Detailed introduction to Columbia University’s master’s program in statistics. Come and take a look.

Columbia University’s Master of Statistics program has many advantages and good employment prospects. Next, I will introduce to you the advantages and curriculum of Columbia University’s master’s degree in statistics.

Advantages of Columbia University’s Master of Statistics in 2018:

The Department of Statistics provides cooperative learning with related majors in other colleges, including the Operations Research major in the School of Engineering and the Financial Mathematics major in the Department of Mathematics. , Actuarial Science at the School of Continuing Education, and Quantitative Methods at the Institute for Social and Economic Research and Policy.

Scientific research and practical opportunities. Columbia offers a wide range of opportunities for statistical applications. Starting from the second semester, you can apply for the position of grader. Although the school does not offer research assistant and teaching assistant positions for master's degree students in the Department of Statistics, there may be opportunities for teaching assistant positions outside the Department of Statistics. In addition, the Department of Statistics maintains close ties with New York City's various industries, Wall Street, medicine, and basic science research scholars to address the statistical needs of the school community.

Belongs to STEM projects. The so-called STEM majors refer to: Science, Technology, Engineering, and Mathematics, and statistics at Columbia University falls under the category of Science.

Columbia University’s Master of Statistics is an employment-oriented program, which is more suitable for professionals who have a strong interest in statistics and want to continue to learn and apply statistical knowledge to prepare for future employment in related industries or to meet the needs of career advancement.

Graduates are employed in fields such as data science, hedge funds, investment banks, consulting firms, etc.; companies they work for include Morgan Stanley, JPMorgan Chase, Google, Facebook, American Express, etc.

2018 Columbia University Master of Statistics Curriculum:

Curriculum Advantages:

Cross-selection of courses is possible. The elective courses provided by Columbia University cover almost all professional subjects that everyone is interested in. You can choose courses in different majors according to your employment interests, such as actuarial science, financial mathematics, financial engineering, computer programming, economics, etc. At the same time, in statistics courses, if you intend to continue studying for a doctoral degree, you can also take doctoral-level courses after sufficient academic preparation and approval by the project supervisor, or choose some courses from famous academics, and you may also have the opportunity to obtain to their letters of recommendation. It can be seen from this that the selection of statistics courses at Columbia University is flexible and can meet the different needs of students.

Curriculum:

Columbia’s Master of Statistics is composed of 4 core required courses and 6 elective courses. You must complete at least 10 courses to obtain a degree. Among the 6 elective courses, at least 3 must be taken from courses offered by the Department of Statistics.

Core required courses:

GR 5203: Probability

GR 5204 Reasoning

GR 5203 and GR 5204 are required first Taken in semester.

GR 5205: Linear Regression Models (3 credits) – Required to be taken in the first semester.

Students enrolling in the fall of 2016—will take the “capstone course” in the last semester of the program. Choose only one of the following:

GR 5291: Advanced Data Analysis (3 credits) or

GR 5242 Advanced Machine Learning (3 credits) – the new capstone course.

Students enrolling in the fall of 2017—will take the “capstone course” in the last semester of the program.

GR 5291 Advanced Data Analysis (3 points).

This is the introduction to the advantages and curriculum of Columbia University’s Master of Statistics in 2018. I hope it will be helpful to everyone.