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Master AI & Machine Learning Engineering.Build What's Next.

Train LLMs, deploy production ML systems, and lead AI initiatives. Engineering-first curriculum for the AI age.

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Quick Facts

Upcoming Start

FALL B 2026: October 27

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Full program details

Explore the complete Master of Engineering in Applied Data Science

View the full program

WHY CHOOSE STEVENS

CAREER-ALIGNED CURRICULUM

Investing in your future with a graduate degree from Stevens is a smart choice. You will gain access to the same quality programs and distinguished faculty as on-campus graduate students while having the flexibility to study from anywhere in the world. From our nationally recognized stature, to studying with experienced faculty, to connecting with over 50,000 global alumni, we offer unique advantages to support your graduate study.

Our faculty produce groundbreaking research that enables better planning and policy, improves healthcare and treatment, builds our understanding of critical questions, shares useful insight, and makes life safer, more secure and more comfortable. The researchers, practitioners and entrepreneurs that comprise the Stevens Institute of Technology faculty bring innovation and insight to students across disciplines and around the world.

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Program Overview illustration

Program Overview

The AI revolution is here. Organizations need engineers who can build, deploy, and scale intelligent systems—from training large language models to operationalizing machine learning pipelines. The M.Eng. in Applied Data Science prepares you to lead AI initiatives across industries.

Through an engineering-first curriculum, you'll master the full AI lifecycle: data engineering, ML model development, LLM fine-tuning, MLOps, and production deployment. Work with cutting-edge frameworks like PyTorch, TensorFlow, Hugging Face, and cloud AI platforms. Learn to build AI systems that are not just powerful, but responsible—with ethics, explainability, and governance integrated throughout.
  • Build production-ready AI and ML systems from scratch
  • Master LLMs, deep learning, and modern AI architectures
  • Learn MLOps: CI/CD for machine learning, model monitoring, and deployment
  • Hands-on projects with real datasets and AI tools used at Google, Meta, and leading tech companies
  • Flexible, on-demand online format with academic pacing, designed for working AI professionals

Excellence in Online Education

StevensOnline is a seven-time winner of the 21st Century Award for Best Practices in Distance Learning by the United States Distance Learning Association.

Engineering-First Approach

Learn distributed systems, cloud platforms, data pipelines, and MLOps from faculty with real-world engineering experience.

Industry Partnerships

Benefit from Stevens' strong connections with leading tech companies and access to cutting-edge tools and platforms.

Not Required

GMAT/GRE

$24,000

Total Cost

30

Credits

10

Courses

100%

Online

100% ONLINE

A FLEXIBLE FORMAT BUILT FOR WORKING PROFESSIONALS

Earn your M.Eng. in Applied Data Science fully online with a structured rhythm that fits your career and life. You will move through the program with clear milestones, faculty support, and resources designed to keep you on track.

You get Stevens rigor with the flexibility working professionals need, without sacrificing the structure or support that defines a Stevens education.

FLEXIBLE ACCESS TO COURSE MATERIALS, SESSIONS, AND SUPPORT

WEEKLY MILESTONES THAT KEEP YOU ACCOUNTABLE AND ON TRACK

ACCESS TO FACULTY OFFICE HOURS, AI-POWERED ASSISTANCE AND PEER DISCUSSIONS

DESIGNED FOR WORKING PROFESSIONALS SEEKING FLEXIBILITY AND MOMENTUM

APPLY IN UNDER 5 MINUTES WITH OUR STREAMLINED ACCELERATED APP - NO SUPPLEMENTAL DOCUMENTS REQUIRED (BACHELOR'S DEGREE REQUIRED)

JUST LAUNCHED

ACCELERATED APPLICATION

Our new Accelerated App is designed for busy professionals who want to fast-track their application. Get started immediately with simplified requirements:

  • No recommendation letters required
  • Upload unofficial transcripts – official transcripts due within 2 months
  • Share your professional background – upload your résumé or link your LinkedIn profile

Apply in under 5 minutes and take the first step toward advancing your career in applied data science.

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Key Dates & Deadlines

FALL B 2026

Early Submit

September 21, 2026

Apply early and plan ahead for the upcoming term.

Priority Submit

October 5, 2026

Recommended deadline for best course selection.

Final Submit

October 19, 2026

Last day to submit your application.

Start of Classes

October 27, 2026

Ready to Take the Next Step?

Schedule a call with our admissions team to discuss your goals and learn about the upcoming cohort of the M.Eng. in Applied Data Science program.

Schedule a Call