NYU Cyber Fellows | NYU Tandon School of Engineering

NYU Cyber Fellows

Online

Cyber Fellowship

A new generation of cyber experts trains to tackle the next generation of cyber threats

NYU Tandon School of Engineering’s pioneering Cyber Fellows program opens the semester with a mission: Help fill the yawning talent gap

Request Information  Attend Webinar

 

NYU Cyber Fellows Overview

 

Questions?

We are here to help! Call us at 646.997.3623, U.S. Toll-Free at 877.503.7659, or email us at tandon.online@nyu.edu.

How to Apply

Online Application

Tuition and Fees

NYU Tandon School of Engineering is pleased to announce the NYU Cyber Fellows, which provides a 75% scholarship towards tuition for our elite online Cybersecurity Master’s Degree. Thanks to generous support, this first of its kind program will be offered for the affordable price of approximately $16,000 and will include access to a hands-on virtual lab, industry collaborations, industry-reviewed curriculum, exclusive speaker events, and peer mentors.

Students who wish to enroll in this exclusive master’s degree will participate in a part-time program of 10 courses from a recommended curriculum to be completed in 2-3 years. After graduation, students will have access to updated course materials for 5 years.

The next Cyber Fellows Cohort is scheduled to begin soon. Apply now!

View the Cyber Fellows flyer.

 

75% Scholarships

Savings Icon

$38,700+
in savings

Average
Salaries

Average Salaries Icon

Starting at
$120K

Student
Experience

Benefits Icon

Same program
as on-campus, with more
benefits

Who Qualifies?

Students who wish to enroll in the exclusive Cyber Fellows scholarship program must be U.S. Residents.

Why Join the NYU Cyber Fellows?

  • Highly technical learning environment geared towards preparing Fellows for today and tomorrow’s workforce in NYC and beyond
  • Heavily discounted (75% off tuition) part-time online master's program to be completed in 2-3 years. View the suggested Cyber Fellows curriculum below.
  • Access to our corporate partners, such as our new Partner Badges program and speaker series
  • Open to US residents beginning Fall 2018 semester
  • National, global and local NYC partners from industries such as finance, government, media, and technology

 

 

Curriculum

Students are required to enroll every Fall and Spring semester. The program will always offer classes in the summer, however, registering for the summer semester is optional. It is expected that NYU Cyber Fellows students will complete their degrees in 2-4 years.

We suggest taking one course each semester. If a student is interested in taking more than one course per semester, an academic adviser can help them understand the workload involved before making the decision to take either one or two courses.

3 Credits Information, Security and Privacy CS-GY6813
This course introduces Information Systems Security and covers cryptography, capability and access control mechanisms, authentication models, security models, operating systems security, malicious code, security-policy formation and enforcement, vulnerability analysis, evaluating secure systems.
Prerequisite: Competency in Application Development in UNIX and Windows Environments, Graduate status. *Online version available.

» Sample Syllabus

3 Credits Network Security CS-GY6823
This course begins by covering attacks and threats in computer networks, including network mapping, port scanning, sniffing, DoS, DDoS, reflection attacks, attacks on DNS and leveraging P2P deployments for attacks. The course continues with cryptography topics most relevant to secure networking protocols. Topics covered are block ciphers, stream ciphers, public key cryptography, RSA, Diffie Hellman, certification authorities, digital signatures and message integrity. After surveying basic cryptographic techniques, the course examines several secure networking protocols, including PGP, SSL, IPsec and wireless security protocols. The course examines operational security, including firewalls and intrusion-detection systems. Students read recent research papers on network security and participate in an important lab component that includes packet sniffing, network mapping, firewalls, SSL and IPsec.
Prerequisite: Graduate standing and EL-GY 5363:* Online version available.

» Sample Syllabus

3 Credits Application Security CS-GY9163
This course addresses the design and implementation of secure applications. Concentration is on writing software programs that make it difficult for intruders to exploit security holes. The course emphasizes writing secure distributed programs in Java. The security ramifications of class, field and method visibility are emphasized.
Prerequisite: Gradute standing

» Sample Syllabus

3 Credits Applied Cryptography CS-GY6903
This course examines Modern Cryptography from a both theoretical and applied perspective, with emphasis on “provable security” and “application case studies”. The course looks particularly at cryptographic primitives that are building blocks of various cryptographic applications. The course studies notions of security for a given cryptographic primitive, its various constructions and respective security analysis based on the security notion. The cryptographic primitives covered include pseudorandom functions, symmetric encryption (block ciphers), hash functions and random oracles, message authentication codes, asymmetric encryption, digital signatures and authenticated key exchange. The course covers how to build provably secure cryptographic protocols (e.g., secure message transmission, identification schemes, secure function evaluation, etc.), and various number-theoretic assumptions upon which cryptography is based. Also covered: implementation issues (e.g., key lengths, key management, standards, etc.) and, as application case studies, a number of real-life scenarios currently using solutions from modern cryptography.
Prerequisite: Graduate standing.


Students with an undergraduate or graduate degree in computer science.

To complete the 30-credit degree requirement, students with an undergraduate or graduate degree in computer science will choose 6 courses from List A below.

Students without an undergraduate or graduate degree in computer science.

To complete the 30-credit degree requirement, students who do not have an undergraduate or graduate degree in computer science will be advised to take up to 4 courses from List B to fulfill pre-requisite knowledge that will better ensure their success in the required security core courses. Students will then fulfill their remaining credits from List A.

 

List A: Elective Courses

3 Credits Machine Learning CS-GY6923
This course is an introduction to the field of machine learning, covering fundamental techniques for classification, regression, dimensionality reduction, clustering, and model selection. A broad range of algorithms will be covered, such as linear and logistic regression, neural networks, deep learning, support vector machines, tree-based methods, expectation maximization, and principal components analysis. The course will include hands-on exercises with real data from different application areas (e.g. text, audio, images). Students will learn to train and validate machine learning models and analyze their performance.
Prerequisite: Graduate status with undergraduate level probability theory
3 Credits Digital Forensics CS-GY6963
This course introduces information-technology professionals to the application of forensic science principles and practices for collecting, preserving, examining, analyzing and presenting digital evidence. The course includes selected topics from the legal, forensic and information-technology domains and uses lecture, laboratory and written projects to illustrate these topics.
Prerequisite: Graduate standing. *Online version available.

3 Credits Selected Topics in CS CS-GY9223
Offensive Security (aligns with NSA cyber operations)

» Sample Syllabus

3 Credits Selected Topics in CS CS-GY9223
Mobile Security

3 Credits Selected Topics in CS CS-GY9223
Cloud Security

3 Credits Information Systems Security Engineering and Management CS-GY6803
This course presents a system and management view of information security: what it is, what drives the requirements for information security, how to integrate it into the systems-design process and life-cycle security management of information systems. A second goal is to cover basic federal policies on government information security and methodologies. Topics include information-security risk management, security policies, security in the systems-engineering process, laws related to information security and management of operational systems.
Prerequisite: Graduate standing and CS-UY 392 or equivalent: *Online version available.

» Sample Syllabus

3 Credits Penetration Testing and Vulnerability Analysis CS-GY6573
This advanced course in computer and network security focuses on penetration testing and vulnerability analysis. It introduces methodologies, techniques and tools to analyze and identify vulnerabilities in stand-alone and networked applications.
Prerequisites: Graduate standing and CS-GY 6823

» Sample Syllabus

 

List B: Pre-requisite Courses

3 Credits Foundations of Computer Science CS-GY6003
This course covers logic, sets, functions, relations, asymptotic notation, proof techniques, induction, combinatorics, discrete probability, recurrences, graphs, trees, mathematical models of computation and undecidability.
Corequisite: Graduate Standing.

3 Credits Computer Networking CS-GY6843
This course takes a top-down approach to computer networking. After an overview of computer networks and the Internet, the course covers the application layer, transport layer, network layer and link layers. Topics at the application layer include client-server architectures, P2P architectures, DNS and HTTP and Web applications. Topics at the transport layer include multiplexing, connectionless transport and UDP, principles or reliable data transfer, connection-oriented transport and TCP and TCP congestion control. Topics at the network layer include forwarding, router architecture, the IP protocol and routing protocols including OSPF and BGP. Topics at the link layer include multiple-access protocols, ALOHA, CSMA/CD, Ethernet, CSMA/CA, wireless 802.11 networks and linklayer switches. The course includes simple quantitative delay and throughput modeling, socket programming and network application development and Ethereal labs.
Prerequisite: Graduate standing and CS-UY 2134.

» Sample Syllabus

3 Credits Introduction to Operating Systems CS-GY6233
This course introduces basic issues in operating systems. Topics: Threads, processes, concurrency, memory management, I/O Control and case studies.
Prerequisite: Graduate standing.

» Sample Syllabus

3 Credits Design and Analysis of Algorithms I CS-GY6033
This course reviews basic data structures and mathematical tools. Topics: Data structures, priority queues, binary search trees, balanced search trees. Btrees. Algorithm design and analysis techniques illustrated in searching and sorting: heapsort, quicksort, sorting in linear time, medians and order statistics. Design and analysis techniques: dynamic programming, greedy algorithms. Graph algorithms: elementary graph algorithms (breadth first search, depth first search, topological sort, connected components, strongly connected components), minimum spanning tree, shortest path. String algorithms. Geometric algorithms. Linear programming. Brief introduction to NP completeness.
Prerequisites: Graduate Standing, CS-GY 5403 and CS-GY 6003.

» Sample Syllabus

Note about Transfer Credits
Individuals who are interested in transferring credit or have specific curriculum requests will be advised on a case-by-case basis.


Admission Information

Before you to start your application please make sure you qualify by reviewing the admission requirements below. Once you have started the application you should submit your application to the online cybersecurity master’s degree. Please also make sure that you include a copy of one of the following in your application or email a copy to tandon.online@nyu.edu to show your eligibility for this scholarship:

  • U.S. Passport
  • U.S. birth certificate along with a government-issued photo identification document
  • Green card
  • Copy of Visa (certain visas are considered, inquire for details)
  • If employed, a letter from your Human Resources Department listing out your tuition reimbursement plans.

You need a superior undergraduate record from an accredited institution in order to be considered for entrance into the program. Preferably, you should have an undergraduate degree in computer science, mathematics, science, or engineering. However, applicants with degrees in other fields are considered individually for admission.

You must also satisfy the following criteria. Click on the applicable link below to jump to the section requirements that pertain to your situation:

With an undergraduate degree in computer science, mathematics, science, engineering or similar 
You must satisfy the following:

 

  • Knowledge of mathematics through calculus
  • At least 1 year of university-level science
  • A working knowledge of a high-level, general-purpose programming language (preferably C++) and of data structures
  • Demonstrated ability to communicate in written and spoken English. Foreign students and others for whom English is a second language may be required to undertake preparatory work to improve their language skills before admission into the graduate program.
  • Statement of Purpose: You should submit a special purpose statement with your application that states your experience in cybersecurity and your motivation for applying to the program.
  • A basic understanding of computer fundamentals such as computer organization and operation, data structures, and computer architecture.
  • GRE scores (See below for waiver details)
All other degrees 
If you come from a non-engineering background you can prepare to apply for the Cybersecurity Master’s Degree in one of two ways, by either taking the one-course Bridge Program or three individual preparatory courses as mentioned in the Preparatory Courses section.

Admission with advanced standing is accepted in accordance with the School of Engineering regulations published in the bulletin. A maximum of 9 credits may be applied to the MS degree from previous graduate work at an acceptable institution.


Applicants who satisfy one of the following conditions are not required but encouraged to submit a GRE score:

  1. Applicant has successfully completed the Bridge to Tandon program with a B+ or better.
  2. Applicant completes 9 credits under Visiting Student Registration from an approved list of CSE courses and maintains an average grade of B+ or better.
  3. Applicant has a BA or BS degree in computer science or computer engineering from NYU, with a GPA of 3.0 or higher.

The following option for a GRE waiver is only available to NYU Cyber Fellows and otherwise qualified applicants:

A qualifying applicant can be granted a conditional admit, in which a grade of B or better must be obtained in the first two courses. Students who do not satisfy the conditions of their admission will be academically disqualified.


If you come from a non-engineering background you can prepare to apply for the Cybersecurity Master’s Degree in one of the following two ways:

Option One: Bridge to NYU Tandon

The Bridge to NYU Tandon Program is a prerequisite course recommended to those interested in applying for the Cybersecurity Master's Degree who are lacking a background in science or engineering.

If you have a degree in liberal arts or similar, our one-course online program will provide you the tools needed to upgrade your math, science or engineering knowledge for consideration to a qualifying master’s degree at the School of Engineering. Should you complete this intensive bridge course with a grade of B+ or better,  you are eligible to be admitted without any course deficiencies, should you meet all other School of Engineering admission requirements.

 

A Bridge to NYU Tandon

 

Option Two: Take Three Individual Courses

 

We also offer three individual preparatory courses for students who do not have a working knowledge of a high level, general-purpose programming language or a background in sets, functions, relations, asymptotic notation, proof techniques, induction, combinatorics, discrete probability, recurrences, graphs, trees, mathematical models of computation and undecidability.

3 Credits Introduction to Programming and Problem Solving CS-GY5303
This course introduces discrete mathematics, computers and programming; Running C/C++ programs under Unix; algorithmic language; pseudo code; problem solving and program structure. Topics include constants, variable, data types, assignments, arithmetic expressions, input and output; object-oriented and top-down design and procedures, selection and loops; functions; enumerated; arrays, structs and searching and sorting.
Prerequisite: Graduate status: *Online version available.
3 Credits Data Structures and Algorithms CS-GY5403
This course introduces data structures. Topics include program specifications and design; abstract data types; stacks, queues; dynamic storage allocation; sequential and linked implementation of stacks and queues; searching methods, sequential and binary; binary trees and general trees; hashing; computational complexity; sorting algorithms: selection sort, heap sort, mergesort and quicksort; comparison of sorting techniques and analysis.
Prerequisite: Graduate Standing, CS-GY 5303 *Online version available.
3 Credits Foundations of Computer Science CS-GY6003
This course covers logic, sets, functions, relations, asymptotic notation, proof techniques, induction, combinatorics, discrete probability, recurrences, graphs, trees, mathematical models of computation and undecidability.
Corequisite: Graduate Standing.


Applications for transfer credits must be submitted for consideration before the end of the first semester of matriculation. Courses with grades below B are not eligible for transfer. Transfer credits for courses taken after matriculation at the NYU Tandon School of Engineering are rarely accepted and must be approved by the student’s academic department and by the Office of Graduate Academics before the course is taken. Grades for transferred credits or courses are not recorded and are not included in GPA calculations.