Computer Science M.Eng. (Cornell NYC Tech)

Field of Study

Computer Science

Program Description

Note: The concentrations noted below are only applicable for students enrolled in the Ithaca-based Computer Science, M.Eng. program. 

Education, within the context of industry, market and user needs.  These courses teach you to think like an entrepreneur, work on cross-disciplinary teams, and create a portfolio of work relevant to the digital age. Our students have access to Cornell Tech's robust network of people and resources, in the thriving nexus of tech and innovation within New York City.

Our students are trained and prepared to go into industry for software engineering/development and management, product management /development, technical program or product management, big data engineering, customer insight/analytics and user experience strategies, operations management or entrepreneurship.

Contact Information


Cornell Tech 
2 West Loop Road
New York, NY 10044

Concentrations by Subject

  • artificial intelligence
  • computer science
  • programming languages and logics
  • scientific computing and applications
  • systems
  • theory of computation


2020-2021: $58,586

Application Requirements and Deadlines

Application Deadlines:

For Cornell Tech Master of Engineering Application Deadlines please visit:


Requirements Summary:

Ideal candidates have an academic background in computer science or a related technical field, strong entrepreneurial interests, and passion to lead in the tech industry.  If you do not have a technical academic background, you will need to have taken courses in programming, discrete structures, architecture and operating systems.

For information on the M.Eng. program in New York City, please visit:

  • all Graduate School Requirements
  • including the TOEFL or IELTS Exam for Non-Native English Applicants
  • GRE general test
  • Personal Statement
  • Two letters of recommendations


For general questions regarding the admissions process, please send an email to


To apply, visit

Learning Outcomes

  • Mastery and Application of Core Disciplinary Knowledge
  • Problem Formulation, Organization, and Planning of the Solution Process
  • Collaborative Problem Solving and Issue Resolution
  • Communication of Knowledge, Ideas and Decision Justification
  • Self-directed Learning and Professional Development