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Hands-on AI Mastery
Our Applied AI program goes beyond theory to mastery in AI through hands-on application. Unlike traditional programs, we believe the best way to learn AI is by applying it to real-world challenges.
Application Domains
Our curriculum is designed to give you an unparalleled advantage by tightly integrating AI with a field you're passionate about. Depending on a student's interest they may develop AI-enabled forecasting and predictive models, vision models for defect detection, genomic analysis models or diagnostics, and other generative visualization tools.
You'll take seven courses in a specific domain, whether it's computing, business or construction management, or life sciences and learn how to leverage AI to solve complex problems within that discipline. This deep, combined approach ensures students graduate with both a strong foundation in AI and a comprehensive understanding of a key domain.
Application Domain Areas:
- Business Management: AI in Organizational Contexts
- Computing: Foundations for AI System Design
- Construction Management: AI in Construction
- Life Sciences: AI for Biological and Medical Systems
New domain areas will be explored in the coming semesters including Design and Technology.
Real-World Experience
What you learn in the classroom, you'll apply in the workplace. Our program emphasizes practical experience through a required co-op program with a minimum of two co-op terms. This isn't just a requirement; it's a core component of your education, providing you with invaluable professional experience and a chance to build a network before you even graduate.
Focus on Modern Tools
Stay ahead of the curve with a curriculum focused on the most relevant and powerful tools in today's AI landscape. We dive deep into cutting-edge topics like Generative AI, teaching you not just what these technologies are, but how to apply them to create innovative solutions in your chosen domain.
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Why Applied AI?
The job market is actively seeking a new generation of technical professionals who can evolve with AI. Wentworth's interdisciplinary, hands-on approach will prepare our graduates for high-demand, high-salary careers.
As of Fall 2025, there are less than 20 undergraduate programs across the United States in Artificial Intelligence. Join the program that lets you apply AI tools and concepts from your first day on-campus.
Growing Field
According to Lightcast, mentions of AI in US job listings have surged by 56% in 2025, building on the explosive growth of the field by 115% in 2023 and 120% in 2024.
These positions offer a high median salary of $144,000 and within a 200-mile radius of Wentworth there were 48,855 job postings for AI-related roles. preparing you for a high-demand, high-salary career.
Position titles experiencing a high volume of growth:
- AI Product Manager
- AI Engineer
- AI Business Analyst
- AI Strategy Analyst
- AI Solutions Architect
- Business Intelligence Analyst
- Computational Designer
- Computational Scientist
- Construction Technology Specialist
- Digital Humanities Analyst
- Prompt Engineer
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The Applied AI major has a flexible course load based on a student's individual goals. Below is an example of the curriculum that may be tailored by domain area.
Course Credits Information AI Core Courses* 36 Foundational courses in AI, computer science, data science, and ethics Application Domain Courses 28 Required courses providing depth in a chosen area Mathematics 16 Calculus and Linear Algebra for Computing & AI General Education 24 Core requirements in humanities, social sciences, and natural sciences Co-op 8 Two required co-op semesters Electives 12 Flexibility for students to follow interests Senior Design 4 Culminating interdisciplinary project *AI Core Courses
- Computer Science 1 or Object-Oriented Programming for Engineers
- Calculus for Computing and Artificial Intelligence
- Introduction to Applied AI
- Discrete Mathematics
- Linear Algebra for Computer and Artificial Intelligence
- AI Ethics
- Applications of AI
- Data Science Fundamentals
- Statistics & Applications or Probability Statistics for Engineers
- Responsible Uses of Generative AI
- Prompt Engineering
- Practical Deep Learning
- Applied LLMs
- Senior Project
Student Testimonials
Riley Barka, '27
"I chose Wentworth because of its strong focus on experiential learning and the opportunity to apply knowledge in real-world settings from the very beginning. The co-op program and project-based classes stood out to me as a way to gain valuable industry experience while still in school, which I knew would prepare me to hit the ground running in my career.
A standout project I have worked on was the MathWorks AI Studio Challenge, where my team and I built models to predict household energy consumption. The challenge centered on using a large time-series dataset with over 2 million measurements of power, voltage, current, and sub-metered energy use to forecast short-term consumption patterns."
What You’ll Learn
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Year 1
You’ll establish a foundation for your Applied AI program by taking Computer Science I or Object Oriented Programming for Engineering in addition to Applied AI, Calculus for Computing & Artificial Intelligence and Linear Algebra for Computing & Artificial Intelligence, and Discrete Mathematics. These courses will lay the groundwork for a comprehensive understanding of practical applied AI concepts.
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Year 2
Second-year applied AI students expand their knowledge with courses in AI Ethics, Applications of AI, Data Science Fundamentals, and Statistics & Applications or Probability & Statistics. You’ll bolster this knowledge with additional courses in your Domain areas and electives.
An optional pre co-op work term is available to students during the summer semester.
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Year 3
In the fall and summer semesters of your third year, you’ll start to focus on Responsible Uses of Generative AI and Prompt Engineering and will have the opportunity supplement your domain program courses with electives in your desired area of study.
In the spring, you’ll begin the first of two required co-ops.
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Year 4
In the fall, you’ll go on your second required co-op to gain more hands-on industry experience.
The remainder of your program allows you to round out your applied AI knowledge through domain courses, electives, and on your senior project in your final semester.