WPI’s Bachelor of Science in Data Science—the data science BS built on project-based learning—prepares you to turn raw data into real-world impact.
At a Glance
Bachelor’s + Master’s Program
BS/MS available: Earn both degrees in five years.
STEM-Designated Degree
Qualifies international students for extended U.S. work authorization through Optional Practical Training (OPT)
Proven Career Success
Average Starting Salary: $85,019*
Notable Employers: Google DeepMind, Microsoft, Meta Platforms Inc., Amazon Web Services, Datadog*
*WPI Class of 2025 First Destination Survey, Bachelor’s Degree Graduates
Application Deadlines
Early Decision/Early Action I: Nov. 1
Early Decision/Early Action II: Jan. 5
Regular Decision: Feb. 1
Explore This Degree
Customize Your Path
Your WPI degree is yours to shape. Specialize with a concentration to go deeper into the area driving your curiosity. Complement your major with a minor, or choose electives that interest you. Take your education even further with the accelerated BS/MS, which allows you to earn both your bachelor’s and master’s in as few as five years.
Potential Minors
Business | Mathematics | Entrepreneurship | Global Public Health
Undecided? No problem. Apply now and explore before committing to a specific path.
Student-to-Faculty Ratio
Student Clubs and Organizations
Of First-Year Students Return for Their Sophomore Year (2025)
Why Future Data Scientists Choose WPI
Our project-based data science degree prepares you for the data-driven challenges of tomorrow.
Through distinctive seven-week terms and intensive project work, you’ll:
Blend
computer science, math, statistics, and business into one interdisciplinary degree
Develop
machine learning, data mining, and predictive modeling skills on industry-level datasets
Complete
a year-long major project solving a live data problem for a real sponsor
BUILD
a professional portfolio of completed projects at one of our 50+ project centers worldwide
CUSTOMIZE
your expertise by choosing a mix of electives or a concentration to match your interests
Collaborate
with teams across disciplines to develop solutions for today’s complex challenges
Resources & Tech You’ll Tap Into
Research Opportunities
- Machine learning and deep learning
- Health data mining and digital health analytics
- Sustainable manufacturing and materials recycling
- Generative AI and large language models
- Data privacy and ethical AI
- Human-robot interaction and sensor data
Project-Based Learning Experiences
Apply data science theory and practice from day one. Build a professional portfolio with work that matters.
At WPI, learn in an immersive environment where classroom concepts transform into hands-on projects, thanks to our intensive, seven-week terms. Complete increasingly advanced projects for industry partners and community organizations, both local and global. Present your solutions directly to organizations that will implement what you create.
Below, explore projects completed by data science students at WPI.
📍Cuenca, Ecuador
Enhancing Attraction and Engagement of el Museo de las Conceptas through Digitalization — Teams developed a data-driven digital strategy to grow visitor engagement at a historic Ecuadorian museum.
📍Westborough, Mass.
Westborough High School Mental Health Predictive Analyses — Project teams built predictive models from student survey data to identify early mental health risk factors for a public school district.
📍Chelsea, Mass.
Mapping Environmental Injustice in Chelsea, MA — Project teams analyzed environmental hazard data to map pollution disparities across neighborhoods for the city’s housing and community development department.
📍Worcester, Mass.
Audio Journal — Empowering Visually Impaired People to Access Exhibits at the Worcester Museum of Art — Students created an AI-powered audio guide enabling visually impaired visitors to independently explore museum collections.
📍Boston, Mass.
Assessing and Developing Recommendations to Improve the Massachusetts Toxics Use Reduction Act (TURA) Program — Students evaluated program effectiveness using stakeholder data analysis to deliver actionable policy recommendations for a state technical assistance office.
Skills You'll Gain
With WPI’s data science degree, you’ll learn how to turn data into a valuable decision-making tool—building predictive models, uncovering patterns, and engineering the intelligent systems that drive smarter decisions across every industry.
Explore opportunities to build skills such as:
Build machine learning models in Python using scikit-learn, TensorFlow, and PyTorch, which forecast trends, classify images, and predict customer behavior for real companies.
Apply deep learning techniques through hands-on projects to solve problems like fraud detection, medical diagnosis, and recommendation systems that millions of people use every day.
Run statistical inference and A/B testing using R and Python to measure what actually works—whether it’s a new product feature, a marketing campaign, or a medical treatment.
Design experiments and interpret results with confidence intervals and hypothesis testing so business leaders can make decisions backed by real evidence, not guesses.
Write SQL queries and build data pipelines that pull massive datasets from cloud platforms like AWS, clean them up, and prepare them for analysis at scale.
Develop feature engineering and data wrangling techniques through project-based work, transforming messy real-world data into the structured inputs that power accurate models.
Lead cross-functional project teams alongside engineers, business analysts, and domain experts to deliver data-driven solutions that real organizations put into production.
Communicate complex findings through clear visualizations in Tableau and Power BI, translating model results into stories that executives, clients, and nontechnical audiences can understand and act on.
→ Explore the full curriculum in the academic catalog.
Student Voice
“Project-based learning at WPI has been invaluable, especially within group work. I have learned how to exchange ideas and make compromises, even with challenging group dynamics. These skills are crucial for the industry.”
Best Career Placement
Best Colleges for Engineering in America
Worldwide out of 21,000+ Universities
Data Science Career & Salary Outlook
|
Career Path |
Industry Sector |
Entry Level (0–5 years) |
Mid-Level (5–10 years) |
Senior Level (10+ years) |
| Data Scientist | Technology and Data | Data Scientist $113K |
Senior Data Scientist $170K |
Chief Data Officer $226K |
| Machine Learning Engineer | Technology and Data | Machine Learning Engineer $127K |
Lead Machine Learning Engineer $190K |
Principal AI/ML Director $254K |
| Data Engineer | Technology and Data | Data Engineer $112K |
Senior Data Engineer $168K |
Director of Data Engineering $224K |
| Data Analyst | Technology and Data | Data Analyst $77K |
Senior Data Analyst $116K |
Director of Analytics $192K |
| Business Intelligence Analyst | Technology and Data | Business Intelligence Analyst $93K |
Senior BI Analyst $140K |
VP of Business Intelligence $210K |
| Quantitative Analyst | Finance and Investment | Quantitative Analyst $118K |
Senior Quantitative Analyst $177K |
Director of Quantitative Research $236K |
Salary data from the Bureau of Labor Statistics
Financing Your Future
College is a great investment in your future—and we’re here to help you plan for it. Explore WPI’s cost of attendance and learn how our Office of Financial Aid can guide you through options for funding your education.
Start Building Your Future Today
WPI’s simple formula helps students thrive: “Go to class. Do the work. Ask for help.” With our data science degree, you’ll gain the skills, experience, and connections to turn raw data into insights that drive real-world impact.