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- 12/3/23
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Hello everyone,
I am applying to MSCF and MFE programmes soon. I have my choices below and I would like to know if I'm aiming too high.
Academic Background:
Work Experience:
Skills & Certifications:
Here are the programmes I'm aiming to get, please tell me if I'm being delusional, because it seems like my GPA is not going to cut it for the top 3-4 programmes.
Top Masters Programmes choices in no order of preference:
Cambridge - Data Intensive Science
Oxford - Mathematical and Computational Finance (should I even apply for this?)
MIT - MFin
CMU - Computational Finance
Columbia and Cornell - MFE
NYU MFE (supposedly safety. or am I over-aiming)
I would heavily prefer going into buy-side straight out of grad school, and would heavily appreciate some advices related to programmes and schools to choose too.
Thank you in advance!
I am applying to MSCF and MFE programmes soon. I have my choices below and I would like to know if I'm aiming too high.
Academic Background:
- Currently pursuing a Bachelor of Science in Business Analytics from the Computing Faculty from a T3 University in Asia
- Will graduate will grades slightly above a first class honors (Think in the range of 4.5-4.6 out of 5)
- Courses focus around a mix of machine learning, computing, statistical learning
- Relevant and Important Modules include: Probability and Statistics, Econometrics, Calc I & II, Lin Alg I, Data Structures & Algos, OOP, Software Dev, Time series analysis, regression analysis, and 2-3 other ML modules which teach things like NLP, Deep Learning, Computational methods like markov models, etc.
- Undergrad Dissertation in a Machine Learning related topic
Work Experience:
- 2 Internships with major investment banks, as a data scientist/financial analyst
- 2 Internships with medium sized hedge funds (think > 5B AUM), as a quant researcher
- Total work exp sums up for slightly longer than 1.5 years
Skills & Certifications:
- Some different certifications on applied finance from prestigious universities (paid certificates)
- No deans list, but some certifications on doing well for certain ML modules
Here are the programmes I'm aiming to get, please tell me if I'm being delusional, because it seems like my GPA is not going to cut it for the top 3-4 programmes.
Top Masters Programmes choices in no order of preference:
Cambridge - Data Intensive Science
Oxford - Mathematical and Computational Finance (should I even apply for this?)
MIT - MFin
CMU - Computational Finance
Columbia and Cornell - MFE
NYU MFE (supposedly safety. or am I over-aiming)
I would heavily prefer going into buy-side straight out of grad school, and would heavily appreciate some advices related to programmes and schools to choose too.
Thank you in advance!
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