sheoftherain

Got accepted at the LSE for PhD Economic Geography yesterday, yet to hear about funding.

@mes great! sending happy thoughts your way. I am just waiting to hear back from the department about an official decision as well.

Hey @mes How was your interview at LSE? Have you heard back from them yet?

Thanks, I will check these out!

Hey everyone! I found gradcafe a little too late, unfortunately. This also a repost from the Government Affairs forum, since I misjudged what was going on there. I am applying for PhDs in Public Policy (first choice) and Economics (Second choice), in schools with strong urban research going on. I have been feeling pretty okay about my chances and would love to hear your perspective on my chances. I have given myself three years to try and get into a PhD, and it is my first attempt this year. I wasn't as put together as I wanted to be, so I am also open to school suggestions (especially for safer options, I look at my list and see too much ambition, given my mixed background when it comes to quant) Considering applying (applied) to: Applied to PhD at USC Econ, USC Price, MIT-DUSP, HKS-PEG, UCI-Econ, LSE-Economic Geography, UChicago Harris. Undergrad Institution: University of Delhi, top college, first class degree. (2013-2016) Undergrad Major: Economics with a minor in Political Science GPA: 80.5/100 Postgraduate Institution : Top interdisciplinary/ social sciences institution in India (2017-2019) Post-graduation Major: MA in Urban policy (very qualitative + so I picked up a lot of data management, statistical skills working as an RA) GPA: 7.8/10 Also the gold medalist (top scorer in the class) GRE: 161 Q 167 V 4.5 AW Quant Background: Calculus, Linear Algebra, Statistical Methods, Some Econometrics (All from a quant heavy undergraduate course). Have a lot of on-the-job experience handling large datasets, performing intermediate level statistical + spatial analysis - familiar with handling satellite imagery etc. Programming Background: Stata, python Relevant Work Experience: 3 years, as research assistant for policy relevant research. I have 2 papers in the publication pipeline with three tenured professors from two R-1 universities (I have applied to both). Languages: Fluent in English. 117 TOEFL iBT Strength of LOR: Expecting very strong recommendations from two of my ex-professors, I have been working as an RA for one of them since 2018 (started working in the middle of my masters'). Third LOR is from one of the professors I mentioned before - they have worked with me closely, but I would expect a boilerplate/thoroughly professional LOR, nothing personal per se. Strength of SOP: Fair, I have taken some stylistic liberties with it, but have been told that they mark me as a unique student, and I have tried to cover for my lack of quantitative training for the last two years.

Hey everyone! I found gradcafe a little too late, unfortunately. I am applying for PhDs in Public Policy (first choice) and Economics (Second choice), in schools with strong urban research going on. I have been feeling pretty okay about my chances and would love to hear your perspective on my chances. I have given myself three years to try and get into a PhD, and it is my first attempt this year. I wasn't as put together as I wanted to be, so I am also open to school suggestions (especially for safer options, I look at my list and see too much ambition, given my mixed background when it comes to quant) Considering applying (applied) to: Applied to PhD at USC Econ, USC Price, MIT-DUSP, HKS-PEG, UCI-Econ, LSE-Economic Geography, UChicago Harris. Undergrad Institution: University of Delhi, top college, first class degree. (2013-2016) Undergrad Major: Economics with a minor in Political Science Years out of undergrad: 4 GPA: 80.5/100 Postgraduate Institution : Top interdisciplinary/ social sciences institution in India (2017-2019) Postgraduation Major: Urban policy (very qualitative + so I picked up a lot of data management, statistical skills working as an RA) GPA: 7.8/10 Also the gold medalist (top scorer in the class) GRE: 161 Q 167 V 4.5 AW Quant Background: Calculus, Linear Algebra, Statistical Methods, Some Econometrics (All from a quant heavy undergraduate course). Have a lot of on-the-job experience handling large datasets, performing intermediate level statistical + spatial analysis - familiar with handling satellite imagery etc. Programming Background: Stata, python Relevant Work Experience: 3 years, as research assistant for policy relevant research. I have 2 papers in the publication pipeline with three tenured professors from two R-1 universities (I have applied to both). Languages: Fluent in English. 117 TOEFL iBT Strength of LOR: Expecting very strong recommendations from two of my ex-professors, I have been working as an RA for one of them since 2018 (started working in the middle of my masters'). Third LOR is from one of the professors I mentioned before - they have worked with me closely, but I would expect a boilerplate/thoroughly professional LOR, nothing personal per se. Strength of SOP: Fair, I have taken some stylistic liberties with them, but have been told that they mark me as a unique student, and I have tried to cover for my lack of quantitative training for the last two years.