Overview

The M.S. in Data Science at St. John's University prepares students for a vibrant career in an ever-evolving field. This programme offers a robust curriculum that encompasses essential topics such as machine learning, big data analytics, and data visualisation, ensuring graduates are well-prepared to meet industry demands.

Why Data Science at St. John's University?

St. John's University is renowned for its commitment to academic excellence and innovative teaching methods. The Data Science programme benefits from strong industry connections, providing students with access to experienced professionals and real-world projects. The university's focus on practical learning and research ensures that students are equipped with the latest skills and knowledge in the field.

Tuition Fee Breakdown

The tuition fee for the Data Science programme is set at USD 1,470 per credit for both domestic and international students. With a total of 30 credits required for completion, prospective students should consider this financial commitment as they plan their educational journey. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the M.S. in Data Science is structured to provide a comprehensive understanding of the field, including core courses, electives, and a capstone project. The following modules form part of the programme:

Database Management Systems
Data Science Concepts and Methods
Machine Learning
Advanced Managerial Statistics
Predictive Analytics and Forecasting Models
Introduction to Programming for Analytics
Data Visualisation Programming
Natural Language Processing and Large Language Models
Distributed Big Data Analytics I & II
Advanced Database Management Systems
Deep Learning Models in Machine Learning & Generative AI
Applied Analytics Project

Careers with Data Science

Graduates of the Data Science programme at St. John's University are well-equipped to pursue various roles across multiple sectors. Alumni have found success in positions such as:

Data Scientist
Big Data Engineer
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Healthcare Data Analyst
Marketing Data Strategist

With a strong foundation in data science, graduates are positioned to thrive in industries such as finance, healthcare, and technology, contributing to innovative solutions and driving data-informed decisions.

Programme Structure

Courses include:

powerful statistical and computational techniques

large data sets

identify patterns
predictive models

Key information

Duration

Full-time
- 18 months

Start dates & application deadlines

Starting 2026-09-04 00:00:00
- Apply before 2026-05-01 00:00:00
Starting 2027-01-22 00:00:00
- Apply before 2026-11-01 00:00:00

Language

English

IELTS

6.5

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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

GPA

GRE^®

Required

English requirements

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

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

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Other requirements

General requirements

A baccalaureate degree from a regionally accredited college or university. Transcripts from each institution attended must be submitted even if a degree was not conferred.

A record of scholarly achievement at the undergraduate level. Applicants are expected to have a 3.0 (based on a 4.0 scale) cumulative undergraduate grade point average, and a 3.0 in their major field of study. An applicant whose grade point average is below 3.0 may submit an official copy of his/her GRE to support his or her application.

Two letters of recommendation from individuals who can comment on the applicant’s academic abilities and potential to succeed in an academically rigorous graduate program. At least one of these letters must be from an instructor who has taught and evaluated the applicant in an academic setting.

Completion of the following undergraduate mathematics course work: Calculus, Probability and Statistics

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

32800 USD / year

≈ 32800 USD / year
Out-of-State

32800 USD / year

≈ 32800 USD / year
Domestic

Applies to you

In-State

32800 USD / year

≈ 32800 USD / year

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.

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

Living costs

New York City

Financing

Funding

Scholarships Information

Available Scholarships

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