NYU is a renowned private research university that has been educating students for over two hundred years. New York University (NYU) was founded by Albert Gallatin in 1831 as the University of the City of New York. It was renamed New York University in 1896 and soon after began opening branch campuses throughout New York City. The university consists of twenty-one colleges and schools, which offer more than 350 majors, minors and doctoral programs to over 50 000 students.

If you are looking to pursue a career as a data scientist, it’s important to apply to the best program for your goals. The NYU Data Science Masters Acceptance Rate is one way to measure the competitiveness of a program. It’s calculated by dividing the number of accepted applicants by the total number of applicants from the previous school year. This reflects the percentage of people lucky enough to be accepted into the program they wanted.

NYU is one of the most prestigious universities in the nation. For many people, the idea of attending this school is nothing short of a dream. That’s why when NYU released its Data Science Masters program, it became one of the most in-demand programs in the world. Are you interested in getting information about college degrees, but don’t have a particular site that affords you the answers you desire? Have you been looking for NYU Data Science Masters Acceptance Rate but haven’t found and relevant results?

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Graduate school acceptance rates and other prerequisites may vary by program and subject area and vary from year to year. Even the most qualified and confident applicants are concerned about going to graduate school. But don’t worry! Graduate school acceptance rates, which provide the percentage of applicants who have been admitted to a particular school or program in an academic year, can help you determine how likely you are to be admitted to a given program.

NYU Data Science Masters Acceptance Rate

Educating The Next Generation Of Data Scientists

The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science.

We live in the “Age of the Petabyte,” soon to become “The Age of the Exabyte.” Our networked world is generating a deluge of data that no human, or group of humans, can process fast enough. This data deluge has the potential to transform the way business, government, science, and healthcare are carried out. But too few possess the skills needed to use automated analytical tools and cut through the noise to create knowledge from big data.

A new discipline has emerged to address the need for professionals and researchers to deal with the “data tidal wave.” Its object is to provide the underlying theory and methods of the data revolution. This emergent discipline is known by several names. We call it “data science,” and we have created the world’s first MS degree program devoted to it.

36 CREDITS | 2 YEARS

The curriculum is 36 credits, and offers two ways to structure the graduate program that gives students the opportunity to pursue a specialization through the Industry Concentration or tracks.

Both full-time and part-time students must complete all 36 credits within 5 years of enrolling at NYU as an MS in Data Science candidate.

SCHOLARSHIPS

NYU will offer a limited number of tuition scholarships to selected students admitted to the program. All applicants for admission will be considered for these awards on a competitive basis. These scholarships will cover a portion of the tuition costs for up to two years.

columbia data science masters acceptance rate

The incoming master’s class at DSI is filled with bright students from across the country and around the world. From 1,200 applicants, the institute admitted 143 new master’s students – an acceptance rate of 20 percent. The class has 92 international students (64 percent) and 51 Americans (36 percent). Overall, the students say they were drawn to DSI due to its strong academic reputation, rich curriculum, prominent professors and location in New York City.

Most (63) earned their undergraduate degree more than two years ago; 25 earned their bachelor’s within two years of enrolling at DSI, while 55 of them got their degrees within a year of enrolling.

The academic profile of the class is also exceptional. The average undergraduate GPA score is a 3.7, and average GRE scores are 166 in quantitative and 157 in verbal. The average TOEFL score is 106.5.

The gender mix in the class is well balanced, with women making up 45 percent of the class and men 55 percent. Of the international students, 44 come from China, 24 from India and the remainder are from 19 countries. In terms of their academic backgrounds, more than half, or 59 percent, have technical degrees, whereas 22 percent studied math or statistics and 19 percent have non-technical degrees.

NYU Data Science Masters Acceptance Rate

NYU was the first university in the world to offer an MS in Data Science program and is one of the best in the world. The MS program is being run by the Center for Data Science at NYU. It is a highly selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science. The students have access to courses from a wide range of departments including statistics, machine learning, artificial intelligence (AI), biostatistics, business, economics, psychology etc. Students get the opportunity to work closely with folks in other fields to apply data science to solving real-world problems. You will get to study tracks like Big Data, NLP (natural language), mathematics, data, and physics depending on your interest and career goals. There is ample opportunity for practical training in the form of an internship semester and a capstone project. Besides, the department conducts workshops, tech talks and other events in collaboration with industry professionals. The acceptance rate for NYU data science program is around 15%. Although, the acceptance rate was 5% in 2014 & 2015.

Course Description

The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science.

• Courses:
• Required Courses:
  • Introduction to Data Science
  • Probability and Statistics for Data Science
  • Machine Learning
  • Big Data
  • Capstone Project and Presentation
• Choose any one from the following courses:
  • Inference and Representation
  • Deep Learning
  • Natural Language Processing with Representation Learning
  • Natural Language Understanding and Computational Semantics
  • Optimization-based Data Analysis
  • Optimization and Computational Linear Algebra

Eligibility and Application Requirements

• GRE scores
• TOEFL or IELTS; however, TOEFL is preferred (Required for all applicants whose native language is not English and who have not received a university degree in an English-speaking country)
• Official college transcripts
• Three letters of recommendation (we prefer all letters on letterhead)
• Statement of Academic Purpose.

Job Prospects and Placements for Data Science at New York University

The NYU Center for Data Science is committed to supporting its graduate students in the pursuit of their interests. We will help them explore career options and create opportunities in order to secure meaningful full-time placement after graduation. We have initiated several efforts to achieve this goal; among them are company information sessions, career fairs, and a professional development series complemented by a compilation of resources and available staff to support the student population in this effort.

Data Science Scholarships in New York

We’ve highlighted university scholarships & fellowships that might cover your data science degree, but there are plenty more out there! Check with the Graduate Studies Office to learn more about general aid and financial options.

New York University

• Graduate School of Art and Science Financial Aid: The GSAS offers assistantships, awards, and scholarships to graduate students admitted to the Center for Data Science programs.
• Center for Urban Science and Progress (CUSP) Scholarships & Fellowships: The CUSP, which administers the NYU’s Advanced Certificate and MS in Applied Urban Science and Informatics, offers both fellowships and merit-based scholarships to certain students.
• Steinhardt School of Culture, Education, and Human Development Scholarships: Steinhardt offers the MS in Applied Statistics for Social Science Research. It has all kinds of full-time and part-time awards for graduate students, including merit- and need-based aid.
• Stern School of Business Full-Time MBA Scholarships: Stern administers the full-time MBA with a specialization in Business Analytics. MBA students are eligible for a long list of merit-based scholarships.
• Tandon School of Engineering PhD Funding: Tandon offers a PhD in Computer Science with a specialization in data science subjects. All full-time PhD students at Tandon receive financial support.

nyu data science masters tuition

Fees & Funding

Tution & Application Fees

Year	Year 1	Year 2
Tuition Fees	₹2679704.85	₹2679704.85

Scholarship Grants & Financial Aids

Name	Amount	International Students Eligible	Application Deadline
BrokerFish International student scholarship	₹74850	Yes	Dec 21, 2020
Debesh Kamal Scholarship	₹103667.25	Yes	Apr 30, 2020
Hani Zeini Scholarship	₹74850	Yes	Mar 1, 2021
Ritchie-Jennings Memorial Scholarship Program	Variable	Yes	Jan 30, 2020

nyu data science certificate

Data analytics and visualization are growing topics with a lot of room for advancement. To equip students to obtain insights from complex data sets, these courses focus on the social sciences as well as the fields of computer science, statistics, and management. They look at how to evaluate and present findings in ways that affect people’s ideas and behaviors using the most up-to-date technologies and analytical methodologies. Find out more about the Data Visualization Certificate.

Data Mining, Predictive Analytics, and Big Data

Gain an overview of the collection, analysis, and visualization of complex data, as well as the relevant pivotal concepts.

Interactive Data Visualization

Gain the ability to scrape, clean, and process data, as well as to use standalone visualization applications to quickly explore data.

Statistical Foundations of Data Visualization

This course covers the essentials of the statistical foundations of visualizing data.

The Art of Data Visualization

The course offers immersion into the creative process, the discipline of sketching and revising, and the practical use of data visualization tools.

Visual Analytics with Tableau

Master the art and science of communicating business-relevant implications of data analyses using Tableau, the industry’s leading software.

Data Visualization for Business

Learn to generate, analyze, and communicate data for a specific business-related project.2

Fundamentals of People Analytics

Beginning with fundamentals, identify human capital issues in the workplace and learn to apply metrics that can yield insights into the workforce.

Introduction to Data Visualization

Gain an overview of data visualization concepts and models, with a focus on trends in the fields of business, journalism, and graphic design.

Quantitative Boot Camp: Foundational Statistics for Global Affairs and Beyond

Gain a practical, hands-on foundation in basic statistics by leveraging open data sources and free, open-source data analysis tools.

According to data from the NYU, the acceptance rate for Fall 2015 was about 25%. In comparison, Columbia had an acceptance rate of 17.5%, and Harvard had an acceptance rate of just under 5%. Although it is normal for schools to have different acceptance rates, those numbers are still quite extreme and make the conclusion all the more powerful: if you can get into NYU, you are more than likely going to succeed in your Data Science studies.

New York University is not only one of the top ranked universities in the country, but also one of the most competitive. In fact, they have one of the highest acceptance rates for a Master’s designation program in Data Science, with just 13% acceptance. As such, if you are interested in this opportunity and plan to apply, be sure that you are prepared.