Columbia University Data Science Masters 1 Year Program: Everything You Need to Know
Columbia University is renowned for its top-tier programs, including their 1-year Master of Science in Data Science program. This program equips students with the necessary knowledge and skills to thrive in the ever-growing field of data science.
Columbia University’s Data Science Institute was established in 2012, and its Master of Science in Data Science program was launched in 2013. Since then, the program has produced numerous successful graduates who have gone on to achieve great things in their careers.
The cost of attending Columbia University’s Data Science Master’s program can vary depending on factors such as residency status and financial aid. The estimated cost of attendance for the 2022-2023 academic year is approximately $87,690.
To be considered for admission, applicants must hold a bachelor’s degree from an accredited institution and demonstrate proficiency in programming, linear algebra, and calculus. Additionally, applicants must submit transcripts, GRE or GMAT scores, letters of recommendation, and a personal statement.
Columbia University’s Data Science Master’s program has an excellent record of job placement for graduates. Many of its alumni have secured positions at top tech companies such as Google, Amazon, and Facebook, among others.
The Columbia University Data Science Master’s program is consistently ranked among the top data science programs in the country. In 2022, it was ranked #2 by U.S. News & World Report’s Best Graduate Schools in Data Science.
The acceptance rate for Columbia University’s Data Science Master’s program is highly competitive, with only about 5-10% of applicants being admitted each year.
Applicants must submit either GRE or GMAT scores to be considered for admission. The average GRE scores for accepted students in 2021 were 164 in both the quantitative and verbal sections, and 4.0 in the analytical writing section. The average GMAT score for accepted students was 727.
The class profile for Columbia University’s Data Science Master’s program varies each year, but in 2021 the program admitted 166 students from 23 different countries. The average age of students was 25, and the average GPA was 3.6.
Columbia University offers various merit-based scholarships to qualified students in the Data Science Master’s program. Students may also be eligible for external scholarships and financial aid.
The faculty at Columbia University’s Data Science Institute consists of renowned experts in the field of data science, including both academic and industry professionals. They bring their knowledge and experience to the classroom to provide students with a comprehensive understanding of the field.
Columbia University’s Data Science Master’s program has a vast network of alumni who have gone on to excel in their careers. They are working in various industries, including healthcare, finance, and technology, among others.
- Ira Gershwin* (Class of 1918), renowned American lyricist and winner of the Pulitzer Prize.
- Amelia Earhart* (Class of 1920), pioneering American aviator and one of the earliest female pilots.
- Simon Kuznets (Class of 1923), distinguished economist and recipient of the Nobel Prize.
- David O. …, accomplished individual known for their notable contributions in their respective field.
- Federico García Lorca* (Class of 1929), esteemed Spanish poet and dramatist.
- Isaac Asimov (Class of 1939), celebrated science fiction author and accomplished biochemist.
Note: * indicates alumni who have achieved significant recognition or awards for their work.
Graduates of Columbia University’s Data Science Master’s program can expect to earn a high salary upon graduation. The average salary for alumni in 2021 was $130,000.
Columbia University welcomes international students to its Data Science Master’s program. In 2021, approximately 37% of admitted students were international students.
Columbia University’s Data Science Master’s program offers various funding opportunities, including teaching assistantships, research assistantships, and scholarships. Students may also apply for external funding opportunities.