Hi All,
I am from INDIA and I have done my B.Tech from a state university called U.P.T.U (Uttar Pradesh Technical University). It was the second year of operation for the univeristy when I joined college, which is 8 years back. The college to which I took admission was relatively old ( approx 30 years old) but it was brought under this newly formed university because the authorities wanted all the colleges in the state to operate under one University.
I passed out with 66% marks which was a pretty good score. I scored an avg of 80% in the maths subjects which I studied in my first three semesters ( It was way ahead of others in the class). As I have not passed out from IIT (which is pretty famous in US), I am a bit scared as to how would the admission panel really know how good/bad the score is ?
Another issue was that a 70% was excellent for a student who did Electronics and Comm. from the University whereas it was easy for all pursuing Computer Science to manage 70+ from the university. The avg marks of students really picked up as the university got old as it became easier to study looking at the questions asked in previous exams.
Just wonder how would the admission panel really know all these things when they get down to accept/reject an application of a student.
I am worried because I have really put in a lot of hard work to prepare my application.
- I have 4 years of experience in C++ ( Non Finance Experience).
- I have good knowledge of Excel/VBA.
- I have passed the CFA level 1 and I have just given my CFA level 2
- I have got an excellent score in GRE Maths ( Subject Test )
- I have read quite a few quant fin preparatory books like
1. Amazon.com: The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk): Mark S. Joshi: Books
2. Amazon.com: Introduction to the Mathematics of Financial Derivatives (Academic Press Advanced Finance): Salih N. Neftci: Books
3. Amazon.com: A Primer for the Mathematics of Financial Engineering: Dan Stefanica: Books
and few others....
Not sure whether mentioning the books you have read would really help. But I guess I had no other option as that was the only way I could have figured out whtether I am fit to enter this field. Your views on this too would be appreciated.
Looking forward to your comments/suggestions.
Thanks
I am from INDIA and I have done my B.Tech from a state university called U.P.T.U (Uttar Pradesh Technical University). It was the second year of operation for the univeristy when I joined college, which is 8 years back. The college to which I took admission was relatively old ( approx 30 years old) but it was brought under this newly formed university because the authorities wanted all the colleges in the state to operate under one University.
I passed out with 66% marks which was a pretty good score. I scored an avg of 80% in the maths subjects which I studied in my first three semesters ( It was way ahead of others in the class). As I have not passed out from IIT (which is pretty famous in US), I am a bit scared as to how would the admission panel really know how good/bad the score is ?
Another issue was that a 70% was excellent for a student who did Electronics and Comm. from the University whereas it was easy for all pursuing Computer Science to manage 70+ from the university. The avg marks of students really picked up as the university got old as it became easier to study looking at the questions asked in previous exams.
Just wonder how would the admission panel really know all these things when they get down to accept/reject an application of a student.
I am worried because I have really put in a lot of hard work to prepare my application.
- I have 4 years of experience in C++ ( Non Finance Experience).
- I have good knowledge of Excel/VBA.
- I have passed the CFA level 1 and I have just given my CFA level 2
- I have got an excellent score in GRE Maths ( Subject Test )
- I have read quite a few quant fin preparatory books like
1. Amazon.com: The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk): Mark S. Joshi: Books
2. Amazon.com: Introduction to the Mathematics of Financial Derivatives (Academic Press Advanced Finance): Salih N. Neftci: Books
3. Amazon.com: A Primer for the Mathematics of Financial Engineering: Dan Stefanica: Books
and few others....
Not sure whether mentioning the books you have read would really help. But I guess I had no other option as that was the only way I could have figured out whtether I am fit to enter this field. Your views on this too would be appreciated.
Looking forward to your comments/suggestions.
Thanks