美国哪所大学的毕业生赚钱多？兼Caltech申请文书之一

美国哪所大学的毕业生赚钱多？

兼Caltech申请文书之一：怎么展示自己的好奇心、创造性和行动能力

心路独舞

• 45%进入研究生院或者专业（医、牙、法、CPA等）研究院，这其中的98%进入的是自己的首选学校，其中包括Harvard、Stanford、MIT、Princeton、Berkeley、UCLA等

• 47%的毕业生找到全职工作，基本年薪的中线在$110,000 - $119,000，年薪底薪分布情形如下：

90th percentile is $150,000+

75th percentile is within $120,000 - $129,000

50th percentile is within $110,000 - $119,000

25th percentile is within $90,000 - $99,000

• 5%接受奖学金（fellowship）、实习生（internship）或其他选择。

• 3%的人决定短暂休息再来看看下一步做什么。

1. 加州理工学院（California Institute of Technology），起薪78400美元。

2. 麻省理工学院（MIT），起薪76900美元。

3. 斯坦福大学（Stanford University），起薪70300美元。

4. 卡内基·梅隆大学（Carnegie Mellon University），起薪69700美元。

5. 科罗拉多矿业学院（Colorado School of Mines），起薪6.8万美元。

6. 伍斯特理工学院（Worcester Polytechnic Institute），起薪67300美元。

7. 史蒂文斯理工学院（Stevens Institute of Technology），起薪6.7万美元。

8. 普林斯顿大学（Princeton University），起薪66700美元。

9. 托马斯·杰斐逊大学（Thomas Jefferson University），起薪66300美元。

10. 伦斯勒理工学院（Rensselaer Polytechnic Institute），起薪6.6万美元。

PROMPT : Tell us about a life situation, media story, or topic – beyond or outside of a classroom or formal assignment – that has captivated you, inspired your curiosity, and led you to delve more deeply into learning about a subject on your own. (250 words)

I scrolled through social media, and a video caught my eye. A video of someone coding. They were not the stereotypical coding geek - someone in a dark basement surrounded by a 3-monitor display. Instead, they were coding on the streets of New York City, surrounded by a crowd, who watched in awe as the coder generated brilliant music and played it through giant speakers. It was not just someone coding, but a musical performance.

Coding music defies computer science stereotypes by transforming it into a performing art. I aspire to be someone friendly, lively, and creative. Coding music helped me be that person. The video showed a coding performance, and instantly, I wished I could do the same. To use code and music, as a way to speak to and connect people within my community.

The video sparked a dream, and I got right to work.

I downloaded Sonic Pi, the code editor for generating music. I played with chord progressions and synthesizers, and quickly I realized the complexity of music. I lacked experience, as my computer science classes never touched on musical coding, and I had never attended a music class before. Yet, I bridged the gap through website articles, stack overflow, and YouTube. I created many songs, some good and some horrendous. Although they are not perfect, my personal endeavor into musical coding was a journey of self-expression, creativity, and, most importantly, having fun.