MS in Cybersecurity
with an Emphasis in Data Analytics

Big Data Means Big Opportunities

Request Free Program Info

Step 1 of 2

We respect your privacy. Submitting this form constitutes your express written consent to receive emails, phone calls, text messages and/or other media from Webster University at the phone number(s) or email(s) received, including a wireless number(s). These emails, texts, calls or other media may be generated using automated technology. You may opt out of receiving any of these communications at any time. You are not required to provide this consent to receive services from Webster University.

Locations Offered
Webster University Online
or In Person
2.5 Years
Time to Completion
Cost Per Credit Hour
Credit Hours Required

Address real-world problems with real data

Propose and execute real-world solutions to a variety of industrial obstacles using analyzed data. Earn your Master of Science degree in Cybersecurity with an Emphasis in Data Analytics from Webster University. Better apply cyber knowledge and data skills to meet business needs in a secure, data-driven way.

Take an analytical approach to your master’s

Built for data-directed learners

Webster’s Cybersecurity and Data Analytics master’s degree is an excellent next step for computer-minded professionals seeking a deeper understanding of big data and its applications in industry. To enter this program, you must have:

Expand your cyber and data expertise

Build on the cybersecurity and critical thinking skills you already have as you’re introduced to Python, R and other analytics essentials. Upon graduation, you will be capable of:

Data-driven, career-elevating classes

To earn Webster’s Cybersecurity MS with an Emphasis in Data Analytics, you must complete 39 total credit hours: 21 hours of cybersecurity core courses and 18 hours of data analytics emphasis courses.

Courses you will take

Cybersecurity Core Courses (21 credit hours)
  • Cybersecurity Forensics
  • Cybersecurity Infrastructures
  • Cybersecurity Threat Detection
  • Encryption Methods and Techniques
  • Practical Research in Cybersecurity
  • Secure Software Design and Threat Analysis
  • Social Engineering

Data Analytics Emphasis Courses (18 credit hours)
  • Applied Business Statistics
  • Analytics Applications using Python
  • Analytics Programming with R
  • Databases and Data Warehouses
  • Data Mining
  • Data Visualization

Learn More About Courses

Learn online or in St. Louis

Benefit from the flexibility to earn your Cybersecurity and Data Analytics master’s from anywhere through Webster University Online or on our main campus in St. Louis. Either way, you’ll experience the same quality instruction from our expert instructors.

Become an in-demand asset to employers

By combining master’s level skills in both data analytics and cybersecurity, you’ll be qualified for a number of forward-focused careers.

Information Security Analyst


Median Annual Pay
(National, May 2022)

Computer and Information Research Scientist


Median Annual Pay
(National, May 2022)

Computer Systems Analyst


Median Annual Pay
(National, May 2022)

Source: Bureau of Labor Statistics

Let’s Discuss Your Goals

Achieve your personal and professional goals

We’re here to help

Webster is committed to your success, and you'll never be alone as you pursue your master’s degree.

An education nationally recognized for quality

Earn your Cybersecurity and Data Analytics master’s from Webster, an independent, nonprofit university accredited by the Higher Learning Commission (HLC).

Professors. Professionals. Mentors

Gain real-world knowledge from faculty experts with extensive cybersecurity experience. Our professors serve as mentors eager to support your career goals and connect you to opportunities, including internships and jobs.

Cybersecurity program spotlight

Watch this video about our Cybersecurity master’s programs.

Play video