Hi all, I'm currently working, but have decided to apply for a PhD program this Fall in statistics. I'm quite anxious about the chance of being admitted, since I have virtually no research experience. Below are my background.
Undergrad: UIUC
Major: Actuarial Science
GPA: 3.98/4.0
Master: Columbia
Major: Statistics
GPA: 3.67/4.0
GRE: 330
Research: Some grad-level course projects, a small undergrad-level educational research, currently doing an econometric research to improve my weak research experience.
Work experience: Currently working as an actuary in a top leading insurance company.
Recommendation letters: One from actuarial math professor in UIUC, one from statistics professor in Columbia, another is from the econometric research advisor(instructor tile, but a Harvard and UChicago alumni)
Course taken: Most math and stat courses and machine learning courses that should be prerequisite for applying for a stat PhD, but haven't taken real analysis yet.
Others: Nearly passed all associate level actuarial exams
Pros: Relatively good math skills, have a master's degree, (some work experience?)
Cons: No concrete research experience, no publication, no hardcore math courses such as real analysis, low graduate school GPA
Schools I plan to apply are as follows, 15 in total, I'm not sure whether I'll be rejected by all of them due to lack of concrete research experience.
Statistics PhD: UCLA, UMichigan, UCSB, UCD, PennState, 7 undecided (Probably from USnews top 50~150 list)
Also, is it common for being considered and admitted for MS instead(when the committee believe a student need take more prerequisites) when applying for PhD? Any advice will be precious for me. Thanks a lot!
Question
anonyyy
Hi all, I'm currently working, but have decided to apply for a PhD program this Fall in statistics. I'm quite anxious about the chance of being admitted, since I have virtually no research experience. Below are my background.
Undergrad: UIUC
Major: Actuarial Science
GPA: 3.98/4.0
Master: Columbia
Major: Statistics
GPA: 3.67/4.0
GRE: 330
Research: Some grad-level course projects, a small undergrad-level educational research, currently doing an econometric research to improve my weak research experience.
Work experience: Currently working as an actuary in a top leading insurance company.
Recommendation letters: One from actuarial math professor in UIUC, one from statistics professor in Columbia, another is from the econometric research advisor(instructor tile, but a Harvard and UChicago alumni)
Course taken: Most math and stat courses and machine learning courses that should be prerequisite for applying for a stat PhD, but haven't taken real analysis yet.
Others: Nearly passed all associate level actuarial exams
Pros: Relatively good math skills, have a master's degree, (some work experience?)
Cons: No concrete research experience, no publication, no hardcore math courses such as real analysis, low graduate school GPA
Schools I plan to apply are as follows, 15 in total, I'm not sure whether I'll be rejected by all of them due to lack of concrete research experience.
Actuarial Science PhD: Waterloo, Wisconsin-Madison, UIUC
Statistics PhD: UCLA, UMichigan, UCSB, UCD, PennState, 7 undecided (Probably from USnews top 50~150 list)
Also, is it common for being considered and admitted for MS instead(when the committee believe a student need take more prerequisites) when applying for PhD? Any advice will be precious for me. Thanks a lot!
Edited by anonyyy1 answer to this question
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