- Joined
- 12/11/22
- Messages
- 33
- Points
- 18
Hi everyone!
I'm a final-year undergraduate student pursuing a dual degree in Computer Science and Economics at BITS Pilani (India), a tier 1 private university in India. I am interested to pursue MFE and would like to have some insights on how to strengthen my profile. My GPA is 9.2/10 (around 3.79/4).
Some of my college coursework is:
1. Finance: Financial Engineering (10/10), Financial Risk Analytics and Management (10/10), Derivatives (took a non letter grade during COVID), Security Analysis and Portfolio management (10/10), Financial Management (10/10), Business Analysis and Valuation (9/10), Financial Accounting (8/10)
2. CS: Parallel Computing (10/10), Deep Learning (10/10), DSA (8/10), Database Systems (9/10), OOP in Java (9/10), Computer Networks (10/10), C Programming (10/10)
3. Economics: Macroeconomics (10/10), Microeconomics (10/10), Banking and Financial Markets (10/10), International Economics (10/10)
4. Math and Statistics: Multivariate Calculus (9/10), Linear Algebra and Complex Variables (7/10), Prob Stats (8/10), Differential Equations (8/10), Discrete Math (8/10), Statistical Methods (9/10), Econometrics (10/10)
Although my work experience thus far is not directly related to quantitative finance, I have secured a six-month internship at a high-performance distributed database startup, where I'll be working with C/C++.
Also, this might be unrelated but I have a second-author publication related to big data analytics (for high speed data streams) in an IEEE Journal (acceptance rate 19%).
I'm planning to take the GRE in Sept/Oct (under the new shorter scheme).
I'd like to seek some advice about these:
Looking forward to hearing your insights and recommendations.
Thanks
I'm a final-year undergraduate student pursuing a dual degree in Computer Science and Economics at BITS Pilani (India), a tier 1 private university in India. I am interested to pursue MFE and would like to have some insights on how to strengthen my profile. My GPA is 9.2/10 (around 3.79/4).
Some of my college coursework is:
1. Finance: Financial Engineering (10/10), Financial Risk Analytics and Management (10/10), Derivatives (took a non letter grade during COVID), Security Analysis and Portfolio management (10/10), Financial Management (10/10), Business Analysis and Valuation (9/10), Financial Accounting (8/10)
2. CS: Parallel Computing (10/10), Deep Learning (10/10), DSA (8/10), Database Systems (9/10), OOP in Java (9/10), Computer Networks (10/10), C Programming (10/10)
3. Economics: Macroeconomics (10/10), Microeconomics (10/10), Banking and Financial Markets (10/10), International Economics (10/10)
4. Math and Statistics: Multivariate Calculus (9/10), Linear Algebra and Complex Variables (7/10), Prob Stats (8/10), Differential Equations (8/10), Discrete Math (8/10), Statistical Methods (9/10), Econometrics (10/10)
Although my work experience thus far is not directly related to quantitative finance, I have secured a six-month internship at a high-performance distributed database startup, where I'll be working with C/C++.
Also, this might be unrelated but I have a second-author publication related to big data analytics (for high speed data streams) in an IEEE Journal (acceptance rate 19%).
I'm planning to take the GRE in Sept/Oct (under the new shorter scheme).
I'd like to seek some advice about these:
- Should I wait to gain explicit work experience in a quant role before applying for the Fall '24 intake, or would my current profile suffice? Looking at older posts and also tracker, most elite programs seem to emphasise on work experience in the quant domain
- Does college tag matter for international students?. Since I'm a non-IIT student from India, I believe some programs like Princeton, Baruch might not be within reach for me. Is there something which can remedy this? Also what could my target programs. (Dream programs are Baruch, MIT, Princeton, UCB, CMU)
- How much value does CFA L1/L2 exam add to an MFE application? Is it worth pursuing to boost my profile?
- Are there any specific skills or knowledge areas that appear weak on my profile for the MFE admissions committees that I should focus on developing?
Looking forward to hearing your insights and recommendations.
Thanks
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