AI Intelligence Engineering | Cybersecurity

Computer Security Concentration
The Computer Security concentration focuses on fundamental security topics that arise in the design, analysis, and implementation of distributed systems. This concentration provides in-depth coverage of the theory and application of identity, authentication, access control, auditing, assessment & prevention of software vulnerabilities, and cryptography, in the context of modern enterprise-scale & web-based systems..Online Learning Learning opportunities are available for this concentration.
Master of Science 2024 through2025

Cybersecurity


About the Program Untitled 1

Artificial Intelligence Engineering Concentration


Displaying Spring 2024-2025 Course Availability
  • In-Class
  • In-Class and Online
  • Online Only
  • Not Offered This Quarter
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Curriculum Requirements

Introductory Courses

Introductory courses may be waived for any of the following conditions:

  • The student has the appropriate course work to satisfy an Introductory Course.
  • The student has appropriate and verified professional experience to satisfy an Introductory Course.
  • If an exam is available, the student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.
  • CSC 400 Discrete Structures for Computer Science
  • CSC 401 Introduction to Programming
  • CSC 402 Data Structures I
  • CSC 403 Data Structures II
  • CSC 412 Tools and Techniques for Computational Analysis
  • IT 403 Statistics and Data Analysis

Foundation Courses

  • CSC 421 Applied Algorithms and Structures
  • CSC 480 Artificial Intelligence I
  • CSC 578 Neural Networks and Deep Learning
  • CSEC 440 Information Security Management
  • CSEC 454 Applied Machine Learning for Cybersecurity
  • CSEC 477 Governance Policies in Information Assurance
  • CSEC 533 Enterprise Security Infrastructure Controls and Regulatory Compliance
  • CSEC 428 It Risk Management
    OR CSEC 445 Human-Centered Cybersecurity
    OR CSEC 448 Online Misinformation and Disinformation Operations
  • DSC 540 Advanced Machine Learning

  • Select two (2) courses below:

    • CSEC 428 It Risk Management
    • CSEC 445 Human-Centered Cybersecurity
    • CSEC 448 Online Misinformation and Disinformation Operations
    • CSEC 456 Applied Social Engineering
    • CSEC 466 Critical Infrastructure and Control Systems Cybersecurity
    • DSC 430 Python Programming
    • DSC 441 Fundamentals of Data Science
    • DSC 450 Database Processing for Large-Scale Analytics
    • Any CSEC 500-level course

Capstone

  • CSEC 594 Computer Information and Network Security Capstone




Degree Requirements

Students in this degree program must meet the following requirements:

  • Complete a minimum of 48 graduate credit hours in addition to any required introductory courses of the designated degree program.
  • Complete all graduate courses and requirements listed in the designated degree program.
  • Earn a grade of C- or better in all courses of the designated degree program.
  • Achieve a GPA of 3.0 or better among the five foundation courses.
  • Maintain a cumulative GPA of 2.5 or higher.
  • Students pursuing a second (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.
  • Students pursuing a second master's degree must complete a minimum of 48 graduate credit hours beyond their first designated degree program in addition to any required introductory courses in their second designated degree program.

Students with a GPA of 3.9 or higher will graduate with distinction.

For DePaul's policy on repeat graduate courses and a complete list of academic policies see the DePaul Graduate Handbook in the Course Catalog.