I had 18 months of Work experience as a Data Scientist at the time of applying in a mid-sized Indian Company

1 very strong LoR, 1 pretty good LoR. Mathematics undergrad, two research internships and 1 year of work experience for a data team. Some good extracurriculars such as head of the student association and international competitions in competitive programming.

3 strong LoRs, strong motivation letter, IELTS 7.5 (R: 9.0, L: 7.0, W:7.0, S:6.5), several extracurricular experiences in Data Science, and won several local competitions. ESOP requested (I think it means they still have to give me feedback for the scholarship. Can someone please confirm?)

Got 2 good LoRs and a strong GPA at a very good Dutch university, good luck to the rest!

French top engineering school, no research or internship experience.

1.5/1.0 German GPA from TU Munich. No CS Bachelor. 2 exchange semesters, 2 industry internships, 1 research internship, various extracurriculars. No GRE submitted. Received E-Mail to check application portal.

Graduate from a top Korean university with a high GPA. Have a lot of research experience. Strong LORs and strong SOP. Happy!

Two NeurIPS submissions, one oral. Idk why I was not accepted. Anyway, got accepted to PhD in University of Toronto.

Fyi. Decisions for DS MSc have already been out. If you have not received acceptance or rejection, that means that you are on a waiting list. By the end of March final results will be announced. However, with a high probability, your application is rejected, because the number of people who are on the waitlist and got accepted is really small.

Top %2 in CS major from top uni in my country. Multiple research experience under different professors, highlight being a second author publication in top conference. TA in undergrad probability & machine learning courses. Various data science and software interships, including a global company.

2 yrs RA, 2 first-authored pending publications.

Industrial Engineering to be graduated as 2nd best student this year. 1.5 years of mediocre research experience though no paper. Solid internships in data science and optimization. Strong interest in statistics and taken classes in cs related to data science.