I am in a bit of dilemma regarding my career aspirations.
I am a mechanical engineering graduate from one of the top 5 IITs in India.
I have a average CGPA of 8.87/10 (top 20 in my class).
I have taken close to six mathematical courses like: Maths1(grade A), Maths2(grade B), Transform Calculus(Excellent grade), Partial Differential Equations( Excellent grade), Probability and statistics( grade A), Control systems( Excellent grade).
Currently I am working as a quantitative analyst for credit risk team at an investment bank, the job here has drawn me closer to the field of mathematics and statistics and through a lot of self-study, I have decided to pursue a masters course in statistics/applied mathematics and possibly use that masters degree for phd applications later.
I am in my mid-twenties currently. I have self studied the entire statistical Inference book from Casella and Berger to supplement my knowledge/fill in the gaps.
However the problem lies in the application part for the masters program as they require an undergraduate degree from mathematics and letters of recommendation, while I can arrange for letters of recommendation from my manager here at workplace and a few professors whom I did my bachelors project with/took their courses, however I am not sure how relevant they will be.
I understand that because I don’t have a undergraduate in mathematics, even if I get admissions, they won’t be into any top coveted programs but I am willing to put in the extra effort/fill up the gaps using my experience in that college for graduate school admissions later on.
Does this sound like a plausible plan or am I working for a lost cause?
Do I stand a chance with my profile for admissions into decent masters courses in mathematics in US?
Can attending a decent mathematics masters program work as a stepping stone into some good graduate programs?
Any insights would be helpful. Thanks in advance.