Students at Stevens Campus

Online Master’s in Data Science (MSDS)

Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.

MSDS Overview

The MS in Data Science online program at the Stevens Institute of Technology prepares students for careers in fintech, business intelligence and analytics, academia, and database management, as well as government positions requiring strong skills in data analysis.


Stevens Institute Graph Icon

In-Demand Career Prep

Stevens Instite of Technology - Leader Icon

Learn from Recognized Leaders

Stevens Institute Notebook icon

100% Online

A young man writing on a piece of paper

U.S. Bureau of Labor Statistics reports that the demand for data science skills will drive a 27.9% rise in employment in the field through 2026

At Stevens, we put our strengths behind your career.

Career Opportunities

  • Data Scientist
  • Data Analyst
  • Statistician
  • Network Engineer
  • AI Research Scientist
  • Data Analytics Specialist
A young man shaking hands with someone out of the image.

The Stevens Career Center is dedicated to helping students succeed in obtaining employment or continuing their education as appropriate to their career objectives and personal goals.

Top Hiring Organizations

  • Amazon
  • Bank of America
  • New York University
  • Cityblock Health
  • Disney Streaming Services
  • Two Sigma Investments


Below are Traditional and Advanced course sequences for the MS in Data Science program. Students will engage in coursework on the following topics to develop skills as data scientists who can glean insights and aid in informed decision-making.

Traditional Coursework

Term 1

Term 2

Term 3

Term 4

Term 5

* Student chooses (1) of the (3) for their 10th course.

Advanced Coursework

Term 1

Term 2

Term 3

Term 4

Term 5


  • Bachelor’s degree

    Minimum GPA of 3.0 from an accredited institution. Degree required to begin program; completion not required at time of application.

  • College Transcripts

    You may submit unofficial transcripts during the application process. After admission, you will be required to submit official transcripts.

  • Two letters of recommendation

    Faculty members and/or professional colleagues.

  • TOEFL/IELTS Scores

    Required for international students.

  • Statement of Purpose

    Optional, but strongly recommended.

  • Resume

    Optional, but strongly recommended.


Due to the impacts of the coronavirus (COVID-19) on testing centers in China and elsewhere, Stevens has made the following accommodations available to all students for the fall 2020 admissions cycle:

  • IELTS/TOEFL: Affected applicants may submit Duolingo English Test (DET) results in lieu of TOFEL/IELTS exam results.

Tuition & Cost

Application fee waivers are available for the following applicants: corporate partners, alumni, Stevens’ employees, current Stevens’ students, and veterans.


Per Credit (30 Credits)


Application Fee - Speak to an enrollment advisor about available fee waivers


Enrollment Deposit

Financial Aid

Key Dates &

Now enrolling for May 2021.

Apply now

February 16, 2021

Early Submit

Application fee waiver

March 22, 2021

Priority Submit

Application fee waiver

April 19, 2021

Final Submit

Final application deadline

May 20, 2021

Classes Start

Summer 2021 Cohort

Upcoming Webinars

Online MSCS and MSDS Program and Application Forum

February 10th 7:00pm ET

Register Now

Online MSCS and MSDS Program and Application Forum

March 10th 7:00pm ET

Register Now

Online MSCS and MSDS Program and Application Forum

April 14th 7:00pm ET

Register Now


Stevens' math department boasts one of the top algorithmic and geometric group theory teams in the world, with distinguished experts in stochastic optimization and cryptography.

Darinka Dentcheva

Darinka Dentcheva

Professor and Chair of the Department of Mathematical Sciences

Darinka Dentcheva is the Professor and Chair of the Department of Mathematical Sciences as well as an acclaimed researcher in stochastic optimization and control using mathematical models of risk and their applications.

Michael Zabarankin

Michael Zabarankin

Associate Professor

Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles.

Rizos Sklinos

Rizos Sklinos


Rizos Sklinos is a visiting associate professor who’s research includes; geometric group theory, model theory, and data science (statistical learning theory).

Shusen Wang

Shusen Wang

Assistant Professor

Shusen Wang researches statistical machine learning, numerical optimization, randomized algorithms, and parallel computing.