edX Online
Background Image
Syracuse University M.S. in Cybersecurity online

Syracuse University M.S. in Cybersecurity online

Join the Orange alumni network of 250,000+ professionals, and learn to identify, prevent, and counteract the cybercrimes that threaten your organization’s critical systems and sensitive information.

No. 12

University for veterans and military-connected studentsFootnote 1

15

Months to complete

35%

Increase in projected job growth for information security analysts between 2021 and 2031Footnote 2

About the program

  • No GRE required:

    Focus on emerging as a leader in the rapidly evolving field of cybersecurity, not test scores.

  • Flexibility:

    Choose from our four cohort start dates and begin the program at the time that works best for you.

  • Orange alumni network:

    Graduates prepared to drive new developments in the field, excel in a wide variety of industries and join the College of Engineering and Computer Science’s global alumni network of more than 20,000 tech professionals.

About Syracuse University

Syracuse University is a private research university with dynamic professional programs, innovative learning opportunities, and the Orange network. Located in the heart of New York State, the university offers 200+ majors and 100+ minors to students in 60+ countries.

Tuition and fees

Tuition and feesTuition Cost$58,350

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials.

Technology and services powered by 2U, Inc., the parent company of edX.

Course spotlight: machine learning

This course examines the relationship between machine learning and computer security and outlines the basics of machine learning theory and its methodologies. In addition to evaluating complex research problems, students learn high-level topics, including:

  • Inductive learning:

    Discover the algorithms that work as the backbone of machine-learning capabilities.

  • Neural network approaches:

    Explore the functions of neural networks, a subset of machine learning that mimics the cognitive functions of the human brain.

  • Computational learning theory:

    Measure how well a machine can comprehend tasks using mathematical frameworks.

  • Fraud detection:

    Learn how to protect essential assets and information from unauthorized criminal activity.

Admissions

Prospective students interested in this program should possess a bachelor’s degree in cybersecurity or a related field from an accredited institution, with an average GPA of 3.0 or better. No GRE scores required. To complete an application, you will need to submit:

  • Official transcripts

  • Resume

  • Letters of recommendation

  • Personal statement

  • Application fee

Frequently asked questions

Want to learn more?