Application deadline for our Spring 21 admission is November 1st. Download Flyer.
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Dr. Ping Ji about the program
EXPERTISE THAT SETS YOU APART
Drive change with an M.S. in Data Science from the Graduate Center of the City University of New York. As a public university, we offer an exceptional program at an affordable tuition.
In this age of automation and cloud computing, data science experts are in high demand. Our 30-credit program prepares professionals and researchers to capitalize on the data revolution.
World-leading data scientists and computer scientists — all full-time professors — teach courses that have immediate, real-world applications. Featured topics include artificial intelligence, algorithms for big data, data visualization, data mining, and machine learning.
At the Graduate Center, you will gain the analytic planning abilities that will set you apart.
Our location in New York City and our ties to corporations, startups, government, and nonprofits will give you an additional edge.
With data science expertise, the chances to excel in virtually every field — finance, social networks, urban planning, biomedicine, forensics, and policy, to name a few — are endless.
There has never been a better time for this learning or this program.
EXCEPTIONAL PROFESSORS
World-leading data scientists — all full-time professors — from throughout CUNY teach our courses. There are no adjuncts or part-time teachers. Master’s students take classes alongside top doctoral students.
AFFORDABLE TUITION
As a public institution, we offer an exceptional program at a fraction of the cost of other universities.
30 CREDITS
The curriculum is 30 credits. Students take four foundational courses and select two elective courses. A capstone project — either a research project or an internship — extends the learning beyond the classroom.
GETTING IN
Students with a strong academic background in computer science and related STEM fields are encouraged to apply.
WHAT WILL YOU LEARN?
Data Science Fundamentals
Our four core courses give you a solid grounding in data science.
They cover
Machine learning,
Data visualization,
Big data analytics, and
Data mining.
Data Analytics
Analyzing vast amounts of data is a key part of data science. We offer a wide range of elective courses focused on ways to analyze data. You get to choose two of them.
Sample topics include
Artificial intelligence
Database management
Algorithms for big data
Social network analysis; and
Natural language processing.
Data Applications
Data has so many applications in today’s world. We offer a broad selection of elective courses that focus on some of the most exciting and widespread applications. You get to choose two of them.
Sample topics include
3D photography,
Speech and audio understanding,
Vision, brain, and assistive technologies,
Parallel scientific computing,
Big spatial data, and
Social and cultural computing
TYING IT ALL TOGETHER
You get to synthesize your learning with a hands-on capstone project. You can choose a research project or a data science internship at virtually any type of organization in the New York metro region — digital media, finance, government, biotechnology, health care, entertainment, and beyond.
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