lean Management Principles for Cyber Systems

ETCS 630 Introduction to Cybersecurity for Industrial Control Systems

ETCS 635 Introduction to Cybersecurity and Cryptography Applications

ETCS 640 Artificial Intelligence, Blockchain and Cybersecurity

ETCS 645 Critical Infrastructure for Cybersecurity

ETCS 650 Capital Project Cost Analysis for Cyber Systems

ETCS 675 Network Performance Monitoring and Security

ETCS 676 Database and Cyber Systems

ETCS 677 Digital Forensics for Cyber Systems

ETCS 678 Mobile Wireless Networking and Security

ETCS 679 Mobile and Cloud Security

ETCS 680 Networking Technology for Industry

ETCS 681 System Integrity for Cybersecurity

ETCS 682 Cybersecurity Administration

ETCS 683 Network Intrusion, Detection, and Incidence Response

ETCS 684 Cyber Analytics and Intelligence

ETCS 685 Fundamentals of Network Security

ETCS 686 Advanced Network Security

ETCS 688 Exp Crs: Contemporary Issues in Cybersecurity

ETCS 740 Cybersecurity for Critical Infrastructure

ETCS 750 Cybersecurity for Navigation Systems

ETCS 760 Quantum Cybersecurity: AI and Critical Infrastructure Protection

Comprehensive Examinations

Comprehensive Examination – Written (Core Courses)

Comprehensive Examination – Oral (Defense of the Dissertation Proposal)

Dissertation Course – 12 semester credit hours.

ETCS 899 Doctoral Research for Dissertation

For more information on this program, please contact:

Dr. Derrek Dunn, Professor and Dean
Phone: 410 651 6348
Fax: 410 651 7829
Office: 3087 EASC Building
Email: ddunn@umes.edu