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  • #研究生申请

2020/2/26 伯克利MFE纽约Information Session总结

ApriI时泊宁
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2020/2/26 伯克利MFE Information Session总结:

*边听边记,中英夹杂望见谅!

强调多次、最重要的内容:一定要有cs、data science和machine learning的背景和经历,拥有strong cs skills对于这个项目和求职来说非常非常重要!

1、 Program Requirements: know some finance, i.e. passing CFA level I; very good at economics (micro-economics and international finance); very strong in Python, master in Python!!! Without cs degree, cs background or machine learning knowledge, then need to take (6-month) machine learning course on Coursera or Udacity and get the certificate, important to do machine learning projects by yourself! Must learn differential equations; practice Leetcode or HackerRank at least 200+ problems; anyway be VERY prepared for MFE because the enrolled students are very very strong

2、 Why MFE: good placement, industry projects (in team, very valuable), be exposed to everything ( e.g., can learn data science and have interview opportunities with Facebook)

3、 Application: One-hour interview, including going through CV, 所以CV中写的任何东西都应该能清楚地解释,方便MFE了解你是否有足够的准备;CV里罗列的大学中学到的各种skill应该在工作中能够运用到并体现在cv的work experience里

4、 Go through 与会者的resume: 需要multiple skillsets,对于本科生的建议,一个major是不够的,最好兼读一个cs;大家的经历更多都是econ、corporate finance,而非quant,需要工作中运用到更多的data science!

总之是个非常看重cs背景的项目,会上发言的一个alumni在高胜还是哪做quant,是machine learning方向

觉得有用的同学帮我加个米吧!我一直积分不够看不了录取的帖子hhh
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