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Increase Your Earning Potential with an Online Master’s in Data Science

Why Earn a Master’s in Data Science Online?

The world runs on data, and the leaders who understand its tools and techniques will win the race to the top. New York Tech’s Online Data Science, M.S. is a 30-credit graduate program designed for working professionals. Delivered 100% online with no GRE requirement, the program can be completed in as few as 10 months. Students master machine learning, data visualization, Python, SQL, and statistical modeling through a curriculum developed in collaboration with the College of Engineering and Computing Sciences. With no on-campus requirement and three start dates per year, the online master's in data science from New York Tech offers the flexibility to advance your career without pausing it.

Push your expertise further in data science concepts and methods to reach the next level of your career. Armed with the latest skills and a degree from a top 25 university in the region, there’s no telling where you can go next.1

Program Details:

  • 30 credits
  • 100% online
  • Complete in as few as 10 months*
  • No GRE or tech prereqs required to start
  • 3 opportunities to start per year

*Completion time may be as short as 10 months if previous education satisfies the prerequisites. Talk to an admissions outreach advisor to see if you are eligible.

Drive Your Career Forward

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Put Yourself in Demand

Lead in one of the fastest-growing, well-paid positions today

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Make Your Learning Lucrative

New York data scientists earn an average base salary of $141,712 2

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Explore Your Options

Apply your skills in healthcare, finance, biotech, and more

Become AI-Ready in as Few as 10 Months

Get the skills employers are looking for—fast. New York Tech’s online M.S. in Data Science helps you build a strong foundation for AI and advanced analytics in as few as 10 months.

Fill out the form to access your program brochure and learn how the online experience works, what you’ll gain, and where this degree can take you.

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Data Science Skills, Careers, Trends, and More

The E-book from New York Tech


Looking to pivot into data science or advance your career in tech? Get ahead with our free, comprehensive e-book that explores careers, essential skills, and more.

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Essential Data Skills for Dynamic Careers

It’s no secret that modern business is defined by data. At New York Tech, you’ll learn both the cutting-edge and practice-oriented aspects of data science to tackle any situation. When you commit to furthering your education in data science and its related fields, you’ll become highly valuable in the job market for years to come.

Review the Curriculum ➔

M.S. Data Science Program Takeaways:

  • Computing theory
  • Advanced data science
  • Machine learning
  • Data visualization
  • Statistics
  • Programming languages (SQL, R, SAS, Python, etc.)

Course Spotlight

DTSC 710: Machine Learning

Learn important machine learning (ML) and data mining concepts and algorithms. Emphasis is on basic ideas and intuitions behind ML methods and their applications in activity recognition and anomaly detection.

DSTC 630: Data Visualisation

Learn about data visualization principles rooted in graphic design, psychology, and cognitive science, and how to use these principles in conjunction with state-of-the-art technology to create effective visualizations for any domain.

DTSC 740: Deep Learning

This course presents a range of topics from basic neural networks, convolutional and recurrent network structures, deep unsupervised and reinforcement learning, and applications to problem domains like speech recognition and computer vision.

CSCI 657: Introduction to Data Mining


This course introduces the concepts, techniques, and applications of data mining. Topics include data preprocessing, clustering, data warehouse, and more.

DTSC 701: Introduction to Big Data


This course provides an overview of big data applications ranging from data acquisition, storage, management, and transfer to analytics, with a focus on the state-of-the-art technologies, tools, and platforms that constitute big-data computing solutions.
Review Full M.S. Data Science Curriculum

Find Your Niche

At the end of the Online Master’s in Data Science program, you can choose to complete a thesis as part of your degree. Whichever subject matter you choose, the in-depth research and experience you complete will help you gain specialized skills and knowledge to better qualify you for research and development jobs. You also will have the chance to work on funded research projects with faculty members from sponsors such as the U.S. Department of Defense, National Science Foundation, and National Institutes of Health.

U.S. Department of Defense; National Science Foundation; National Institutes of Health

Online Master’s in Data Science Faculty

Faculty Spotlights

Huanying (Helen) Gu, Ph.D.
Huanying (Helen) Gu, Ph.D.
Professor & Associate Dean, Research & Practice
Jerry Cheng, Ph.D
Jerry Cheng, Ph.D
Assistant Professor
Frank Lee
Frank Lee
Professor & Department Chair

Meet the Rest of the Faculty ➔

Data Science Career Outcomes and Salary Insights

High Growth, Higher Rewards

#4
best technology jobs3
34%
job growth4
17%
higher salary with a master’s degree5

The demand for data science professionals has exploded in the past decade. As more businesses invest in digital transformation, they’re collecting “oceans of data” that they aren’t equipped to handle but are desperate to capitalize on.5 That means that job opportunities for data scientists and analysts will continue to multiply, both in terms of numbers and compensation.
Employment of data scientists is projected to grow 34% from 2024 to 2034, much faster than the average for all occupations.4 With a 2024 median salary of about $112,590, a booming job market, and impressively high job satisfaction, data scientist ranked the fourth best tech job in America in 2026.4,3 Review additional data science outcomes and salaries.

What can I do with an Online Master’s in Data Science?

$85,605
Data analyst6
$109,137
Database administrator7
$90,242
Business analyst8
$128,715
Cybersecurity engineer9
$144,847
IT director10
$124,299
SQL developer11
$187,854
Machine learning engineer12
$153,026
Solutions architect13
Sibel S

“With data, things that seemed impossible years ago can make life easier today in a very short time. With COVID-19, bipolar disorders, weather forecasts, and so many other uses, data science operations do the impossible.”

Sibel S.
Data Science, M.S. ‘22

Explore Student Experiences

Admissions At A Glance

Online Master’s in Data Science requirements—No GRE Needed:

  • A bachelor’s degree from an accredited institution, with a GPA of 2.85 or higher on a 4.0 scale*
  • Copies of undergraduate transcripts

*If you do not satisfy this criterion, you may still be admitted at the dean's discretion. Talk to an admissions outreach advisor to explore your options.

More Admissions Info
Apply now

Frequently Asked Questions

What is an Online Master’s in Data Science?
Build on your undergraduate studies in computer science, data analytics, machine learning, data visualization, and more with an online master’s degree. The Online Data Science, M.S. at New York Tech is a graduate-level degree for professionals who want to advance in data science and data analytics positions. The classes and coursework are offered entirely online and can be completed whenever, and wherever, works best for you. Every aspect of the online master’s program—the faculty, content, and learning outcomes—are exactly the same as our on-campus degree.

Download our Program Brochure for more information.

What’s the difference between data science and data analytics?
Like many terms in this industry, data science and data analytics are closely related and can overlap, but they do have distinct differences.

Data science is a broader field (that actually can encompass data analytics) which requires a knowledge of math, advanced statistics, predictive modeling, machine learning, and programming. It is multi-disciplinary and focuses on making connections, predicting outcomes, and uncovering new hypotheses within and between datasets. Those who earn a master’s in data science are poised to become successful as an applications architect, business intelligence developer, machine learning engineer, or statistician.

Data analytics, on the other hand, involves a closer, usually historical view of data to derive insights and inform business decisions. If you want to earn a master’s degree in data analytics, you should have a strong background in statistics, databases, and modeling. With these skills, you’ll excel as a senior data analyst, database administrator, or consultant.

Is a Master’s in Data Science worth it?
In the field of data science, a master’s degree is often expected, if not required. Thus, to qualify for the promotions or new positions that you want, it’s an extremely beneficial addition to your resume, not just for the graduate-level distinction it holds, but also for the upper-level knowledge and skills that it will give you (and which employers will expect you to possess). Even better, studies show that data scientists with a master’s degree earn an average of 17% more than those with just an undergraduate degree.5

With this designation, as well as the valuable New York network and career resources that New York Tech provides, you’ll find that the Online Data Science, M.S. is well worth your time. As one of the top 25 universities in the region, we pride ourselves on putting our students and their needs first.1

How long does it take to complete the Online Master’s in Data Science?
The program can be completed in 10 months minimum, but students typically complete it in 18-24 months, part-time. Students benefit from three start dates and self-paced flexibility.

Do I need a GRE to apply to New York Tech’s Online Data Science, M.S. program?
No GRE is required to apply. No tech prerequisites are required to start. You must have a minimum undergraduate GPA of 2.85.

What jobs can I get with a Master’s in Data Science?
Jobs including machine learning engineer, data scientist, database administrator, and business analyst are popular positions for data science graduates. Read more about data science careers.

How much does the Online Data Science Master’s at New York Tech cost?
You can review up-to-date tuition costs on the Tuition & Financial Aid page. There, you will find information about types of aid.

Admissions Deadlines

Jun
26
Priority Deadline
June 26
Fall 2026
Aug
18
Final Deadline
August 18
Fall 2026
Sep
4
Start Date
September 4
Fall 2026

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Explore career options and average salaries in data science.

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Sources:
  1. Retrieved on May 21, 2026, from usnews.com/best-colleges/rankings/regional-universities-north?_sort=rank&_sortDirection=asc
  2. Retrieved on May 21, 2026, from builtinnyc.com/salaries/data-analytics/data-scientist/new-york
  3. Retrieved on May 21, 2026, from careers.usnews.com/best-jobs/data-scientist
  4. Retrieved on May 21, 2026, from bls.gov/ooh/math/data-scientists.htm
  5. Retrieved on March 4, 2024, from fortune.com/education/business/articles/2022/01/19/how-much-do-grads-with-a-data-science-degree-make/
  6. Retrieved on May 21, 2026, from indeed.com/career/data-analyst/salaries
  7. Retrieved on May 21, 2026, from indeed.com/career/database-administrator/salaries
  8. Retrieved on May 21, 2026, from indeed.com/career/business-analyst/salaries
  9. Retrieved on May 21, 2026, from indeed.com/career/cybersecurity-engineer/salaries?from=top_sb
  10. Retrieved on May 21, 2026, from indeed.com/career/director-of-information-technology/salaries?from=top_sb
  11. Retrieved on May 21, 2026, from indeed.com/career/sql-developer/salaries?from=top_sb
  12. Retrieved on May 21, 2026, from indeed.com/career/machine-learning-engineer/salaries
  13. Retrieved on May 21, 2026, from indeed.com/career/solution-architect/salaries?from=top_sb