Overview

The M.S. in Data Science at The City University of New York (CUNY) is a distinguished programme that prepares students to thrive in a data-driven world. Recognised for its academic excellence, CUNY's Data Science programme is ranked as one of the top in the nation, reflecting its commitment to providing high-quality education and training in this rapidly evolving field. The programme offers a robust curriculum that encompasses a wide range of topics essential for mastering data science, including machine learning, data mining, and data visualisation.

Why Data Science at The City University of New York?

CUNY stands out due to its exceptional faculty, comprising leading data scientists who are dedicated to student success. The university's strategic location in New York City provides unparalleled access to a diverse array of industries, including finance, healthcare, and technology, enhancing students' learning experiences through real-world applications. This unique position also fosters partnerships with numerous organisations, offering students valuable networking opportunities and insights into industry trends.

Tuition Fee Breakdown

The tuition fees for the M.S. in Data Science are as follows: USD 855 per credit for both international and national students. This competitive pricing makes CUNY an attractive option for those seeking a quality education without incurring substantial debt. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the M.S. in Data Science is meticulously designed to ensure students gain both theoretical knowledge and practical skills. The programme includes:

Core Courses: Covering fundamentals such as machine learning, data visualisation, big data analytics, and data mining.
Data Analytics: Elective courses focusing on data analysis techniques, including artificial intelligence and database management.
Data Applications: Electives that explore applications of data in various fields, such as 3D photography and natural language processing.
Capstone Project: A hands-on project that allows students to apply their learning in a real-world context, either through research or internships.

Industry Demand

The demand for data science professionals continues to rise across multiple sectors. With the proliferation of data in today's digital landscape, organisations are increasingly seeking skilled individuals who can analyse and interpret complex datasets. Graduates of this programme are well-equipped to meet this demand, finding opportunities in finance, urban planning, biomedicine, and more.

Careers with Data Science

Graduates of the M.S. in Data Science from CUNY have gone on to secure positions in prestigious organisations and various industries. Alumni have found success in roles such as data analysts, machine learning engineers, and data scientists, working for notable companies and contributing to significant projects. The skills gained through this programme open doors to a multitude of career paths, ensuring graduates can adapt to the evolving job market.

Programme Structure

Courses include:

Machine Learning

Data Visualization

Big Data Analytics

Data Mining

Database Management Systems
Artificial Intelligence

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-08-28 00:00:00
- Apply before 2026-06-01 00:00:00
Starting 2027-01-25 00:00:00
- Apply before 2026-11-01 00:00:00

Language

English

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105

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TOEFL^® IBT

105

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Credits

30 SCH

Delivered

On Campus

Campus Location

New York City, United States

Disciplines

Data Science & Big Data View 461 other Masters in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

105

Take A Free Practice Test!

TOEFL^® IBT

105

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Other requirements

General requirements

A bachelor’s degree (or its equivalent) in computer science* from an accredited college or university, as of the date of matriculation in the program
At least one course in each of the three areas: linear algebra, probability and statistics, and algorithms
Fluency in programming at least one of Python, Java, or C++
Two letters of recommendation

A statement of purpose explaining the student’s career objectives, interests, and academic and professional background that are relevant to the degree program
Sample works (e.g., projects, programming code repositories, websites, videos, creative works) that demonstrate professional experience related to the program (optional)

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

25650 USD / year

≈ 25650 USD / year
Out-of-State

25650 USD / year

≈ 25650 USD / year
Domestic

Applies to you

In-State

14100 USD / year

≈ 14100 USD / year

Additional Details

Local students: $5,545 / semester

Living costs

New York City

United States

1819 - 3968 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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