Overview

The Data Science programme at The City University of New York provides students with the rigorous analytical and computational skills required to excel in the modern data-driven landscape. This curriculum focuses on the intersection of statistical methodology, machine learning, and computational science to solve complex real-world problems. Students engage with sophisticated theoretical frameworks while developing the practical expertise necessary for high-level technical roles.

By choosing this path, learners benefit from a curriculum that balances academic depth with professional relevance. The City University of New York ensures that graduates are prepared to navigate the evolving challenges of big data, predictive modelling, and algorithmic development.

Why Data Science at The City University of New York?

Studying at this institution provides access to a vibrant academic community dedicated to innovation and research excellence. The City University of New York is recognised for its commitment to public education and its role as a hub for intellectual growth in a global metropolitan setting. Students benefit from a diverse learning environment that encourages collaborative problem-solving and critical thinking.

The faculty brings extensive expertise to the classroom, ensuring that the teaching remains at the forefront of technological advancements. Facilities and resources are tailored to support intensive data analysis and computational research, providing a robust foundation for academic success. This environment allows students to build strong professional networks while mastering the tools of the trade.

Tuition Fee Breakdown

International fee: USD 855 per credit
National fee: USD 855 per credit
Local fee: USD 470 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to provide a logical progression from fundamental concepts to specialised applications. Modules may include:

Machine Learning
Statistical Analysis
Data Visualisation
Big Data Analytics
Computational Methods
Database Systems
Algorithmic Thinking
Data Ethics

Careers with Data Science

Graduates of this programme are well-equipped to pursue influential roles in a variety of sectors, including finance, healthcare, technology, and government. The rigorous training ensures that alumni are competitive candidates for positions such as data scientists, machine learning engineers, and quantitative analysts. Many find success in organisations that rely on data-driven decision-making to maintain a strategic advantage.

The skills acquired at The City University of New York allow professionals to bridge the gap between technical execution and strategic oversight. Industries worldwide continue to show a high demand for experts who can interpret complex information and provide evidence-based solutions. Graduates leave the programme ready to lead technical teams and drive innovation within their chosen fields.

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 2027-01-28 00:00:00
- Apply before 2026-11-01 00:00:00
Starting 2027-08-28 00:00:00
- Apply before 2027-04-15 00:00:00

Language

English

Duolingo English Test

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 470 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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