Anshuma

Anshuma

  • Prior to Columbia University, Anshuma attended Mount Carmel College in India and majored in Economics, Math & Statistics.
  • Most helpful course in the MA Statistics Program: Multivariate Statistical Inference
  • Summer 2018: “Working as a Data Analytics/Data Science intern at Expedia at their headquarters in Bellevue.”

“Machine Learning isn’t just a buzz word anymore, it is here to stay!  And this program provides a strong foundation in Statistics, which aids in understanding the nitty-gritty of Machine Learning. Additionally, the program is very flexible in terms of course choices. One can easily cross register in other departments including, computer science, electrical engineering, business school and more.”

Davin

Davin

  • Prior to Columbia University, Davin attended the University of the Pacific for his undergraduate degree and was a Bioengineering major.
  • Most helpful course in the MA Statistics Program: Nonparametric Statistics
  • Summer 2018 – “I have been working part-time as a Data Scientist for QxBranch this past academic year and will continue to work for QxBranch full-time over the summer.” 

“The program is rigorous, intellectually stimulating, and filled with highly motivated students. Its position in one of the best cities in the world also exposes us to the diverse cultures and many opportunities.”

 

Deepika

Deepika

  • Prior to Columbia University, Deepika attended University of Pune and majored in Mechanical Engineering
  • Most helpful course in the MA Statistics Program: Advanced Data Analysis. It covers a lot of practical problems and gets one comfortable with a variety of data.
  • Summer 2018: “I will be interning with Harman International as a Marketing Analyst on the Consumer Insights team.”

“The best part about the MA Statistics program is the multitude of resources that are available. Professors constantly challenge you to achieve more while you enjoy the learning process. My faculty advisors have been helpful in directing me to courses that are aligned with my career goals.”

 

Gloria

Gloria (Hybrid Student)

  • Prior to Columbia University, Gloria attended University of Exeter in the UK and majored in Accounting and Finance ­
  • Most helpful course in the MA Statistics Program: Statistical Computation and Introduction to Data Science
  • Summer 2018: “I will be taking summer programming courses, traveling and will begin networking for employment”.

“Highlights of the MA program include its flexible course structure, supportive career service including counseling, employer sessions and alumni involvement as well as very smart classmates to study with.”

 

Gye

Gye (Part-time student)

  • Prior to Columbia University, Ben attended Harvard and was a Mathematics and Computer Science major.
  • Most helpful course in the MA Statistics Program: Linear Regression
  • Current F/T Employment – “Software engineer at Google”

“My role at Google is quite data-heavy, as my team is in charge of improving local data quality in Google maps. Learning statistics builds more intuition and gives me a set of tools to properly analyze data sets. Also, being able to study part-time at the finest academic institution in NYC is an amazing opportunity in the early years of my career.”

Jenna

 

Jenna 

  • Prior to Columbia University, Jenna attended Tufts University and was a double major in Math and Political Science.
  • Most helpful course in the MA Statistics Program: Introduction to Data Science (a great way to be introduced to R if you haven’t had any experience with it before).
  • Summer 2018: “I am interning at the New York Mets at Citi Field in NYC, in their Baseball Research and Development Department.”

“The Director of Career Development brings in every possible employer to meet with the Statistics MA students in a rather small, intimate setting, which you don’t often get with employers. I also love being an MA Student Representative, which allows me to work closely with the administration (MA team), give them feedback about the program, and have primary access to events and information relevant to the program.”

Lamia

 

Lamia (Hybrid Student)

  • Prior to Columbia University, Lamia attended École Nationale Supérieure des Arts & Métiers at the Generalist Engineering School. She also received an MA in Energy & Environment.
  • Most helpful course in the MA Statistics Program: Advanced data Analysis because it summarizes many courses of data analysis and the final project was very good practice
  • Summer 2018: “I will be taking summer courses in the MA Statistics program and will be graduating after the summer semester. I am planning on starting a PhD in Machine Learning in Paris after the summer.

“What I value most in the program is the course work. I found the theory of data analysis really interesting, especially in Advanced Data Analysis, Modern Analysis and Machine Learning. All of this information will reinforce my preparation for a PhD program. I also found the course, Time Series Analysis, to be very useful because I had concrete examples to work on.” 

 

Leo

Leo

  • Prior to Columbia University, Leo attended Rutgers University and was a double-major in Biochemistry and Math
  • Most helpful course in the MA Statistics Program: Applied Data Science
  • Summer 2018: “I am working as a Data and Marketing Analytics Intern at Shiseido under the department of Digital Center of Excellence.”

“As the Vice President of Columbia Statistics Club, I have gained a better understanding of the cultures and backgrounds of students from different parts of the world. My involvement on campus as an MA Student Representative and with the club, has also allowed me to build a closer relationship with the department. Additionally, Columbia holds many mock interviews, career fairs, and info sessions throughout the semester, which provides me with a lot of practice in speaking with experts among different fields. These experiences have broadened my views of my future career path and have given me more confidence in building professional relationships with employers as well as alumni.”

 

Oded

Oded

  • Prior to Columbia University, Oded attended Tel Aviv University and was a double-major in Accounting and Economics
  • Most helpful course in the MA Statistics Program: Topics in Modern Statistics: Applied Machine Learning for Financial Modeling and Forecasting
  • Summer 2018: “I am currently working at the Rimon Investment Fund, an Israeli based hedge fund.”

“One of the best aspects about this program is the broad selection of electives in various areas of interest. For example, I have been able to deepen my knowledge in finance, while learning new and innovative machine learning methods through the data science sequence. Being located in NYC and having industry leading professors is an unparalleled advantage.  Also, the program’s career counseling and guidance, including resume and cover letters workshops, meetings with employers and the personal and professional care given to each student has been far beyond my expectations.”

 

Sam

Sam

  • Prior to Columbia University, Sam attended Stony Brook University and studied Math.
  • Most helpful course in the MA Statistics Program: Statistical Computing & Introduction to Data Science
  • Summer 2018: “Seeking a data science internship while continuing to tutor math at a local community college.”

“Recently, I finished a group project on option pricing and stock simulation in my Bayesian Statistics class. This project provided me with valuable experience that can be applied to a future job which gives me a valuable edge in the job search.”

 

Scott

Scott

  • Prior to Columbia University, Scott attended the Rose Hulman Institute of Technology and was a double major in Physics and Optical Engineering and a Math minor.
  • Most helpful course in the MA Statistics Program: Time Series Analysis
  • Summer 2018: “I am working at DRW, a Chicago based trading firm on a small risk management team. The work involves traditional and alternative asset evaluation.”

“The MA Statistics program has given me the opportunity to meet with great employers. I also value the project implementations I’ve been able to work on in classes such as Linear Regression, Machine Learning, and Hedge Fund Strategies and Risk.”

 

Stefan

Stefan

  • Prior to Columbia University, Stefan attended the University of Illinois at Urbana-Champaign and studied Statistics and Actuarial Science.
  • Most helpful course in the MA Statistics Program: Statistical Machine Learning and Introduction to Computational Statistics & Data Science
  • Summer 2018: “I will be joining TransUnion, a consumer credit reporting agency, as a summer intern and will be working for the data strategy team.”

“The MA Statistics program includes many networking and job hunting events which help in terms of the job search. Also, there’s a large range of courses to choose from.”