Overview

Why Data Science at New York Institute of Technology?

New York Institute of Technology (NYIT) ranks among the top universities for fostering diversity and inclusion. The Data Science, M.S. programme is specifically designed for individuals with a computer science or related background, aiming to delve into areas such as data analytics, machine learning, and data visualisation. The university offers a unique blend of practical and theoretical knowledge, ensuring that students are well-equipped to tackle the challenges of the data-driven world. The curriculum is structured to provide students with a robust understanding of data science methods and algorithms, alongside insights into the design and theory of high-level programming languages. NYIT's partnerships with various industries enhance the learning experience, allowing students to engage in real-world projects and research initiatives. Furthermore, the state-of-the-art facilities and specialised labs facilitate innovation and entrepreneurship, providing a conducive environment for students to develop practical solutions for businesses.

Tuition Fee Breakdown

The tuition fees for the Data Science, M.S. programme at NYIT are as follows:

International Students: USD 1,620 per credit
National Students: USD 1,620 per credit
Local Students: USD 1,620 per credit

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

Syllabus

The programme encompasses a comprehensive curriculum that includes:

Data Analytics
Machine Learning
Data Visualisation
Computing Theory
Algorithms
Statistical Models
Ethical Data Applications
Advanced Computer Architecture

Students will also have opportunities to engage in sponsored research projects, collaborating with faculty on initiatives funded by organisations such as the Department of Defense.

Careers with Data Science

Graduates of the Data Science, M.S. programme are well-prepared for a variety of roles in the data sector. Career options include:

Applications Architect
Advanced Data Analyst
Business Intelligence Developer
Data Developer & Engineer
Infrastructure Architect
Machine Learning Engineer
Statistician

The employment outlook for data scientists is promising, with a projected growth rate of 35% from 2022 to 2032. Graduates can expect to find opportunities in diverse industries, contributing to the growing demand for data expertise.

Programme Structure

Courses include:

Programming for Data Science
Optimization Methods for Data Science
Statistics for Data Science
Machine Learning
MS Thesis

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-09-03 00:00:00
- Apply before 2026-06-01 00:00:00
Starting 2027-01-20 00:00:00
- Apply before 2026-12-15 00:00:00

Language

English

Duolingo English Test

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IELTS

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Credits

30 SCH

Delivered

On Campus, Online

Campus Location

Manhattan, United States

Disciplines

Data Science & Big Data View 467 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

2.8

GRE^®

Required

English requirements

Duolingo English Test

105

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Applicants must possess a bachelor's degree from an accredited institution, with a GPA of 2.85 or higher on a 4.0 scale.
Applicants who do not qualify for full matriculation and have an undergraduate GPA between 2.5 and 2.84, may be conditionally admitted at the discretion of the program director.
As data science is an interdisciplinary field, we welcome applicants from diverse professional backgrounds. However, applicants should have the following prerequisites:
One computer programming course
One college-level statistics course
Basic linear algebra

Basic database systems

GRE scores

Completed application

$50 nonrefundable application fee
Copies of undergraduate transcripts for all schools attended. All final, official transcripts must be received prior to the start of your first semester.
Copy of college diploma or proof of degree

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

50400 USD / year

≈ 50400 USD / year
Out-of-State

50400 USD / year

≈ 50400 USD / year
Domestic

Applies to you

In-State

50400 USD / year

≈ 50400 USD / year

Additional Details

Online: $1,260 per credit

Living costs

Manhattan

United States

2638 - 5751 USD / month

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

Financing

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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.

On this page

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Living costs

Manhattan

Financing

Funding

Scholarships Information

Available Scholarships

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