Requirements for Masters of Science in Computing, Entrepreneurship and Innovation

The MS-CEI degree requires 13 courses (33 credits) including 4 courses taken at The Stern School of Business and 9 courses taken in Computer Science at the Courant Institute of Mathematical Sciences. The degree will be completed in one year and students must enroll full time.

In addition, students must maintain good standing throughout their studies. This involves sustaining a grade-point average of at least 3.0 (B) each semester, and successfully completing at least two thirds of all courses attempted. Students falling below the GPA and course completion requirements are placed on probation, and given until the following fall or spring semester to return to good standing, or faced with possible academic dismissal from the program.

The MS-CEI degree has a unique course structure that will require students to take courses in these areas:

  • An introductory course on Design and Innovation
  • 4 business classes on core aspects of entrepreneurship
  • 2 courses on systems engineering
  • 2 application electives in computer science
  • 1 elective on mathematical techniques and statistics
  • 2 core courses on Lean Launchpad and Entrepreneurship Capstone
  • 1 course on Agile development and DevOps

Many of the design and entrepreneurship classes are core classes and the courses have a well-defined structure. Through the entrepreneurship courses, MS-CEI students will:

  • Learn core design and innovation principles of highly successful startups
  • Gain a comprehensive understanding of technology opportunity identification and implementation
  • Learn the customer-focused approach to product development
  • Provide students with entrepreneurial business skills for venture creation
  • Learn Agile Development and Operations practices
  • Integrate the key principles of entrepreneurship and technology development

Through the one year program cycle, the design and entrepreneurship courses are structured that students will have the experience of developing their own startup idea across the entire cycle including: idea incubation, Minimum Viable Product (MVP) design, customer discovery, MVP development, Lean Launchpad, MVP refinement, pitching the startup idea, venture financing and company formation.

The computer science courses are designed specifically to teach the essential CS fundamentals essential to make the students technically very strong in mathematical and statistical techniques and computer systems development. Students can choose two application electives among advanced CS classes that best suit their technology interests.

The course plan is structured in a defined order as follows:

Summer Session I (4.5 credits)

  • CSCI-GA 2810 Design and Innovation (3 credits)
  • MGMT-GB 3335 Introduction to Startups & Entrepreneurship (1.5 credits)

Summer Session II (4.5 credits)

  • COR1-GB 1102 Leadership in Organizations (1.5 credits)
  • COR1-GB 2103 Strategy (1.5 credits)
  • Stern elective (1.5 credits)

Fall semester (12 credits)

  • CSCI-GA 2630 Foundations of Networks and Mobile Systems (3 credits)
  • CSCI-GA 2820 DevOps and Agile Engineering (3 credits)
  • CSCI-GA 2830 Lean LaunchPad (3 credits)
  • Elective in Mathematical Techniques and Statistics (3 credits)

Spring semester (12 credits)

  • Elective in Systems Engineering (3 credits)
  • Two Electives in Applications (6 credits)
  • CSCI-GA 2840 Entrepreneurship Capstone (3 credits)

The following Stern Business courses can be chosen as electives (1.5 points)

  • MCOM-GB 2105 Business Communication

The following courses can be chosen for the Mathematical Techniques and Statistics Elective (3 points)

The following courses can be chosen for the Systems Engineering Elective (3 points)

The following courses can be chosen for the Applications Electives (6 points)

  • * Requires department permission