100% Online
Complete your Stevens coursework at your own pace, 100% online.
Apply by
June
19
to start July 6, 2026
30
Credits
$800 per credit
MSCHE Accredited
Accredited by the Middle States Commission on Higher Education since 1927.
Build AI-Powered Systems
The AI revolution demands professionals who can build and deploy intelligent systems. The M.Eng. in Applied Data Science from Stevens prepares you to lead in the AI age—from training large language models (LLMs) to deploying production-ready machine learning systems.
Through a curriculum grounded in engineering rigor and real-world application, you'll master AI model design, LLM fine-tuning, MLOps, and scalable data architectures. Learn to build end-to-end AI solutions: from data pipelines and feature engineering to model deployment and monitoring in production environments.
This program bridges engineering precision with AI-driven innovation. You'll work with cutting-edge tools—PyTorch, TensorFlow, Hugging Face, cloud AI platforms—and learn to operationalize AI responsibly with ethics, explainability, and governance built in.
Quick Facts
Upcoming Start
Summer II 2026: July 6
Did you know? You can start with a pathway certificate.
Not ready to commit to the full degree?
The Applied Data Science Pathway Certificate lets you earn 9 graduate credits now and apply every one toward your degree when you're ready. 3 courses. $5,250 total. Priced to align with your employer's tuition benefit.
BY THE NUMBERS
No. 2
BEST NEW JERSEY SCHOOLS
Ranked No. 2 of "Best New Jersey Schools" by Best Value Schools.
7x
Winner
U.S. Distance Learning Association's 21st Century Award for Best Practices in Distance Learning.
No. 8
Online Master's in Data Science
University HQ: No. 8 in Online Master's in Data Science — Best of 2025.
#12
FOR BEST CAREER PLACEMENT
Ranked No. 12 on The Princeton Review's 'Top 20 Best Career Placement' list (2026).
What You Will Learn
Mathematics & Foundations
Students develop the core mathematical and statistical tools that underpin modern data science. The focus is on linear algebra, calculus, and optimization for modeling complex systems, as well as forecasting methods for time-dependent data.
Learning Outcomes
- Apply concepts from multivariable calculus and linear algebra-such as vector spaces, eigenvalues, and matrix decompositions-to model and analyze data
- Use optimization and numerical methods to solve applied data science problems
- Conduct time series analysis using ARMA, ARIMA, and related models to forecast trends and interpret temporal data
Programming & Systems
Learning Outcomes
- Program in Python, R, and SQL while leveraging technologies such as TensorFlow, Spark, and Tableau for analytics and visualization
- Design and manage data warehouses, architecture models, and ETL pipelines for business intelligence systems
- Implement scalable big data solutions using distributed computing and cloud-based platforms like Dataiku and Spark
Machine Learning & AI
Learning Outcomes
- Apply core machine learning methods such as regression, classification, clustering, and dimensionality reduction using Python libraries
- Design and train neural networks and deep learning architectures including CNNs, RNNs, and attention-based models
- Experiment with generative AI and augmented intelligence through prompt engineering and large language models
- Evaluate and manage AI systems ethically, addressing issues of fairness, transparency, and compliance in enterprise contexts
Data Visualization & Communication
Learning Outcomes
- Build visualizations and dashboards using Tableau, Power BI, Julius.ai, Python, and R
- Apply principles of perceptual design and ethical visualization to ensure clarity and integrity in data storytelling
- Communicate analytical findings effectively for both technical and business audiences
Applied Analytics & Business Intelligence
Learning Outcomes
- Conduct marketing and operational analytics to model customer behavior, optimize campaigns, and measure business performance
- Apply web and text mining techniques-including scraping, clustering, and recommender systems-to extract insights from large-scale data sources
- Implement data governance, security, and risk management practices to ensure trustworthy analytics across enterprise environments
Program Curriculum
The M.Eng. in Applied Data Science requires 30 credits across 10 courses, blending foundational theory with hands-on AI and machine learning applications. Progress through a structured curriculum—from mathematical foundations and Python programming to advanced deep learning and a capstone project—building production-ready skills at every stage. You'll master essential tools including PyTorch, TensorFlow, and cloud AI platforms while learning to design, train, and deploy machine learning models in real-world environments. The program emphasizes practical application through project-based coursework, preparing you to tackle complex data challenges across industries from healthcare and finance to technology and beyond.
Discover Your Future at Stevens
Master data science and AI skills without putting your career on hold
Our 100% online, part-time format empowers professionals to build expertise in applied data science and artificial intelligence while maintaining their current role. Learn from expert faculty who bridge cutting-edge research with real-world applications, and connect with a network of accomplished peers and alumni driving innovation across industries.
Career Outcomes
Build and deploy AI-powered systems that transform industries and drive innovation.
Qualify for high-demand roles like Machine Learning Engineer, Data Architect, and AI Engineer.
Master end-to-end AI development from LLM fine-tuning to production deployment.
Command strong salaries - computer and information research scientists earn a median of $140,910 (BLS, May 2024).
Enter a field with explosive growth as AI adoption accelerates across all industries.
Where our graduates work
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MEDIAN SALARIESFOR APPLIED DATA SCIENCE CAREERS
Career Outcomes
Applied data science and AI engineering are among the fastest-growing, highest-paying fields - data scientist roles alone are projected to grow 34% through 2034, much faster than average.
Role Title
Median Annual Earnings
Database Architect
$135,980
Software Developer
$133,080
Data Scientist
$112,590
Operations Research Analyst
$91,290
FACULTY
Learn from expert faculty who bring cutting-edge research and industry experience to every course.
Khasha Dehnad
Adjunct Lecturer
David Landaeta
Adjunct Lecturer
Samuel Kim
Teaching Professor and Associate Chair for Undergraduate Studies in the Department of Computer Science
Alkis Vazacopoulos
Teaching Professor
Upendra Prasad
Senior Lecturer
Khasha Dehnad
Adjunct Lecturer
David Landaeta
Adjunct Lecturer
Samuel Kim
Teaching Professor and Associate Chair for Undergraduate Studies in the Department of Computer Science
Alkis Vazacopoulos
Teaching Professor
Application
We've streamlined the path to your graduate degree. Our Accelerated Application is designed for busy professionals - skip the traditional hurdles and start your Stevens journey in minutes.
At most schools
Traditional Graduate Application
- 2-3 letters of recommendation
- Statement of purpose / personal essay
- GRE or GMAT scores
- Official transcripts
- Résumé or CV
- Weeks-long review process
At Stevens
Accelerated Application
- No recommendation letters required
- No essays or personal statements
- No GRE or GMAT required
- Upload unofficial transcripts
- Upload your resume or LinkedIn profile URL
- Apply in minutes, not hours
Official transcripts will be due within 2 months of enrollment. A bachelor's degree is required. Stevens may request additional documentation if needed.
PROOF OF BACHELOR'S DEGREE
Upload a copy of your unofficial transcripts from all undergraduate institutions where credit was earned. This allows us to verify your academic background quickly.
Official transcripts will be due within 2 months of enrollment. Stevens may request additional documentation if needed.
PROFESSIONAL BACKGROUND
Demonstrate your professional experience by providing one of the following:
- Upload your résumé – Highlight your work experience, leadership roles, and career achievements
- Link your LinkedIn profile – A convenient alternative that showcases your professional journey
Work experience is valued but not required for admission.
LETTERS OF RECOMMENDATION
The Accelerated Application streamlines your application process by removing the recommendation letter requirement, allowing you to apply faster without coordinating with references.
GMAT/GRE
Standardized test scores are not required for admission to the Online MEADS program.
Tuition & Financial Aid
$800
Per Credit
$24,000
Total Program Cost
Exceptional Value for a Top-Tier AI & Data Science Degree
At $800 per credit ($24,000 total for 30 credits), the M.Eng. in Applied Data Science represents outstanding value for a graduate engineering degree from a top-ranked institution.
Corporate Tuition Assistance
Many employers support job-relevant graduate study through the IRS $5,250 annual tax-free employer tuition benefit. If your company offers this benefit, it can significantly reduce your out-of-pocket cost over the life of the program.
Our team can help you understand how to combine employer benefits with other funding as you progress through the program.
Financial Aid and Additional Tuition Discounts
Financial Aid is available to fund your education. Alumni and corporate partner tuition discounts may be available to students who qualify.
Apply by the priority deadline (June 19, 2026) to maximize funding opportunities.
Tuition based on current per-credit rates. Tuition and fees are subject to change annually.
Tuition Calculator
Use our calculator to estimate your tuition with available discounts and employer reimbursement benefits. Keep in mind that most of our students receive some form of financial support, which can significantly reduce out-of-pocket costs.
See how much you could save based on your eligibility for workforce partner, alumni, and resident discounts.
Key Dates & Deadlines
SUMMER II 2026
Early Submit
June 5, 2026
Eligible for $250 deposit waiver upon admission.
Priority Submit
June 19, 2026
Recommended deadline for best course selection.
Final Submit
June 26, 2026
Last day to submit your application.
Start of Classes
July 6, 2026
Begin your AI & Data Science journey at Stevens.
*Applicants who apply by the early submit deadline and are admitted may be eligible for a $250 deposit waiver. Other conditions may apply.
On-Demand Content
At Stevens, we host a variety of events for prospective and current students covering topics such as application strategy, program information, the student experience and our online platform. Our on-demand content is instantly available, so you can watch at your convenience.
