The Master of Science in Computational Finance program is a joint venture between four Carnegie Mellon colleges: the Dietrich College for statistics, the Heinz College for programming, the Mellon College of Science for math and the Tepper School of Business for finance.
With faculty from each of these colleges focused on the quantitative finance career paths of interest to our students, our interdisciplinary curriculum is well-balanced between theory and practice with every course tailored to meet the needs of the quantitative financial services industry. In addition, we embed programming deep into our curriculum, an emphasis that gives our students an advantage in today’s increasingly technical financial markets.
Through the collaborative efforts of these four schools, you will obtain the knowledge and develop the skills needed for successful careers in trading, financial modeling, quantitative portfolio management and risk management.
卡内基梅隆大学的Master of Science in Computational Finance项目由该校IT、统计、数学、金融四个领域的四所学院联合打造,学生可以获得丰富的课程资源。项目课程设置成熟,良好结合理论与实践运用,为学生进入金融工程领域就业打下殷实基础。在Quantnet金融工程排名中,该项目已四年蝉联第一。其优势和申请难度不言而喻。
该项目对于申请人的硬件要求严格,非常看中申请者的本科院校、数理编程能力、实习经历等各个方面的条件,而2016年录取的申请人中,一半以上都来自计算机科学、工程等专业,这对农业经济专业的Z同学来说成为了很大的障碍。而天和老师通过仔细分析Z同学的实际情况,并结合多年来在顶尖金工项目的申请经验和对该项目招生偏好的深入了解,为Z同学制定了全面的背景提升计划,弥补了Z同学专业和实习背景的不足。此外也通过文书突出了Z同学的金工潜质和对行业的深刻见解,巧妙地对Z同学的背景扬长避短。最终赢得招生官的垂青,成功获得CMU金工offer!
天和金融工程方向申请非常擅长,曾经帮助众多学生进入金融工程顶尖项目如哥大金工、CMU金融工程,点击了解详情内容:
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