Master’s in Data Science

Name: Master’s in Data Science
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Our m. S. In data science program equips you with the advanced knowledge, practical skills, and interdisciplinary perspective needed to thrive in this fast-paced and constantly evolving field. Through a rigorous curriculum, hands-on projects, and close collaborations with world-class faculty and ind

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Duration

2 Years

Course Details

Our m. s. In data science program equips you with the advanced knowledge, practical skills, and interdisciplinary perspective needed to thrive in this fast-paced and constantly evolving field. Through a rigorous curriculum, hands-on projects, and close collaborations with world-class faculty and industry partners, you’ll become a leader in shaping the future of data science.

Shaping the Future of Data Science

The Master of Science in Data Science is a highly selective program designed for students with a strong foundation in mathematics, computer science, and applied statistics. Our curriculum focuses on developing innovative methods and cutting-edge techniques to tackle the most pressing challenges in data science.
In today’s data-driven world, organizations across industries are grappling with an unprecedented volume and velocity of data.
The demand for skilled professionals who can harness the power of this data to drive insights, innovation, and impact has never been greater.

36 Credits 2 Years Full-Time Study
The curriculum comprises 36 credits and offers several ways to structure the program:

The Industry Concentration, which allows you to pursue a specialization aligned with your career goals and requires industry-targeted coursework, a Practical Training experience, and an internship.
The Biomedical Informatics (Medical School) Track, which has a biomedicine-based capstone project that is completed with a biomedicine mentor.

The Data Science Track, which has 3 “areas of interest”:

Big Data
Mathematics and Data
Natural Language Processing

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 offers a limited number of competitive tuition scholarships to selected students admitted to the program. These scholarships cover a portion of the tuition costs for up to two years. All applicants for admission are automatically considered for these awards.

Introduction

The Center for Data Science (CDS) is New York University’s focal point for university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading training and research facility serving researchers, industry professionals, and students at the forefront of Data Science.

Mission

Our mission is to advance data science research, provide cutting-edge educational programs, and foster interdisciplinary collaboration across NYU and beyond. We strive to create a global impact by developing innovative solutions to real-world challenges.

History
Highlights:

2013: CDS was established to support NYU’s goal of creating a world-leading data science training and research facility
2013: Launched the MS in Data Science program, the first of its kind
2016: Moved to the historic 60 5th Avenue “Forbes Building,” expanding our facilities and resources
2017: Introduced the PhD program in Data Science
2019: Launched the undergraduate program in Data Science
2024: Grew to 22 jointly appointed interdisciplinary faculty, 3 clinical faculty, and over 70 associate and affiliate faculty from 25 departments in 9 schools and units

Research
Our faculty and researchers are experts in various areas of data science, including:

Machine Learning
Optimization and Large-Scale Computation
Natural Language Processing
Computational Statistics
Quantitative Methods
Responsible Data Use
System Design for Large-Scale Data
Theoretical Statistics
Mathematics of Data Science

They apply their expertise to a wide range of domains, such as neuroscience, psychology, physics, artificial intelligence, politics, medicine and healthcare, music technology, linguistics, business analytics, and biology.

Education
CDS offers a range of top-ranked educational programs:

PhD in Data Science
MS in Data Science
Undergraduate Program in Data Science
Online resources like Yann LeCun’s unique YouTube-based Deep Learning course

Our programs provide students with a critical understanding of both technical and ethical principles, preparing them for successful careers in data science.

Community

CDS fosters a vibrant interdisciplinary community, actively involved in research and teaching across various academic departments at NYU. We host widely-attended seminars on topics such as “Math and Data,” “Text as Data,” and “AI, Misinformation, and Policy Seminar Series” promoting lively intellectual exchange. Our student groups maintain a full calendar of events, and we have a far-reaching alumni network led by an active Alumni Council.

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New York Branch

60 5th Ave, NY 10011, New York

Master’s in Data Science

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