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Applied AI Co-Major
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ApplyPower Your Potential
Keep Your Major. Add AI.
AI is rewriting every industry, and every school is teaching it. What sets Suffolk apart is how you'll learn it: alongside the field you care deeply about.
Suffolk University's applied artificial intelligence co-major pairs with almost any undergraduate major, so you’ll never give up your passion to gain technical skills. You’ll amplify it. Study journalism and learn to investigate with AI. Study finance and learn to model with it. Study healthcare, law, marketing, or the arts, and graduate fluent in the tools transforming your profession.
What Is a Co-Major?
A co-major is a field of study that must be completed alongside a primary major, allowing students to apply specialized knowledge—such as AI—directly within their chosen discipline. More comprehensive than a minor but more focused than a double major, a co-major is thoughtfully integrated with a student's major through applied coursework, internships, and capstone experiences that connect classroom learning to real-world practice.
Be an AI Leader in Your Field
#1
AI and big data: fastest-growing skills⁺
#1
Boston: Top U.S. metro area for AI talent concentration⁺⁺
56%
increase in mentions of AI in U.S. job listings in 2025⁺⁺⁺
51%
of AI-skill job postings were outside IT & computer science⁺⁺⁺
Sources: + World Economic Forum 2025 | ++ Lightcast | +++ CBRE 2024
Become the Professional AI Can't Replace
AI can generate, calculate, and automate. What you bring is invaluable: judgment, leadership, empathy, creativity, and purpose. Combine the subject you love with AI, and graduate with a competitive advantage that’s uniquely yours—ready to shape the future, not just adapt to it.
You'll learn to:
- Put AI to work on the problems facing your field today
- Judge AI critically: its ethics, its limits, its effect on people
- Turn raw data into decisions you can defend
- Collaborate across disciplines the way modern teams do
- Speak both languages: your field's and AI's
Boston: Where AI Meets Impact
Located in the heart of downtown Boston, Suffolk puts you steps from the hospitals, start-ups, financial firms, courthouses, nonprofits, and government agencies where AI is already reshaping work.
Here, Boston is your classroom and your workshop. Through hands-on, interdisciplinary projects, you'll take on the kinds of problems these organizations are wrestling with right now—modeling the spread of environmental pollutants, finding patterns in public-health data, helping a legal team with a massive document review.
You'll graduate with more than ideas. You'll build real-world experience, a professional portfolio, and valuable industry connections.
Immersive Opportunities
When you study at Suffolk, in the heart of downtown Boston, you’ll have unmatched access to real-world experiences from day one.
Career Exploration
With deep ties to the city’s top industries, our Center for Career Equity, Development & Success connects Rams with professional opportunities.
Curriculum
An applied AI co-major lets you combine your passion with a powerful new skill set. Designed to be completed alongside your primary major coursework, the seven-course curriculum teaches you how to apply artificial intelligence as it relates to your chosen field, with hands-on experience prioritized.
Complete an AI Internship
Gain real-world experience through an internship or work-based learning opportunity where AI is central to your work.
Build a Shareable AI Portfolio
Graduate with a portfolio of practical AI projects that demonstrate your skills and showcase your impact to employers.
Complete an Interdisciplinary AI Capstone
Apply AI to your major by solving a real challenge in your field through a culminating interdisciplinary capstone project.
Required Core
Foundations of AI (3 or 4 credits)
An introduction to the fundamentals of artificial intelligence
AI Regulation & Policy (3 credits)
Emerging U.S. and European frameworks, risk, data ownership, and algorithmic decisions
AI Ethics & Society (4 credits)
Fairness, bias, and the legal, social, and environmental implications of AI
Applied AI Capstone (3 or 4 credits)
A discipline-specific, deployable AI solution and implementation plan
AI-Based Internship (3 credits)
Required internship in your chosen field in which at least 50% of the work uses AI
AI-Tagged Electives
Two AI-Applied Elective Courses (3-4 credits each)
Hands-on courses applying AI tools in your primary major or with an interdisciplinary focus