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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
This online programme delves into the dynamic intersection of data science and cybersecurity. This six-week Enterprise Cybersecurity online course empowers cybersecurity and data science professionals with cutting-edge strategies to fortify enterprise-level security. The Enterprise Cybersecurity certification by Emeritus explores the vital role of data science in boosting cybersecurity resilience, equipping participants with the insights to identify, analyse, and combat emerging threats.
Participants of the Enterprise Cybersecurity certification course gain a profound understanding of data science's impact on risk management, unleashing its potential to create quality data inputs and effective key performance indicators. Led by seasoned industry experts, the programme covers an array of essential topics, including machine learning algorithms for real-time threat detection, continuous behavioural authentication, and the development of innovative practices to attract and retain skilled cybersecurity personnel.
The Highlights
- Approx. 6 Weeks To Complete
- Certification By NYU
- Develop Innovative Practices
- Evaluate Use Cases
Programme Offerings
- Certification
- Discussion Forum Live Lecture
- Expert Faculty
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Tandon School of Engineering, New York |
The full Enterprise Cybersecurity certification fees amount to US $ 2,200.
Enterprise Cybersecurity fee structure
Course Name | Fee |
Enterprise Cybersecurity | US $ 2,200 |
Eligibility Criteria
Certification Qualifying Details
Completion of Enterprise Cybersecurity training is enough for certification from NYU Tandon.
What you will learn
During Enterprise Cybersecurity classes, participants will be able to:
- Grasp how data science methods can be applied to cybersecurity, enabling the identification and analysis of patterns for deviations and potential threats within an organisation's security framework.
- Explore the concept of continuous behavioural authentication, as traditional password-based authentication becomes less effective, enabling them to leverage advanced authentication choices in their cybersecurity strategies.
- Learn how data science enhances the quality of data inputs, facilitating the creation of effective KPIs to measure the health of an organisation's cybersecurity programme, processes, or controls.
Who it is for
The Enterprise Cybersecurity certification syllabus is designed for professionals from various career options and professions related to cybersecurity and data science. Some of the career options or professions that can benefit from this course are:
Admission Details
Follow the steps below to join the online course.
Step 1- Click on the link below: https://em.online.engineering.nyu.edu/enterprise-cybersecurity/?thank_you=true
Step 2- Click on the “Apply Now” button.
Step 3- Fill in the basic details and then submit the form.
Step 4- A representative will contact you to begin the process of enrolment.
The Syllabus
- Analyze the role of Enterprise Cybersecurity
- Discuss the law of large numbers in terms of cybersecurity applications
- Learn how data science is applied to cybersecurity within an organization
- Discuss machine learning systems that learn and adapt without explicit instructions
- Evaluate the seven steps to machine learning success
- Compare and contrast deep learning and traditional machine learning
- Analyze how the use of data science is a game-changer for IAM
- Compare and contrast the conventional PAM approach with a data science-driven approach
- Evaluate conventional third-party governance terms and conditions with data science methods that operate with risk scores in real time
- Discuss the changing landscape of cybersecurity and the growing obsolescence of passwords
- Compare and contrast the spectrum of advanced authentication choices
- Evaluate three primary benefits of continuous behavioral authentication
- Explain the importance of identifying quality data inputs to create KPIs
- Evaluate how KPIs measure the health of a program, process, or control
- Analyze key risk indicators in terms of inherent or residual risks
- Learn how to choose your enterprise platform(s): purchase vs. build
- Explain the importance of adjusting conventional hiring practices in market conditions that require a change
- Evaluate innovative talent development practices
- Analyze the characteristics of leadership commitment in terms of talent scarcity and a changing market
- Appraise the evolution of model-driven security
Instructors
Tandon School of Engineering, New York Frequently Asked Questions (FAQ's)
The course duration is six weeks, conducted online, with an average commitment of 4-6 hours per week.
The course is not self-paced. It follows a structured format with specific cohort start dates for participants to join together and progress through the material.
The course is led by experienced industry experts, including Daniel Carroll, Jim Routh, John R. Craddock, Donna Gallaher, and Professor Michael Leiter, of the NYU Tandon School of Engineering.
There are no specific prerequisites for the course. It is designed for professionals in cybersecurity and data science fields, and individuals with relevant industry experience will find the programme beneficial.
Yes, participants who successfully complete the programme will receive a verified digital certificate from NYU Tandon School of Engineering.
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