Graduate program of Engineering College of Columbia University 15. Among this 15 major, there is this one: Master of Science in Financial Engineering? (Financial engineering project, referred to as MSFE? )。

Among the 15 majors in Columbia University School of Engineering, only financial engineering is an interdisciplinary major combining finance and engineering (of course, other majors are also interdisciplinary, but most of them are the intersection of internal fields of engineering, and the span is not as big as financial engineering). So, what is this "traitor" from the Engineering College of Columbia University?

Columbia's financial engineering is actually a combination? Math? With what? Statistics? By using some? Physical modeling knowledge? And then what? Applied mathematics knowledge? A major explains financial bond products and financial markets. In the first half of this major, the teacher will teach some basic knowledge; In the second half of the academic year, students will specialize in different fields, including financial derivatives, finance &; Economic field, asset allocation and management, computational finance, machine learning, building a trading system, etc. (This description comes from the financial engineering project leader of Columbia University? Emanuel Derman? Dictation, here for everyone to translate. In addition, Emanuel Derman is the author of two very famous financial books: My Quant Life: Reflections on Physics and Finance and models. behaviouring. baddy. Friends who are interested in financial engineering and quantitative finance can have a look).

As can be seen from the above description, the financial engineering course of Columbia University can be said to be full of "engineering flavor". Its core curriculum also reflects this point.

What is your major? Core courses? It includes not only mathematics courses such as mathematics, optimization model and statistical model, but also statistics courses such as Python, statistical analysis and Monte Carlo simulation (yes, it is Python again. As a "universal glue" language, Python has powerful functions in data statistics and financial analysis).

In addition, in order to urge MSFE students to study, Columbia University School of Engineering requires students to participate? "? Series of seminars on financial engineering "? , which is the "Financial Engineering Seminar Series" you see above. In this seminar, the School of Engineering of Columbia University will invite Daniel who has recently been in the field of financial engineering to share. In addition to attending seminars, MSFE students should hand in a "study diary" at each seminar to help them sort out their learning ideas and form a learning system. In a word, it can be seen that the schoolwork of MSFE students in Columbia University is very heavy.

It is worth mentioning that Columbia University also has a graduate student majoring in mathematics, specializing in financial mathematics (MSFN).

The following is a summary of the similarities and differences between MSFE and MSFN.

Similarities:

Both MSFE and MSFN have teaching contents related to financial mathematics, such as Black-Scholes model and lattice model.

Both MSFE and MSFN will provide students with "stochastic process" courses.

Both MSFE and MSFN courses will involve statistical knowledge, including time series analysis, regression analysis and so on.

Difference:

In MSFN, "Numerical Method" is a compulsory course; In MSFE, "Numerical Calculation Method" is an elective course.

MSFN has no programming related courses; Students majoring in MSFE have elective courses related to programming. (PS: Of course, according to the regulations of Columbia University, MSFN students can also take MSFE programming courses. So this is not a very big difference in the strict sense)

Colombia? MSFE？ Professional access standard

After talking about the information related to the major, I want to share with you the admission criteria for the graduate program of financial engineering in Columbia University (because the focus of this article is the major itself, I will briefly mention the application).

Hardware requirements:

The following information is the admission requirements for the financial engineering project of Columbia University, which was compiled by official website of Columbia University Engineering College for you: TOEFL minimum 100, IELTS minimum 6.5;

There is no minimum requirement for GRE, but here official website has given applicants a standard, that is, the average GRE score of successful applicants in this project this year is (GRE total score *9 1%). Small partners who are interested in applying can be used as a reference ~ In addition, MSFE of Columbia University does not accept GMAT scores (Emanuel Derman also said in an interview that MSFE of Columbia University is completely different from MBA).

Application background:

The preferred applicants for this project are engineering, mathematics, computer science, statistics, economics, finance or other similar quantitative backgrounds. Prerequisite courses require students to have studied probability, calculus and linear algebra.

There is no requirement for work experience in the project, but the school recommends that applicants have certain project experience, whether it is internship opportunities or scientific research projects in related fields. So if you are interested in applying, hurry up and do the project ~