The Master of Statistics program of Columbia University has many advantages and good employment prospects. Let me introduce the advantages and curriculum of 20 18 Columbia University Master of Statistics.
Advantages of Columbia University Master of Statistics 20 18;
The Department of Statistics provides cooperative learning with related majors of other colleges, including operations research major of Engineering College, financial mathematics major of Mathematics Department, actuarial major of Continuing Education College and quantitative method major of Social and Economic Research Policy Institute.
Scientific research and practical opportunities. Columbia University provides opportunities for a wide range of statistical applications. Starting from the second semester, you can apply for the position of grader. Although the school does not provide research and teaching assistant positions for graduate students in the Department of Statistics, there may be opportunities for teaching assistant positions outside the Department of Statistics. In addition, the Statistics Department of Columbia University keeps close contact with researchers from various industries, Wall Street, medicine and basic science in new york, and is committed to solving the statistical needs of school groups.
It belongs to the STEM project. The so-called STEM major refers to science, technology, engineering and mathematics, and statistics of Columbia University belongs to the category of science.
The Master of Statistics in Columbia University is an employment-oriented program, which is more suitable for professionals who have a strong interest in statistics and want to continue to study and apply statistical knowledge to prepare for future employment in related industries or meet the needs of career promotion.
Graduates' employment fields, such as data science, hedge funds, investment banks, consulting companies, etc. Companies employed include Morgan Stanley, JPMorgan Chase, Google, Facebook and American Express.
20 18 Columbia university master of statistics course;
Course advantages:
You can cross-select courses. The elective courses offered by Columbia University cover almost all professional subjects of interest to everyone. You can choose different professional courses according to your employment interests, such as actuarial science, financial mathematics, financial engineering, computer programming, economics and so on. At the same time, if you are interested in continuing to study for a doctorate in statistics, you can also take doctoral-level courses after full academic preparation and project tutor's approval, or choose courses of some academic giants, and you can also get their letters of recommendation. It can be seen that the course selection of statistics at Columbia University is flexible and meets the different needs of students.
Courses:
The Master of Statistics in Columbia University consists of four core compulsory courses and six elective courses, and at least 10 courses are required to obtain a degree. Of the six elective courses, at least three must choose the courses offered by the Statistics Department.
Core required courses:
? GR 5203: probability
? GR 5204 reasoning
GR 5203 and GR 5204 need to study in the first semester.
? GR 5205: linear regression model (3 credits)-you need to study in the first semester.
Students enrolled in the fall of 20 16 will take "top courses" in the last semester of the project. Select only one of the following options:
? GR 529 1: advanced data analysis (3 credits) or
? GR 5242 Advanced Machine Learning (3 credits)-a new apex course.
Students enrolled in the fall of 20 17 will take "top courses" in the last semester of the project.
GR 529 1 advanced data analysis (3 points).
I will introduce the advantages and curriculum of 20 18 Columbia University Master of Statistics, hoping to help you.