- Graduates will be able to apply program-specific knowledge to address practical problems using an ethical, evidence-based framework.
- Graduates will be able to utilize argumentation skills appropriate for a given problem or context.
- Graduates will be able to construct and implement networks and data management systems that protect intellectual property using cybersecurity principles.
- Graduates will be able to apply information security principles to analyze, detect and mitigate vulnerabilities and intrusions.
Admission Requirements
- Completed application
- Undergraduate degree (most successful applicants have an undergraduate grade point average of 3.0 or better)
- Official transcript from a degree-granting institution
- Statement of purpose (about 500 words)
- Resume or curriculum vitae
- External reference recommendations (encouraged but not required)
Upon admission, a new online student* must successfully complete a virtual meeting with their academic coach to be enrolled in first-term coursework.
- *
This is for 100% online students only. International on-campus graduate students will meet their academic coach at on-campus orientation.
Requirements for International Students
All admission policies and requirements for domestic students apply to international students, along with the following:
- Applicants must demonstrate English language proficiency. Some examples of demonstrated English language proficiency include minimum score requirements for the following standardized tests:
- Paper-based TOEFL: 550
- Internet-based TOEFL: 80
- IELTS: 6.5
- PTE: 54
• Academic records, in English translation, of students who have undertaken post-secondary studies outside the United States must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.
Program Requirements
Code | Title | Credits |
---|---|---|
Graduate Core Courses | ||
AA 5221 | Applied Analytics & Methods I † | 3 |
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Foundation Courses | ||
AA 5050 | Programming & Problem Solving | 3 |
CYBR 5000 | Cybersecurity Principles | 3 |
CYBR 5010 | Networking Concepts | 3 |
CYBR 5030 | Cyber Threats and Defense | 3 |
CYBR 5210 | Digital Investigations | 3 |
Cybersecurity Electives | 9 | |
CYBR 5220 | Incident Response and Mitigation | |
CYBR 5230 | Intrusion Detection and Analysis | |
CYBR 5240 | Cloud Security | |
Master's Project | ||
Select 3 credits from one of the options below: | 3 | |
CYBR 5960 | Masters Research Project | |
Total Credits | 33 |
- †
Former business students may substitute OPM 5020 Applied Business Statistics (3 cr) for AA 5221 Applied Analytics & Methods I (3 cr)
Continuation Standards
Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
100% Online Roadmap
Year One | ||
---|---|---|
Fall | Credits | |
Fall 1 | ||
CYBR 5000 | Cybersecurity Principles | 3 |
CYBR 5020 | Data Administration | 3 |
Fall 2 | ||
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Credits | 9 | |
Spring | ||
Spring 1 | ||
AA 5221 | Applied Analytics & Methods I | 3 |
CYBR 5010 | Networking Concepts | 3 |
Spring 2 | ||
CYBR 5030 | Cyber Threats and Defense | 3 |
Credits | 9 | |
Summer | ||
Summer 1 | ||
CYBR 5210 | Digital Investigations | 3 |
Summer 2 | ||
CYBR 5220 | Incident Response and Mitigation | 3 |
Credits | 6 | |
Year Two | ||
Fall | ||
Fall 1 | ||
CYBR 5230 | Intrusion Detection and Analysis | 3 |
Fall 2 | ||
CYBR 5240 | Cloud Security | 3 |
Credits | 6 | |
Spring | ||
Spring 1 | ||
CYBR 5960 | Masters Research Project | 3 |
Credits | 3 | |
Total Credits | 33 |
On-Campus Roadmap
Year One | ||
---|---|---|
Fall | Credits | |
Fall 1 | ||
CYBR 5000 | Cybersecurity Principles | 3 |
Fall 2 | ||
CYBR 5020 | Data Administration | 3 |
CYBR 5210 | Digital Investigations | 3 |
Credits | 9 | |
Spring | ||
Spring 1 | ||
CYBR 5010 | Networking Concepts | 3 |
CYBR 5030 | Cyber Threats and Defense | 3 |
Spring 2 | ||
CYBR 5230 | Intrusion Detection and Analysis | 3 |
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Credits | 12 | |
Year Two | ||
Fall | ||
Fall 1 | ||
AA 5221 | Applied Analytics & Methods I | 3 |
CYBR 5220 | Incident Response and Mitigation | 3 |
Fall 2 | ||
CYBR 5240 | Cloud Security | 3 |
CYBR 5960 | Masters Research Project | 3 |
Credits | 12 | |
Total Credits | 33 |
For additional admission questions, please call 314-977-2330 or email sps@slu.edu.