Key takeaways
- The top interdisciplinary AI majors in colleges are:
- AI and business majors
- AI and robotics program
- AI and data analytics majors
- AI and the humanities field
- The top schools offering interdisciplinary AI majors are:
- Princeton University
- Saint Leo University
- Stanford University
- Arizona State University
- Oregon State University
- Arizona State University Online
- Colorado State University Global
Interdisciplinary majors in college combine two or more individual majors to produce one personalized course of study. This is done in various ways, such as allowing students to choose majors, minors, electives, and additional certifications. However, a more formal and structured way that colleges use to offer interdisciplinary majors is through specific specialization tracks or concentration areas. So, this is the same for AI majors at the college level.
In this instance, colleges offer interdisciplinary AI majors by combining this one specific discipline with others like business, humanities, data analysis, and autonomous machinery/robotics. So, in this article, we take a look at the top 4 interdisciplinary AI majors at the college level that can help you create a future-proof and recession-proof career.
Overview of the top interdisciplinary AI majors
| Interdisciplinary majors | Focus areas |
| AI and business |
|
| AI and robotics |
|
| AI and data analytics |
|
| AI and the humanities |
|
Top 4 interdisciplinary AI majors
AI and business
With increasing advancements in AI, businesses are now incorporating several AI models and algorithms that help with business efficiency and profitability. So, in AI and business interdisciplinary college majors, the programs specifically integrate artificial intelligence technologies with core business disciplines such as management, finance, marketing, operations, and entrepreneurship.
As a result, the core focus in this interdisciplinary line of study is on utilizing and leveraging AI for several business aspects — rather than creating and developing new AI models. Moreover, in these thorough and modern interdisciplinary AI majors, the students learn to:
- Apply AI and machine learning models to business data
- Use predictive analytics for market trends and customer behavior
- Understand how AI supports automation, optimization, and strategy
- Evaluate ethical, legal, and economic implications of AI in organizations
In addition to this, some of the key skills you can develop with an AI major combined with a business discipline are:
- Data analysis
- Data management
- Decision making
- Forecasting and optimization
- Communication and collaboration
- AI governance and ethical considerations
Explore business college majors
AI and robotics
The most closely related two disciplines you may come across are artificial intelligence and robotics/autonomous machine systems. These two disciplines overlap in terms of subjects, focus areas, and core skills necessary. Therefore, AI and robotics interdisciplinary majors are very thorough, well-designed, and have excellent learning outcomes.
In addition to this, AI and robotics programs combine elements such as computer science, machine learning, engineering, and many more such subjects. This major emphasizes embodied AI, where intelligence is integrated into hardware systems. Furthermore, some of the most important learning outcomes of AI and robotics college majors are that students can:
- Design, develop, deploy, and manage new and advanced AI models
- Apply computer vision, sensor fusion, and control systems
- Program autonomous systems for navigation and manipulation
- Understand human–robot interaction and real-world deployment challenges
Furthermore, there are some important skills that you can find to be extremely useful across various stages of your career. These are:
- Programming and advanced coding
- Machine learning
- Natural language processing
- Problem-solving in physical and real-time environments
- Technical debugging and testing
However, while this is a well-integrated interdisciplinary major, it can be really challenging. This is because AI and robotics programs are richer with math, physics, and engineering than other AI interdisciplinary majors.
Explore colleges for a computer science degree
AI and data analytics
We humans have always been interested in finding and understanding new sets of data. The new and old data that we gather truly helps us understand so many different things on various fronts and aspects. However, as technology grows and new methods of data collection emerge, it is no doubt that the availability and accumulation of large volumes of data is becoming a challenge.
So, AI and data analytics are two individual disciplines — though equally complex and important — that contribute towards the analysis of large sets of data powered by the automation capabilities of AI.
So, AI and data analytics focus on extracting insights from large datasets using AI, machine learning, and statistical methods. The major sits at the intersection of computer science, statistics, and applied analytics, emphasizing data-driven intelligence.
In addition to this, there are some very notable learning outcomes of AI and data analytics college majors, including:
- Collection and cleaning of unstructured data
- Build, deploy, and manage machines and models for predictive analysis
- Apply AI techniques to real-world datasets
- Communicate insights through visualization and reporting
As compared to AI and robotics interdisciplinary college majors, AI and data analytics is more about understanding how to work with data with the help of AI. Therefore, this major is less focused on hardware development or management. Moreover, it prepares you really well for AI jobs in healthcare, finance, business management, and e-commerce.
Guide to data analytics college degrees and more
AI and the humanities
A very unusual combination that many students come across is the interdisciplinary majors in AI and humanities. While it does sound unusual or ill-fitting, the truth is that these two disciplines must intersect at some point. This is why so many colleges are now offering AI and humanities majors, with options such as:
- AI and ethical implications
- AI and cognitive sciences
- AI and creative communication
- AI and social, cultural, and political impacts
- AI and economics
AI and the Humanities blends artificial intelligence with fields such as philosophy, linguistics, history, ethics, literature, and cultural studies. The goal is to examine how AI shapes human culture, values, language, creativity, and society.
In addition to this, AI technology is also being integrated in many humanities fields, such as in archaeology for exploring historical structures and sites, or in psychology to generate structured yet automated patient-doctor notes. Clearly, AI has an increasing range of applications in this field. So, college programs offering humanities and AI majors tend to focus on areas such as:
- Evaluating responsible and human-centered AI
- Exploring how AI impacts workplaces, labor markets, and employer trends
- Understanding societal consequences of AI adoption at local and global levels
- Applying advanced AI tools and algorithms to humanities research
- AI processes and their impact of human languages
- AI regulation and public policy
- Legal responsibility and accountability in automated systems
Explore humanities and creative college majors and programs
Highly ranked colleges with interdisciplinary AI majors
To help you get started with your AI career journey, here is a list of top schools offering interdisciplinary AI majors at undergrad level:
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|
College |
Program |
Tuition cost |
| Princeton University | Bachelor of Arts (AB) or Bachelor of Science in Engineering (BSE) | $68,140 (source) |
| Saint Leo University | Bachelor’s Degree in Robotics and Artificial Intelligence | $35,000 per year for the 2026 to 2027 academic year (source) |
| Stanford University | B.S. in Symbolic Systems with an AI concentration | $22,577 per quarter (College COA) |
| Arizona State University | Bachelor of Science in Artificial Intelligence in Business | In-state: $13,534 Out-of-state: $37,072 (source) |
| Oregon State University | Applied AI in Business | $384/credit
(source) |
| Arizona State University Online | Online Bachelor of Science in Artificial Intelligence in Business | In-state: $13,118 per academic year (source) Out-of-state: $16,376 per academic year (source) |
| Colorado State University Global | Choose the AI specialization in following degrees:
|
$9,000 per year (source) |
Note: Data is as of March 2026.
Frequently asked questions
What is the best college major for AI?
To learn AI and start a career in this field, you need to have at least a college bachelor’s degree. So, the best majors for that include many options such as:
- Computer Science or Artificial Intelligence: Best for students who want to build AI systems, algorithms, and models.
- AI and Data Analytics: Ideal for applying AI to real-world data in business, healthcare, and finance.
- AI and Business: Best for students interested in management, strategy, and decision-making using AI tools.
So, for technical careers where development of AI models is your passion or interest, then a CS or specialized AI program is the best choice. For business-focused tracks, an AI and Business interdisciplinary major is the right choice. Alternatively, you can also choose creative fields blended in with AI.
Which type of AI is high in demand?
The most in-demand areas of AI today include:
- Machine Learning (ML)
- Data Analytics
- Natural Language Processing (NLP)
- Computer Vision
- Responsible and Ethical AI
Keep in mind that demand is the strongest for AI professionals who can apply AI in real-world contexts, not just develop algorithms.
Do you need coding skills for an AI and humanities major?
For students enrolled in or studying AI and humanities majors, coding skills are not mandatory. This means that you are not required to learn or work with complex coding projects and tasks. Moreover, most of the job roles or career paths with AI majors with humanities focus do not require coding, and mainly focus on aspects like ethics and impacts rather than AI model development. However, having basic knowledge and understanding of how coding works in AI can be useful, especially if you wish to keep your career options open and flexible.