-
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.
-
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
-
At Wentworth, hands-on learning is mandatory, all undergraduates complete two required co-ops. See where our School of Computing & Data Science students are making an impact in the field of AI:
Employer Co-op Job Title ArtifexAI Full Stack Data Science Intern BeinBoston Front End Software Developer Keville Database Migration & Integration Specialist Modern AI Solutions SaaS Development Co-op NextComputing Cybersecurity & Purpose-Build Computing Intern Wentworth Institute of Technology AI for EMG & Silent/Soft Speech Interfaces Wentworth Institute of Technology AI & Learning Technologies Researcher -
The Bachelor of Science in Applied Artificial Intelligence at Wentworth Institute of Technology is an interdisciplinary, career-focused program designed to prepare graduates to apply AI ethically and effectively across diverse industries. BSAI integrates a technical core with application domain-specific pathways in Business Management, Computing, Construction Management, and Life Sciences, with future expansion into Design, Technology, and other growth fields.
View the Course Catalog below for information about program requirements.
For an overview of the year-by-year experience in the Bachelor of Science in Applied AI program, see "What You'll Learn" below.
Four-Year Program
Total Required Credits: 120
This is a four-year full-time program, which begins in the fall semester of the student's first year and is planned to end after the summer semester of the student's fourth year.
Plan of Study Grid First Year Fall Semester Credits COMP1000 COMPUTER SCIENCE I 4 AAAI1000 Introduction to Applied AI 4 MATH1825 CALCULUS FOR COMPUTING AND AI 4 English Sequence 4 Credits 16 Spring Semester MATH2825 LINEAR ALGEBRA FOR COMPUTING AND AI 4 MATH2300 DISCRETE MATHEMATICS 4 Domain Elective 1 4 English Sequence 4 Credits 16 Second Year Fall Semester COMP3000 APPLICATIONS OF AI 4 PHIL4525 A.I. ETHICS 4 HSS Elective* 4 Free Elective 4 Credits 16 Spring Semester COMP3125 DATA SCIENCE FUNDAMENTALS 4 Free Elective 4 Domain Elective 1 4 MATH1030 OR MATH2100 Depending on domain requirements 4 COOP2500 INTRODUCTION TO COOPERATIVE EDUCATION 0 Credits 16 Summer Semester COOP3000OPTIONAL COOP EDUCATION Credits 0 Third Year Fall Semester COMP3001 4 CSAS4000 RESPONSIBLE APPLICATIONS OF GENERATIVE ARTIFICIAL INTELLIGENCE 4 Domain Elective 1 4 Free Elective 4 Credits 16 Spring Semester COOP3500 COOP EDUCATION 1 0 Credits 0 Summer Semester DATA3333 PRACTICAL DEEP LEARNING 4 Domain Elective 1 4 HSS Elective* 4 Science Elective 4 Credits 16 Fourth Year Fall Semester COOP4500 COOP EDUCATION 2 (THIS MAY BE SWITCHED WITH ANOTHER SEMESTER) 0 Credits 0 Spring Semester COMP4726 APPLIED LARGE LANGUAGE MODELS 4 HSS Elective* 4 Domain Elective 1 4 Credits 12 Summer Semester AAAI5500 Senior Design 4 Domain Elective 1 4 Domain Elective 1 4 Credits 12 Total Credits 120 ENGL/HSS Note
Students are required to complete:
- At least one course in Humanities: CSAS, HSSI, HIST, HUMN, LITR and PHIL
- At least one course in the Social Sciences: CSAS, HSSI, COMM, ECON, ENVM, POLS, PSYC and SOCL
- The remaining course from either the Humanities or Social Sciences category.
Students with a three English course sequence may use the third English course to satisfy a Humanities requirement.
A minimum of 20 credits total, including English, humanities, and social science credit, is required to complete the humanities and social sciences graduation requirement.
At least one of the HSS electives must be an Ethics course.
Math Placement may alter the course schedule above.
Science Electives
Course List Course Title Credits BIOL1100 CELL & MOLECULAR BIOLOGY 4 BIOL1700 ANATOMY & PHYSIOLOGY I 4 BIOL2200 ADVANCED MOLECULAR BIOLOGY 4 BIOL3000 APPLICATIONS IN GENETICS 4 CHEM1100 GENERAL CHEMISTRY I 4 CHEM1600 GENERAL CHEMISTRY II 4 PHYS1250 ENGINEERING PHYSICS I 4 PHYS1750 ENGINEERING PHYSICS II 4 PHYS2000 INTRODUCTION TO ASTRONOMY 4 PHYS3100 MODERN PHYSICS 4 The following courses require School approval to satisfy the Science Elective requirement BIOL2990 INDEPENDENT STUDY IN BIOLOGY 4 BIOL3800 SPECIAL TOPICS IN BIOLOGY 4 CHEM2990 INDEPENDENT STUDY IN CHEMISTRY 4 CHEM3800 SPECIAL TOPICS IN CHEMISTRY 4 PHYS2990 INDEPENDENT STUDY IN PHYSICS 4 PHYS3800 SPECIAL TOPICS IN PHYSICS 4 Domain Electives
Students will choose one of several application domains to contextualize their AI education. These domains include both foundational and advanced coursework from a partner discipline, allowing students to apply AI techniques to domain-specific challenges.
A total of 28 semester credit hours of domain electives must be taken as part of the program. Eight of those credits must be STEM courses. Students declare their chosen domain by the end of their first term.
It currently offers the following domains:
- Business Management:
- Computing
- Construction Management
- Life Sciences
Their curriculum structure and course list are shown below.
Business Management Domain
Students complete a minimum of 28 credits:
-
MGMT1000–Introduction to Management (required).
-
At least 8 credits of STEM-designated courses from the following list, such as Decision Analysis, Systems Analysis, or Cybersecurity.
Course List Course Title Credits MGMT1025 COMPUTER BUSINESS APPLICATIONS 4 MGMT1500 DECISION ANALYSIS FOR BUSINESS 4 MGMT2525 SYSTEMS ANALYSIS, DESIGN, AND IMPLEMENTATION 4 MGMT2560 CYBERSECURITY LAW AND POLICY 3 MGMT2650 CYBERSECURITY PLANNING 3 MGMT2800 CYBERSECURITY MANAGEMENT 4 MGMT2000 MANAGEMENT INFORMATION SYSTEMS 4 MGMT2175 INTRODUCTION TO SUPPLY CHAINS 4 MGMT3250 MANAGERIAL ACCOUNTING 4 MGMT2550 APPLIED PROJECT MANAGEMENT 4 -
Remaining credits can come from either the list above or the list below.
Course List Course Title Credits MGMT2750 INTEGRATIVE FINANCIAL ACCOUNTING 4 MGMT2100 MANAGEMENT COMMUNICATIONS 4 MGMT2850 PRINCIPLES OF MARKETING 4 MGMT3650 BUSINESS LAW 4 MGMT3700 HUMAN RESOURCES & LABOR MANAGEMENT 3 MGMT3900 OPERATIONS MANAGEMENT 4 MGMT4400 BUSINESS NEGOTIATION PRINCIPLES 3 MGMT3225 GLOBAL BUSINESS 4 MGMT3070 TECHNOLOGY ACQUISITION PROJECTS 4 MGMT3160 PROJECT RISK 4 MGMT3550 ENTREPRENEURIAL FINANCE 4 MGMT3575 ENTREPRENEURIAL MINDSET 4 MGMT4225 ENTREPRENEURIAL LEADERSHIP 4 MGMT3080 MARKETING FOR ENTREPRENEURS 4 MGMT2150 CORPORATE FINANCE 4 MGMT2350 FINANCIAL INSTITUTIONS AND MARKETS 4 MGMT4200 INVESTMENTS 4 MGMT3150 INTRODUCTION TO ENTERPRISE RESOURCE PLANNING 4 MGMT3165 INTRODUCTION TO LEAN SIX SIGMA 4 MGMT4275 SUPPLY CHAIN LOGISTICS AND PLANNING 4 Elective choices enable students to focus on areas such as data-informed decision-making, enterprise systems, finance, operations, supply chain management, or marketing. Technical fluency is developed through the Applied AI core, enabling students to apply AI tools within business contexts.
Computing Domain
The Computing domain provides students with strong foundations in computer science and modern AI techniques. The curriculum emphasizes data structures, algorithms, probability theory, and both classical and contemporary machine learning methods.
While students may fulfill their statistics requirement through either MATH 1030 or MATH 2100 in the shared core, those pursuing the Computing domain are expected to take MATH 2100 to ensure adequate preparation in probability and statistics. Students complete 28 credits of computing-related coursework, including:
Course List Course Title Credits COMP1050 COMPUTER SCIENCE II 4 COMP2000 DATA STRUCTURES 4 COMP2350 ALGORITHMS 4 COMP4700 FOUNDATIONS OF CLASSICAL AI 4 or COMP5700 MATH4050 MACHINE LEARNING 4 COMP/DATA/MATH Elective 4 COMP/DATA/MATH Elective 4 This sequence integrates theoretical foundations with practical experience in designing, implementing, and evaluating AI systems. Students gain the computational thinking and analytical skills necessary to build reliable and scalable AI solutions.
Construction Management Domain
Students in the Construction Management domain complete the following courses alongside the Applied AI core. These courses provide a foundation in building construction, BIM (Building Information Modeling), plan reading, estimating, project management, and project scheduling. The curriculum emphasizes the full construction lifecycle, from design to delivery, while integrating emerging AI-driven tools such as computer vision for site monitoring, large language models for document analysis, and IoT sensors for safety and efficiency.
A minimum of 28 credits must be completed in this domain, including two Construction Management electives. Electives may be chosen from any CONM course offerings.
Course List Course Title Credits CONM1200 BUILDING CONSTRUCTION 4 CONM1525 INTRODUCTION TO BUILDING INFORMATION MODELING (BIM) 2 CONM1550 INTRODUCTION TO PLAN READING & SPECIFICATIONS 2 CONM2200 ESTIMATING 4 CONM3100 CONSTRUCTION PROJECT MANAGEMENT 4 CONM3201 CONSTRUCTION PROJECT SCHEDULING (CONM Elective) 4 CONM4825 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION 4 CONM Elective 4 Life Sciences Domain
The Life Sciences domain prepares students to apply artificial intelligence and data science methods to problems in biology, biotechnology, and medicine. Students gain foundational knowledge in cellular and molecular biology, chemistry, and genetics, while developing computational skills for analyzing biological data and simulating complex systems.
Students complete the 32 credits of STEM-designated courses listed below and need not take another Science course, and can count that requirement as fulfilled.
Course List Course Title Credits BIOL1100 CELL & MOLECULAR BIOLOGY 4 BIOL2200 ADVANCED MOLECULAR BIOLOGY 4 CHEM1100 GENERAL CHEMISTRY I 4 CHEM1600 GENERAL CHEMISTRY II 4 CHEM2000 BASICS OF ORGANIC & BIOCHEMISTRY 4 BIOE2100 BIOSTATISTICS FOR BIOENGINEERS 4 BIOE3500 GENETICS AND TRANSGENICS 4 BIOE4400 SYNTHETIC BIOLOGY 4
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
-
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.
-
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.
-
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.
-
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.