Enterprise Cybersecurity

Using data science as a game-changer

Impact

Managers will learn how to improve their organizations' preparedness and response against cyberattacks and grow their careers as leaders in robust cybersecurity strategies.
Gain an overall understanding of how data science and cybersecurity work together to create quality data inputs that result in effective key performance indicators (KPIs).
Learn how using data science methods enhances the resilience of cybersecurity at the enterprise level.
Learn to collaborate with cybersecurity and data science professionals to create new control capabilities to achieve cybersecurity resilience.
Learn how to hire and develop talent for these practices at the enterprise level.

Who Is This Program For?

This course was designed to provide cybersecurity and data science professionals with a strategic understanding of how data science can be used to manage cyber risk, positioning them for career progression as cybersecurity specialists.

Mid-career cybersecurity and data science professionals looking to advance their work/career by staying on top of the latest cybersecurity tools and techniques.
Mid-level professionals in information technology and information security looking to understand offensive cybersecurity as a way to move up in a high-growth field with high-demand job opportunities.
Cybersecurity consultants who want to improve their organizations' preparedness and response against cyberattacks and grow their careers as leaders in offensive cybersecurity strategies.

Program Highlights

Analyze how data scientists and cybersecurity professionals can collaborate

Develop innovative practices to attract, retrain, and retain talented cybersecurity personnel

Apply machine learning algorithms to identify threats in real time leveraging machine learning to identify patterns

Evaluate use cases to measure deviation patterns in real-time to identify threat actors

Program Syllabus

In this program, you will examine the unique role of machine learning and data science in creating effective cybersecurity environments. You will also learn how these disciplines combine to increase an organization's cybersecurity resiliency and explore the changing landscape of cybersecurity as advanced authentication choices become more prevalent.

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Module 1: Foundational Data Science and Machine Learning Concepts

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Module 2: How Does Data Science Influence Cybersecurity Practices?

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Module 3: Examples of Enterprise Cybersecurity

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Module 4: Real-Time Authentication Cases

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Module 5: Resources, Tools, Reporting, and Dashboarding

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Module 6: Developing Talent for the Digital Enterprise

Program Faculty

JIM ROUTH

Board Member, Advisor, and Investor NYU Tandon School of Engineering

Jim Routh is an icon in the cybersecurity industry, recognized as a leader in using data science as a foundation for unconventional cybersecurity controls and enterprise resil...

LP - NYUT-DSCY - Program Faculty - Image2

DANIEL CARROLL

Principal Data Scientist Aetna

Daniel Carroll leads a research and development team at Aetna, working on machine learning problems in healthcare. He heads machine learning development efforts inside the com...

Certificate

Upon successful completion of the program, participants will be awarded a verified digital certificate from NYU Tandon.

FAQs

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The Program

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The Learning Experience

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Certification

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Technical Requirements

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Payment Process

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Refund Policy

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 680 205 8507 (US) / +44 145 370 2595 (UK) / +65 3163 6129 (SG)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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