Calling all NYU Stern Part Time [Spring & Fall 2020 Intake] Applicants

Class Profile

• Numbers Enrolled (Fall): 225
• Numbers Enrolled (Spring): 124
• Avg GMAT: 660 (Middle 80%: 610-720)
• Avg GRE: 3.43
• Avg WE: 5.5 (Range: 0-14)
• Avg Age: 28

EQ Endorsements

• You are required to submit two EQ Endorsements with your application.
• One EQ Endorsement must come from your current supervisor. If you cannot include an endorsement from your current supervisor, you must provide an explanation in the online application.
• The second EQ Endorsement may come from someone who knows you professionally and/or personally.
• EQ Endorsements should come from individuals who can objectively assess your potential for success in NYU Stern's MBA program and in your future career, and who can act as a persuasive advocate of your EQ strengths.
• Immediate family members should not write your EQ endorsement.
• Submitting more than two EQ endorsements is not encouraged but is allowed. Please carefully consider whether additional endorsements add significant value and a new and unique perspective to your application.

• Please provide a brief description of your interaction with the applicant and, if applicable, the applicant's role in your organization.
• How does the applicant's performance compare to that of other well-qualified individuals in similar roles (if applicable)? Please provide specific examples. (E.g. what are the applicant's principal strengths?)
• Describe the most important piece of constructive feedback you have given the applicant. Please detail the circumstances and the applicant's response.
• IQ+EQ is a core value of NYU Stern, and we seek exceptional individuals who possess both intellectual and interpersonal strengths. Emotional intelligence (EQ) skills such as self-awareness, empathy, communication and self-management are at the core of our community of leaders. Please provide one specific and compelling example to demonstrate the applicant's emotional intelligence.
• (Optional) Is there anything else we should know?