Discipline: Operations Management
Admission Year:Fall 2014
Test Used for Admittance: GRE and TOEFL
Test Scores: Quant 170 (98%) Verbal 153 (58%) AW 4.5 (78) , TOEFL 117
Undergrad GPA: 8.86/10 ( Top 15 percent)
Graduate GPA: ---
LORs: 3 Strong Academic References (all profs from my institution)
Industry Experience: 2 Month Internship in Data Analytics at American Express
Research Experience: Nil
Teaching Experience: TA for undergraduate course in Mechanical Engineering
Range of Schools Applied: 4 in Top 10, 3 in Top 20
Total Schools Applied To: 7
Total Offers Given: Interviewed by 3 and Accepted in all these 3 (1 from Top 10 and 2 from Top 20). Rejected by 4.
Final Remarks: Things I would have done differently - 1. Applied to more good schools. I had no idea about a lot of good schools until later. 2. Should have maintained my Undergrad GPA above 9.5. 3. Should have started earlier... believe it or not.. I began applying, researching about schools, etc. only in September... I decided on a PhD only then...
that's it... It was actually a smooth ride for me this season, as my expectations were very low. I expected to get admission only from one university (the least ranked in my list).. but instead I got calls from three (including rank 4 in my list)...
I have no clue about research, really.. I don't have any idea what are the areas of research available..All I know is that I am good at mathematical modelling.. and data analysis... and I was always honest about all these in my interviews, and the profs liked that. I guess they were looking for smart, motivated people. So be honest.. it also helps them in gauging the fit between the university and you. This approach eliminated the "research fit" criteria.. as I was open-minded, and could fit into any area.