Master of Science in Cybersecurity & Analytics

The 1-year, 30-credit MS in Cybersecurity and Analytics program is designed to provide a comprehensive understanding of two in-demand areas, cybersecurity and data analytics. In the program, students will learn core computer security concepts, such as network security, ethical hacking, and cyber-defense. Students will also learn how to analyze and predict threats based on real-time data and cyber-attacks, through computer programming, data visualization, and machine learning.

Master of Science in Cybersecurity & Analytics Degree Highlights

  • Competitively priced tuition
  • Courses aligned with major industry certifications, such as CompTIA and CISSP
  • With classes scheduled in the evening, working professionals can earn the degree in one year
  • Industry relevant curriculum geared towards student success
  • Designed for students with diverse backgrounds (Computer Science, IT, Business, Statistics, etc.)
  • Opportunity to network with notable industry leaders and professionals
  • A STEM degree program, covering modern technologies, data analytics, and network security
  • Strong emphasis on internships and job placement

STU Technology Clubs & Announcements

Career Landscape

Some of the job titles in this field include, Chief Information Security Officer, Cybersecurity Researcher, Cybersecurity Analyst, Information Security Professor, Information Privacy Scientist, Security Information Technology Expert, Forensics Expert, Chief Technology Officer, Chief Security/Privacy Officer, Senior Vice President Cybersecurity Strategy.

  • Average salary for U.S. Cyber Security professional is $116,000
  • More than 209,000 Cybersecurity jobs in the United States are available
  • The Cybersecurity profession is growing at a rate of 115% through the next 5 years
  • Worldwide shortage of Cybersecurity professionals: 1 million openings
  • Top 3 Careers in Cyber Security→

Program Format

  • 1-year program, decomposed into five consecutive 8-week terms
  • 30-credits curriculum (10 classes)
  • Evening classes on-campus, twice a week
  • Low student to faculty ratio (12:1 class size)

 

Curriculum (Course Sampling)

Cybersecurity Analytics
Fall
Internet Protocols & Network Management Security Fundamentals of Big Data Analytics
  Cyber Security Technologies Programming for Data Analytics
Spring
Cyber Security Operations Data Engineering
  Ethical Hacking for Business Data Warehousing
Summer 1
Cyber Capstone / Internship Big Data Applications

 

Featured Professors

  • Dr. B. Parenteau
    Email: bparenteau [at] stu.edu

 

Contact Graduate Admissions

  • Phone: 305-928-2865
 

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