karankaul18 wrote:
Hello everyone.
I would like to know how good are my chances of securing admission in the MFin Program of MIT Sloan, MFA of LBS and MFE of UC Berkeley Haas.
Following are my credentials:
1. Age-20 Years
2. Graduation - Final Year student of Bachelors of Commerce-B.com.(Hons.), at Shri Ram College of Commerce (#1 UG Commerce Institution of India), University of Delhi. CGPA after 4 semesters - 7.6/10
3. Educational Background - Graduated from school with overall 94%. Scored 96% in Economics, 94% in Mathematics and Accountancy.
4. GMAT - 710 (Q48,V40,IR6)
5. IELTS - Overall Band 8.0 (S-7.5,L-8.5,R-8.5,W-7.0)
6. Work Experience - 1.Interned at an NGO, 2. Interned as a Sports Journalist for a soccer league, 3. Interned in the Sales and Distribution Department of Petronas India Pvt. Ltd., 4. In advanced discussion with EY for an internship in Risk Management.
7. Co-Curricular - Play soccer for the college team and also played for the school, A self-taught drummer, Winner of various competitions, debates throughout school years, Corporate Communication Head of the Internship Cell of the college in sophomore year, member of the Finance and Investment Cell of the college in junior year, member of Sports Cell in junior year, ranked 37th in my state in 5th International Maths Olympiad, member of BBC School Report Project during school years.
8. Skills - Excellent communications skills, learning Python and Data Sciences, learning Financial Modelling and Valuation, Will be appearing for an exam for certification in derivatives (beginner and intermediate levels) from the National Stock Exchange of India.
Thanks in advance!
Everything is great. But you will be competing with people having work ex/internships in core profiles in IB/hedge funds etc. I know many people who have completed CFA levels and apply for MFin. The acceptance rate of these schools is low, but you should definitely give it a shot. Just be clear in your essays and show how you can contribute to the school, your expectations from the course and whatever you did until now will help you get closer to your dream career.
Also go through the requirements of each course. For eg. MFE from Berkeley Haas requires
Experience with mathematical tools (Example: Matlab)
Experience in computer programming (C++, Python) and familiarity with computers as a computational and management tool
Experience with statistical and econometric applications (Example: R)
Experience with machine learning concepts
Excellent writing, speaking, and presentation skills (in English)
Recommended post-university work experience. Preferred but not required. The MFE also admits undergraduate students with strong academic background with little to no experience.
As you mentioned you are learning python and data sciences, ask yourself what proficiency will you achieve by the time you apply for the program? Since it's a 12 month course, It's pretty intense. You won't get time to learn something new.
I'm no expert, but I did a bit of research on this. You have a strong profile and relevant background. If you hit the right spots, you'll easily get into the program.