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MS in Data Science – Cybersecurity Specialization

Use Your Skills to Keep Computer Systems Safe

Industry-Experienced Faculty

Advance in a Rapidly Growing Field

Curriculum Focused on Cyber Intelligence

Learn More Today

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  • Duration 2 years
  • Cost per Credit $830
  • Credit Hours 30

Program Benefits

  • No GRE or GMAT required
  • Experienced faculty
  • 100% online coursework
  • Classes cover cybersecurity and computer forensic practices

28% Job Growth by 20261

Through the online Cybersecurity specialization of Utica College’s Master of Science in Data Science, you will become familiar with state-of-the-art cybersecurity and computer forensic practices and learn how to apply your knowledge of data science to them.

As a student in this specialization, you will work alongside a faculty of data science practitioners with decades of experience and benefit from a 100% online program that fits your personal and professional life.

By the time you graduate, you will be a valuable asset to companies and organizations with a need to safeguard their systems.

Career Outlook

The Cybersecurity specialization is intended for students who want to conduct data science in the applied field of data security. It prepares you for a variety of careers in this booming field.

CAREER SPOTLIGHT: INFORMATION SECURITY ANALYST

As an information security analyst, you would be responsible for finding security threats and other vulnerabilities — as well as implementing security principles while following strict privacy policies. Information security analysts have an average annual income of $71,077.1

CAREER SPOTLIGHT: CYBERSECURITY DATA SCIENTIST

As a data scientist specializing in cybersecurity, you would use data and machine learning to help identify threats and attacks more quickly and effectively. The specialized data scientist can expect to earn an average annual income of $95,932.2

Other titles you may qualify for:

  • Cyber Data Analyst
  • Cybersecurity Officer
  • Data Analyst
  • Malware Analyst
  • Security Consultant
Jobs and Income

Curriculum

The Cybersecurity specialization features four courses that total 12 credit hours. Learn about the history and evolution of cyber intelligence, as well as the impact of cybersecurity on institutions, privacy, business, and government applications.

Course Spotlight: CYB 605 – Principles of Cybersecurity

Study the impact of cybersecurity and examine the dimensions of networks, protocols, operating systems, and associated applications.

Explore Courses

Course Spotlight: CYB 610 – Cyber Intelligence

Enhance your understanding of topics such as passive and active measures, principles and processes, ethics and the evaluation of successes and failures.

More Options for Your Degree

M.S. in Data Science: Business Analytics

Build business theory and practice into your data analytics expertise. You’ll complete this specialization ready to manage risk, predict market and workforce developments, and understand demographic trends and census data.

M.S. in Data Science: Social Science Analytics

Enhance your understanding of complex organizations and bureaucracy, social trends, voting data, and research design. You’ll complete this specialization with a macroscopic perspective on community dynamics.

M.S. in Data Science: Financial Crime

Enhance your ability to manage the corporate and advanced technological resources that combat economic crime. You’ll complete this specialization ready for positions in the compliance and fraud investigation fields.

Frequently Asked Questions

Advancing your life and career with an online master’s in data science degree comes with lots of questions, and we want to ensure your search for answers is effortless. If you have a question we haven’t covered, call (866) 295-3106 to speak with an enrollment counselor.

The online program is designed for professionals who work full-time and is offered part-time, which allows you to achieve a realistic balance between work, school, and personal responsibilities and gives you the opportunity to fully absorb the information in your coursework. To see the curriculum, view our courses page.

The first step toward applying to the M.S. in Data Science is to start your online application. Then, you’ll need to gather official transcripts, a personal statement, two letters of recommendation, and a résumé. Read more about admission to the M.S. in Data Science.

In addition to starting your online application, you’ll need to gather official transcripts, a personal statement, two letters of recommendation, and a résumé. Read more about admission to the M.S. in Data Science.

Yes, the M.S. in Data Science offers specializations in Social Science Analytics, Cybersecurity, Business Analytics, or Financial Crime. You can also design your own specialization and put the data to work in the field of your choice. You can review courses now.

To complete the M.S. in Data Science, you can choose a specialization in Social Science, Cybersecurity, Business Analytics, or Financial Crime. You can also choose to create your own specialization with courses tailored to your ideal career path. You can review courses now.

There are many applications for an M.S. in Data Science across the business, nonprofit, and governmental sectors. You can pursue a career as an operations research analyst, cybersecurity analyst, market research analyst, public health analyst, computer and information research scientist, chief data officer, and more. Explore potential career paths here.

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Sources

  1. Payscale (n.d.). Average Information Security Analyst. Retrieved on June 18, 2019, from https://www.payscale.com/research/US/Job=Information_Security_Analyst/Salary
  2. Payscale (n.d.). Average Data Scientist Salary. Retrieved on June 18, 2019, from https://www.payscale.com/research/US/Job=Data_Scientist/Salary