AI Majors, Minors & Certificates You Can Earn in 2026

Artificial intelligence education has expanded far beyond a single degree path. Today, students can study AI through majors, minors, certificates, and short-term programs, each designed for different goals, timelines, and technical backgrounds. Understanding how these options differ is key to choosing a program that actually fits where you want to go.

Currently, AI programs are available to a wider range of learners than ever before, from traditional college students to working professionals and career changers. Some pathways emphasize deep technical development, while others focus on applied skills, ethical use, or industry-specific applications of artificial intelligence.

What Counts as an “AI Program” Today?

An AI program does not always include the words “artificial intelligence” in the degree title. Many colleges offer AI education through related fields such as computer science, data science, information technology, engineering, or analytics, with artificial intelligence embedded as a major focus or concentration.

In practice, an AI program is defined more by its coursework than its name. Programs that include machine learning, intelligent systems, data-driven modeling, or automation tools are often considered AI-focused, even if they fall under broader academic departments. As AI continues to evolve, colleges are increasingly integrating AI content across multiple disciplines rather than isolating it in a single standalone degree.

AI Majors You Can Earn

AI majors are the most comprehensive way to study artificial intelligence. These programs are designed for students who want structured, in-depth education that builds technical foundations and prepares them for long-term careers involving AI systems and applications.

Bachelor’s Degrees With an AI Major

A bachelor’s degree with an AI major typically introduces students to artificial intelligence alongside core computing and analytical skills. These programs often balance theory and application, helping students understand both how AI works and how it is used in real-world settings.

Common bachelor’s-level AI majors and pathways include:

• bachelor’s in artificial intelligence
• computer science with an AI concentration
• data science with a focus on machine learning or AI
• software engineering with artificial intelligence emphasis

Coursework at this level usually covers programming fundamentals, data structures, introductory machine learning, and applied problem-solving. Bachelor’s AI majors are best for students who want a strong technical foundation and the flexibility to move into entry-level AI, software, or data-related roles, or to continue into graduate study.

Master’s Degrees With an AI Major

A master’s degree with an AI major is designed for advanced study and specialization. These programs typically assume prior experience in computer science, mathematics, or a related technical field and move quickly into complex AI concepts.

Graduate-level AI majors often include:

• master’s in artificial intelligence
• computer science with AI or machine learning specialization
• applied artificial intelligence or AI engineering
• AI-focused data science or analytics degrees

At the master’s level, coursework tends to focus on advanced machine learning techniques, intelligent systems design, and applied AI development. Some programs are research-oriented, while others are designed for professionals who want to apply AI in business, healthcare, engineering, or technology-driven industries. These degrees are often chosen by students seeking higher-level technical roles or leadership positions involving AI strategy and implementation.

AI Minors You Can Add to a Degree

AI minors provide a structured way to build artificial intelligence knowledge without committing to a full major. These programs are often designed to complement another field of study, allowing students to combine AI skills with domain-specific expertise.

Minors typically require fewer courses than majors and focus on applied understanding rather than deep theoretical development. For many students, an AI minor offers the right balance between technical exposure and academic flexibility.

Undergraduate AI Minors

Undergraduate AI minors are commonly offered through departments such as computer science, data science, or information systems. They usually introduce foundational AI concepts while building on the student’s primary major.

An undergraduate AI minor often includes coursework in:

• introduction to artificial intelligence
• basic machine learning concepts
• data analysis or programming fundamentals
• applied AI tools or case studies

AI minors pair especially well with majors in business, healthcare, cybersecurity, education, psychology, or engineering. For students in non-technical fields, an AI minor can add valuable analytical and automation skills without the full workload of a technical major.

Graduate-Level AI Concentrations and Secondary Fields

At the graduate level, AI often appears as a concentration or secondary focus within a broader master’s program. Rather than earning a standalone AI degree, students may complete an AI track within fields such as computer science, data science, analytics, or information technology.

Graduate AI concentrations typically allow students to:

• focus elective coursework on artificial intelligence topics
• develop applied AI skills relevant to their primary field
• customize their degree without extending time to completion

This option works well for professionals who want AI expertise within a specific context, such as business analytics, cybersecurity, healthcare technology, or engineering. In many cases, an AI concentration provides sufficient specialization without the depth or admissions requirements of a dedicated AI major.

When an AI Minor Makes More Sense Than a Major

An AI minor or concentration may be the better choice if your primary career goals lie outside of technical AI development. For example, students pursuing roles in management, policy, education, or applied analytics may benefit more from integrating AI skills into an existing discipline rather than switching to a fully technical degree.

Minors can also be a strategic choice for students who want AI exposure while keeping graduation timelines flexible. Because they require fewer courses, minors are easier to add later in an academic program and can strengthen a resume without requiring a full degree change.

AI Certificates and Professional Credentials

AI certificates and credentials offer a more targeted way to build artificial intelligence skills without committing to a full degree program. These options vary widely in scope, academic rigor, and intended audience, making it important to understand how each type fits into a broader education or career plan.

Certificates are often used to supplement an existing degree, test interest in AI before committing further, or add specialized skills for career advancement. Unlike majors and minors, they tend to focus on narrower outcomes and shorter completion timelines.

Undergraduate AI Certificates

Undergraduate AI certificates are typically offered by colleges and universities as part of their academic programs. These certificates are usually credit-bearing and may be completed alongside a bachelor’s degree or as a standalone credential.

An undergraduate AI certificate often includes:

• introductory artificial intelligence concepts
  
• applied machine learning or automation tools
  
• basic programming or data analysis coursework
  

These certificates are well suited for students who want formal AI exposure without changing majors. Because they are academic credentials, undergraduate AI certificates may also count toward degree requirements or future study, depending on the institution.

Graduate AI Certificates

Graduate AI certificates are designed for students who already hold a bachelor’s degree and want advanced, focused training in artificial intelligence. Many are offered by the same departments that run master’s programs in AI, computer science, or data science.

Graduate AI certificates typically:

• focus on advanced or applied AI topics
• require fewer courses than a full master’s degree
• can sometimes be applied toward a master’s degree later

These programs are often used by working professionals who want to deepen AI expertise without immediately enrolling in a graduate degree. In some cases, certificates act as a “stackable” credential, allowing students to continue into a master’s program with credits already completed.

Professional and Industry AI Certificates

Professional AI certificates are typically non-degree programs offered by universities, training organizations, or industry partners. These credentials focus on practical, job-ready skills rather than academic theory.

Common examples include certificates in:

• applied artificial intelligence
• machine learning or generative AI
• AI for business, analytics, or automation

These programs are often shorter and more skills-focused than academic certificates. While they can be valuable for skill development, they generally do not carry the same academic weight as college-issued certificates or degrees and are best used as supplements rather than replacements for formal education.

Academic vs. Professional AI Certificates

The key difference between academic and professional AI certificates lies in recognition and transferability. Academic certificates are issued by colleges and universities and may count toward degrees or future graduate study. Professional certificates focus on skill acquisition and are typically evaluated by employers on a case-by-case basis.

Choosing between the two depends on your goals. Academic certificates are better suited for students planning continued education, while professional certificates may be appropriate for rapid skill updates or role-specific training.

Short-Term AI Programs and Micro-Credentials

Short-term AI programs are designed for learners who want focused exposure to artificial intelligence without enrolling in a traditional academic program. These options are typically faster to complete and more narrowly focused than degrees, minors, or certificates.

While short-term programs can be useful, they vary widely in depth and recognition. Understanding their scope and limitations is important when deciding how they fit into a longer-term AI education or career plan.

AI Bootcamps

AI bootcamps are intensive, short-term programs that focus on practical skills and applied learning. They are often structured around hands-on projects and real-world use cases rather than academic theory.

AI bootcamps typically address:

• applied machine learning or data workflows
• programming tools commonly used in AI development
• project-based learning and portfolio creation

Bootcamps can be appealing for career changers or professionals who want rapid exposure to AI tools. However, they usually do not replace a degree and are best viewed as a supplement to existing education or experience rather than a standalone credential.

Micro-Credentials and Digital Badges

Micro-credentials and digital badges represent smaller units of learning focused on specific AI skills or tools. These credentials are often offered online and may take weeks or even days to complete.

Common micro-credential topics include:

• generative AI tools
• prompt engineering
• AI-powered analytics platforms
• automation workflows

Micro-credentials are useful for staying current with evolving AI technologies, but they generally carry limited academic or credential weight. Employers may value them as evidence of initiative or skills exposure, but they are rarely a substitute for formal education in artificial intelligence.

When Short-Term Programs Make Sense

Short-term AI programs are most effective when used strategically. They can help professionals upskill in a specific area, explore AI before committing to a longer program, or supplement a degree with hands-on experience.

For learners seeking long-term roles in AI development, research, or leadership, short-term programs work best when paired with an academic credential such as a degree, minor, or certificate.

How Long Do AI Programs Take to Complete?

The time it takes to complete an AI program depends largely on the type of credential you choose. Degrees, minors, and certificates are structured very differently, and understanding typical timelines can help you set realistic expectations.

Bachelor’s degrees with an AI major usually take about four years for full-time students, though transfer credits or accelerated formats can shorten that timeline. Master’s degrees in artificial intelligence often take between one and two years, depending on whether the program is full time, part time, or accelerated.

AI minors typically require fewer courses and may be completed alongside a primary degree without extending graduation timelines. Certificates vary more widely, ranging from a few months for short academic certificates to up to a year for more advanced or graduate-level options. Short-term programs, such as bootcamps or micro-credentials, are often completed in weeks rather than months.

How Much Do AI Programs Typically Cost?

The cost of an AI program varies widely based on the type of credential, the institution offering it, and whether the program is delivered online or on campus. Understanding typical price ranges can help you compare options without assuming that higher cost always means better outcomes.

Bachelor’s degrees with an AI major often range from $20,000 to $60,000 total at public universities and online-focused institutions, with private colleges sometimes exceeding that range. Master’s degrees in artificial intelligence generally cost between $9,000 and $40,000, depending on whether the program is offered by a public university, uses a flat-rate or accelerated model, or includes specialized coursework.

AI minors usually add a smaller incremental cost to an existing degree, often between $3,000 and $10,000, depending on the number of required courses. Academic AI certificates typically range from $2,000 to $15,000, while professional or industry-focused certificates may cost anywhere from a few hundred dollars to $5,000. Short-term programs such as bootcamps often fall between $5,000 and $15,000, though pricing varies widely by format and intensity.

While cost is an important factor, it’s most useful when considered alongside program depth, credential recognition, and long-term career value. In many cases, students can reduce out-of-pocket expenses through financial aid, transfer credits, or by choosing programs designed for affordability and flexibility.

Career Paths by AI Program Type

Different types of AI programs support different career outcomes. While no credential guarantees a specific job, understanding how each pathway is commonly used can help you choose a program that aligns with your goals and experience level.

Careers With an AI Major

AI majors are typically pursued by students aiming for technical roles that involve designing, developing, or improving artificial intelligence systems. These programs provide the deepest training in programming, data analysis, and AI model development.

Common roles associated with an AI major include AI engineer, machine learning engineer, data scientist, and software developer. Graduates may also move into research-adjacent roles or continue into advanced graduate study in artificial intelligence or related fields.

Careers With an AI Minor

AI minors often support careers where artificial intelligence is applied within another discipline rather than serving as the primary focus. These programs help professionals understand how AI tools can be used to improve processes, decision-making, or analysis in their field. Career paths supported by an AI minor may include roles in business analytics, healthcare technology, cybersecurity operations, education technology, or policy-related positions where AI literacy is increasingly valuable.

Careers With AI Certificates

AI certificates are commonly used for targeted skill development or specialization. They may support roles that involve implementing AI tools, managing AI-driven workflows, or contributing to AI-related projects within an organization.

Examples include AI-enabled analyst roles, automation specialists, product managers working with AI systems, or professionals adding AI skills to an existing technical or analytical position. Certificates tend to be most effective when paired with prior education or experience.

Careers After Short-Term AI Programs

Short-term programs such as bootcamps or micro-credentials are typically used to build practical exposure rather than qualify someone for a standalone AI role. They can help professionals stay current with AI technologies or demonstrate familiarity with specific tools. These programs often support career advancement within an existing role or serve as a stepping stone toward further education, such as a certificate or degree in artificial intelligence.

How to Choose Between an AI Major, Minor, or Certificate

With so many artificial intelligence education options available, choosing the right path depends on how much depth you need and how quickly you want to get there. The sections below break the decision down by common priorities and situations.

Choose an AI Major If You Want Deep Technical Expertise

An AI major is the best option if your career goals involve designing, building, or leading artificial intelligence systems. These programs offer the most comprehensive training and are often required for advanced technical roles or graduate study. Majors make the most sense for students who are comfortable with programming, math, and analytical coursework and who want AI to be the core focus of their education.

Choose an AI Minor If You Want AI Skills Within Another Field

An AI minor works well if artificial intelligence supports, but does not define, your career path. This option allows you to pair AI knowledge with another discipline, such as business, healthcare, cybersecurity, education, or psychology. Minors provide structured exposure to AI concepts without the full commitment of a major and are often easier to add without extending time to graduation.

Choose an AI Certificate for Targeted Skill Development

Certificates are best suited for learners who want focused AI training in a shorter timeframe. They work well for professionals who already hold a degree and want to add AI-related skills or explore a specialization before committing to a longer program. While certificates can enhance a resume, they are most effective when paired with prior education or experience rather than used as a standalone credential.

FAQs About AI Majors, Minors, and Certificates

Choosing an AI education pathway can raise questions about value, flexibility, and long-term outcomes. The FAQs below address common concerns students have when comparing different AI credentials.

Is an AI Major Better Than an AI Certificate?

An artificial intelligence major provides deeper, more comprehensive training than a certificate and is often expected for technical or research-focused AI roles. These programs typically cover programming, data science, algorithms, and theory in much greater depth. Certificates, on the other hand, can be a practical option for targeted skill-building or career growth when a full degree is not required.

Can You Start With a Certificate and Move Into a Degree Later?

In many cases, starting with a certificate and moving into a degree later is possible. Some academic certificates are designed to stack into degree programs, allowing you to apply completed coursework toward a future bachelor’s or master’s degree. Policies vary by school, so it’s important to confirm transfer or stacking options before enrolling.

Do Employers Care Whether AI Skills Come From a Degree or Certificate?

Employers often look at the full picture, including education, experience, and demonstrated technical ability. Degrees tend to carry more weight for advanced or highly technical roles, especially those involving system design or research. Certificates may still be valuable for applied positions or for showing skill relevance within a specific job function.

Are AI Minors Worth It for Non-Technical Careers?

AI minors can be valuable for non-technical careers where artificial intelligence tools are increasingly part of daily workflows. They help you understand how AI supports decision-making, automation, and data-driven insights without requiring advanced programming knowledge. This background can be especially useful in fields like business, health care, marketing, and education.

Can You Change AI Pathways Later in Your Career?

Many learners begin with minors or certificates and later pursue full AI degrees as their interests or career goals shift. Colleges increasingly offer flexible pathways that support returning students and career changers. This flexibility makes it easier to build AI expertise gradually rather than committing to a full degree upfront.

Explore Artificial Intelligence Programs

Whether you’re considering a full AI major, a supporting minor, or a targeted certificate, understanding your options is the first step toward making a confident decision. To explore artificial intelligence programs, compare credentials, and learn more about online learning pathways, continue your research through Learn.org.