Different Types of Artificial Intelligence Degrees and Their Salaries in 2026

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Demand for skilled professionals in artificial intelligence continues to surge as industries increasingly rely on AI technologies to drive innovation and efficiency. According to the U.S. Bureau of Labor Statistics, employment in AI-related fields is projected to grow significantly faster than the average for all occupations over the next decade, reflecting expanding opportunities and competitive salaries. Navigating the educational landscape to select the right artificial intelligence degree is crucial for maximizing career potential.

This article provides a comprehensive overview of the various types of artificial intelligence degrees available and offers insight into the salary expectations graduates can anticipate, helping prospective students make informed decisions about their academic and professional futures.

Key Points About Different Types of Artificial Intelligence Degrees and Their Salaries

Individuals with a bachelor's degree in artificial intelligence typically earn an average salary of around $95,000 per year in the U.S., positioning them for entry to mid-level roles that can quickly grow with experience and specialization.
Master's degree holders in artificial intelligence often command salaries exceeding $120,000 annually as they qualify for advanced roles like AI researchers or machine learning engineers, which require deeper technical expertise and offer higher long-term career growth.
Associate degrees in artificial intelligence generally lead to support or technician roles with salaries averaging $55,000 to $70,000, providing a faster, cost-effective pathway to the workforce but with more limited upward mobility compared to bachelor's and master's degrees.

What Are the Different Types of Artificial Intelligence Degrees Available?

Understanding the different types and levels of artificial intelligence degrees is crucial for students before choosing a program because each degree aligns with distinct educational backgrounds and career goals. Each option offers specialized coursework and foundational knowledge that prepares students for various roles within the AI industry.

Below is an overview of the main types of artificial intelligence degrees and what makes each unique, helping you choose the right academic path that fits your interests and abilities.

Computer Science: This degree focuses on programming, algorithms, data structures, and computer systems, providing a strong foundation in core computing principles. Elective courses often include AI-related topics, granting students essential skills in software design and analysis.
Artificial Intelligence: An interdisciplinary program integrating computer science, mathematics, engineering, and human sciences. It typically covers machine learning, computational modeling, and ethics to equip students with a broad yet specialized AI knowledge base.
Machine Learning: This specialized degree emphasizes statistical modeling, data mining, and predictive analysis. It prepares students to design adaptive algorithms that enable machines to learn autonomously, which is highly valuable in data-driven industries.
Data Science: Focused on extracting actionable insights from data using statistical and computational tools, this degree blends AI and machine learning principles. Students learn to support effective data-backed decision-making and optimization processes.
Robotics, Engineering, and Autonomous Systems: Combining electrical, mechanical, and software engineering, these programs involve hands-on projects to build intelligent physical systems. Students develop expertise in integrating hardware and software for applications such as autonomous vehicles and manufacturing.
Computational Linguistics and Natural Language Processing (NLP): Centered on enabling AI to process and understand human language, this degree covers linguistics, language modeling, and computational techniques. It prepares students for work on voice assistants, web search, and e-learning technologies.

Students interested in which programs offer the best salaries and career potential should also explore what certificate programs pay well, as this information can guide decisions complementary to degree choices.

What Specializations Are Available in Artificial Intelligence Degrees?

Choosing a specialization is a critical factor when pursuing an artificial intelligence degree because it helps students tailor their education to specific industries and career paths. This alignment not only enhances expertise in targeted areas but also improves job prospects and earning potential in competitive AI fields.

Below are some common artificial intelligence specializations, each focusing on distinct skill sets and professional roles.

Artificial Intelligence: Machine Learning: This specialization focuses on developing algorithms that enable systems to learn from data and improve automatically. Key skills include statistical modeling, programming in languages like Python and R, and algorithm optimization. Graduates often become machine learning engineers, AI research scientists, or data scientists.
Artificial Intelligence: Deep Learning: Concentrating on neural network architectures, deep learning involves processing large datasets through multiple network layers. Students gain experience with frameworks such as TensorFlow and PyTorch. Career options include deep learning engineer and AI software developer roles.
Artificial Intelligence: Robotics: Emphasizing the design and programming of autonomous machines, this track covers sensors, control systems, and hardware-software integration. Graduates typically work as robotics engineers or automation specialists in manufacturing, healthcare, and other industries.
Artificial Intelligence: Computer Vision: This specialization teaches how to enable machines to interpret visual data like images and videos. Important skills include image processing and application development for areas such as autonomous vehicles and facial recognition. Careers include computer vision engineers and research scientists.
Artificial Intelligence: Natural Language Processing: Focused on computational approaches to understanding human language, this track incorporates linguistics and text analytics. It prepares students for jobs like NLP engineer, computational linguist, and specialists in voice recognition technologies.
Artificial Intelligence: Data Science: Combining machine learning with statistical analysis and programming, this specialization suits students interested in business intelligence and healthcare analytics. Graduates often become data scientists or analytics managers.
Artificial Intelligence: Ethics and Society: This field explores the societal effects and ethical issues arising from AI technologies. Students learn policy analysis, risk assessment, and public communication skills, paving the way for careers in ethics consultancy, policy, and academic research.

For those weighing their options, considering an easiest degree online in related fields might also be a strategic path to enter artificial intelligence studies efficiently.

How Long Does It Take to Complete Each Type of Artificial Intelligence Degree?

Understanding the duration of artificial intelligence programs is crucial for students as it helps in planning their education and career paths effectively. Knowing how long each degree takes allows for better time management and financial planning.

Below is a list of the main artificial intelligence degree types along with their typical completion times and factors that can influence these durations.

Associate Degree in Artificial Intelligence: Usually completed in about 2 years, this degree provides foundational knowledge and skills. Part-time enrollment or transfer credits may affect the timeline, and some schools offer accelerated or fully online options to speed up completion.
Bachelor's Degree in Artificial Intelligence: Typically a 4-year program, this degree covers comprehensive AI concepts and technical skills. Students attending part-time or those who transfer credits can finish sooner or later, and many institutions provide online and accelerated tracks.
Master's in Artificial Intelligence: Generally requiring 1 to 2 years beyond a bachelor's degree, master's programs focus on advanced AI topics and research. The duration varies depending on full- or part-time study, and numerous online accelerated programs are available.
Doctorate in Artificial Intelligence: This is the longest path, taking around 4 to 6 years, often involving original research and a dissertation. The timeline can extend based on the research scope, funding, or part-time status, while some institutions offer flexible or online components.

Breakdown of Private Fully Online For-profit Schools

Source: U.S. Department of Education, 2023

Are There Accelerated Artificial Intelligence Degree Programs?

Accelerated artificial intelligence degree programs are available in the United States and offer students the opportunity to complete their undergraduate and graduate education faster than the traditional timeline. Rather than spending six or more years earning separate degrees, many of these programs allow completion in around five years by combining coursework and enabling students to count certain classes toward both degrees.

Additionally, some master's programs in artificial intelligence can be completed in as little as one year by adopting formats that include full-time intensive study or hybrid models blending online and on-campus learning. These accelerated options often rely on condensed courses, year-round academic terms including summer sessions, and acceptance of transfer credits or prior advanced degrees to shorten overall completion time. Institutions such as Northwestern University, Duke, and Arizona State University offer specialized master's tracks that utilize these strategies to help reduce time in school without compromising the curriculum's rigor.

Students considering accelerated artificial intelligence degrees should prepare for a significantly more demanding workload compared to traditional programs. The intensity comes from compressed syllabi, frequent deadlines, and little time for breaks between terms. Eligibility for these programs typically requires a strong academic record, completion of prerequisite courses, and careful planning with academic advisors to ensure all credit transfers and degree requirements are met efficiently.

While the potential for time and tuition savings is substantial, success depends on sustained commitment and effective time management. Graduates from these accelerated tracks are well-positioned for lucrative careers, with median salaries in AI and related fields ranging roughly from $100,000 to $150,000 annually, reflecting the value of their advanced training.

Are Online Artificial Intelligence Degrees as Credible as Traditional Ones?

Online artificial intelligence degree programs increasingly uphold rigorous academic standards comparable to traditional, campus-based offerings. Accredited online programs, particularly from well-established universities, leverage digital platforms, virtual labs, and AI-driven tools to simulate hands-on experiences and maintain student engagement. Many programs incorporate personalized learning pathways, interactive simulations, and comprehensive assessments.

However, some practical limitations exist for subjects requiring intensive lab work. In contrast, traditional degrees benefit from immersive, in-person experiences, immediate feedback, and access to physical labs and campus resources, which are often essential in technical or regulated fields like engineering or healthcare. Both formats adhere to accreditation standards, ensuring that curriculum quality and learning outcomes remain consistent across delivery methods.

Recent trends show growing employer acceptance of online degrees in artificial intelligence and related fields. More than 80% of employers now consider accredited online degrees as credible as traditional ones, especially when awarded by regionally or nationally recognized universities. The technology sector, a major employer of AI talent, tends to prioritize demonstrable skills and project portfolios over the degree format.

Despite this, skepticism can persist around for-profit or lesser-known online institutions. Ultimately, the credibility of an artificial intelligence degree depends more on the reputation and accreditation of the institution rather than whether the program is online or in person. For students targeting competitive salaries often exceeding $100,000 annually in AI roles, selecting a respected, accredited program is the most critical factor.

How Much Does Each Type of Artificial Intelligence Degree Typically Cost?

Understanding tuition differences across degree levels in artificial intelligence is essential for effective budgeting and financial planning. These costs vary widely depending on the degree type, institution, and mode of study, making it crucial to know what to expect. Below is an outline of typical tuition ranges for each type of Artificial Intelligence degree to help prospective students make informed decisions.

Associate Degree in Artificial Intelligence: Tuition for associate degrees generally ranges from $12,356 for in-state students to $31,846 for out-of-state students per year. Public community colleges usually offer more affordable options compared to private institutions, and online programs may provide additional savings. Common financial aid sources include federal Pell Grants, state aid, and institutional scholarships.
Bachelor's in Artificial Intelligence: The average annual tuition for bachelor's programs mirrors that of associate degrees, with about $12,356 for in-state and $31,846 for out-of-state students. Public universities tend to be less expensive than private ones, while online formats offer increased flexibility. Students can access federal and state grants along with merit-based and need-based scholarships from their institutions.
Master's in Artificial Intelligence: Tuition costs vary significantly, starting around $28,000 per year at public universities like Purdue, and reaching $30,000 to $60,000 annually at prestigious private institutions such as MIT, Stanford, and Columbia. Online and certificate programs generally offer more affordable alternatives, sometimes as low as $8,400. Graduate assistantships, internships, and scholarships are common financial support options.
Doctoral Degree in Artificial Intelligence: Ph.D. program tuition rates are often lower at public universities but total expenses vary. Many doctoral students benefit from graduate research or teaching assistantships that cover tuition and provide stipends. Fellowships and federal research funding are typical forms of financial aid for these advanced studies.
Graduate Certificate in Artificial Intelligence: These shorter programs usually cost between $7,000 and $9,400 for online certificates at public universities, with some like Purdue offering options around $8,400. They may qualify for employer tuition reimbursement, federal aid, and institutional scholarships, offering a cost-effective path for skill enhancement.

What Jobs Can You Get with Each Type of Artificial Intelligence Degree?

The level of education in artificial intelligence greatly influences career opportunities, with each degree qualifying graduates for specific roles and industry entry points. Higher degrees often lead to specialized, research-oriented, or leadership positions, while entry-level credentials typically prepare candidates for supporting or technical roles. Below is an outline of common jobs associated with various artificial intelligence degree types.

Associate degree in artificial intelligence: Graduates usually find entry-level jobs such as AI support specialist, junior data technician, or AI lab assistant. These roles generally involve assisting with data collection, monitoring AI system performance, or providing technical support within IT departments, research labs, or business analytics teams.
Bachelor's degree in artificial intelligence or related fields: This degree is often the minimum requirement for core AI roles like machine learning engineer, junior data scientist, and business intelligence (BI) developer. Tasks include building machine learning models, analyzing large datasets, and developing analytics tools in industries such as technology, healthcare, finance, and manufacturing. Average salaries range from $99,780 for BI developers to $157,969 for machine learning engineers.
Master's degree in artificial intelligence or data science: With a master's, candidates qualify for advanced positions like senior data scientist, AI product manager, AI research scientist, and computer vision engineer. These professionals lead projects involving deep learning, natural language processing, or AI system architecture, often working in research labs, tech companies, or product teams. Median salaries frequently exceed $150,000 for these roles.
Doctorate (Ph.D.) in artificial intelligence or computer science: A Ph.D. is typically required for high-level research scientist roles in academia or industries demanding intensive research, as well as leadership positions such as head of machine learning or AI lab director. These jobs focus on pioneering AI techniques, publishing innovative research, and directing strategic agendas. Compensation can surpass $200,000 in senior research roles at leading firms. For those interested in pursuing this level, exploring the cheapest PhD programs in USA can be a practical first step.

How Do Salaries Differ by Artificial Intelligence Degree Type?

Degree level often influences earning potential within artificial intelligence careers, making it a crucial factor for students to consider when planning their education. Understanding how salaries differ by artificial intelligence degree type can help students make informed decisions aligned with their financial and professional goals. The following list outlines typical salary ranges for each common degree type to provide clarity on expected earnings.

Associate Degree in Artificial Intelligence: Entry-level roles such as AI technician or junior data analyst typically offer starting salaries between $45,000 and $65,000 annually. Pay at this level varies based on geographic location and industry demand, and long-term earning potential usually requires further education.
Bachelor's Degree in Artificial Intelligence: Graduates with a bachelor's degree can access many entry- to mid-level positions like AI developer or machine learning analyst, with starting salaries generally ranging from $90,000 to $120,000. Higher salaries are often found in major tech hubs or competitive industries, though advancing to senior roles may need experience or graduate study.
Master's Degree in Artificial Intelligence: Holders of a master's degree often qualify for senior machine learning engineer or data scientist positions, where salaries start between $120,000 and $160,000, and can exceed $200,000 in top markets. Location, specialized industry knowledge, and relevant work experience significantly influence compensation at this level.
Doctoral Degree (PhD) in Artificial Intelligence: PhD graduates are suited for advanced research scientist or principal investigator roles, typically commanding median salaries from $140,000 to $200,000 or more. Expertise, research contributions, and leadership positions contribute to higher earning potential, especially at elite organizations.

Students aiming to select an affordable path to achieve these degrees might consider options like the cheapest online university, which can help reduce educational costs while still positioning graduates for competitive salaries in the AI field.

Is There High Demand for Artificial Intelligence Degree Holders in the Job Market?

There is a high and rapidly increasing demand for artificial intelligence degree holders in the US job market. This growth is driven by technological advancements, evolving workforce needs, and the broadening adoption of AI across many industries. In 2024 alone, nearly 628,000 job postings required at least one AI skill, marking a sharp rise from just 0.5% of postings in 2010 to 1.7% in 2024. Demand is particularly strong in STEM and computer-related fields, where AI skills are required in up to 5.3% of postings for PhD-level roles.

However, AI expertise is also expanding beyond technical domains into management, product development, and analytics roles, reflecting the increasing need for AI literacy across professions. This widespread growth is influenced by both technical AI development roles and the integration of AI tools in a diverse array of jobs. Regional variations exist, with tech hubs like California, New York, and Texas leading in absolute AI job opportunities, but demand is growing nationwide as businesses increasingly adopt AI-driven solutions.

The outlook for individuals holding artificial intelligence degrees remains exceptionally strong. Entry-level AI positions, such as data scientist and machine learning engineer, offer median salaries between $157,000 and $204,000, while more specialized roles like AI researcher and computer vision engineer have average salaries ranging from $82,000 to $127,000.

The upward trend in demand is tied to ongoing technological innovation and broader employer adoption of AI applications. For students exploring educational options, understanding what certificate programs pay well can be a valuable part of planning their career paths. Overall, the AI job market promises sustained and growing opportunities for qualified professionals in the coming years, making it an attractive and data-driven field for many entering the workforce.

What Factors Should You Consider When Picking a Type of Artificial Intelligence Degree?

Choosing the right degree level in artificial intelligence is a critical decision that directly impacts your career trajectory and fits your personal circumstances. Aligning your education with your professional goals and available resources ensures a more rewarding and efficient learning experience. Below are key factors to evaluate when selecting an artificial intelligence degree.

Career Goals: Your career aspirations shape the degree level you pursue. Bachelor's degrees often prepare you for entry-level roles with starting salaries between $80,000 and $100,000, while master's degrees open doors to senior roles like AI engineer with salaries typically over $120,000 in the U.S.
Educational Background: Assess your foundation in mathematics, programming, and statistics. Those without prior experience may benefit from undergraduate fundamentals before advancing to specialized AI programs, which usually require skills in Python, algorithms, and data analysis.
Time Commitment: Degree duration and study intensity vary. Bachelor's programs generally require four years full-time, whereas master's degrees can take one to two years, sometimes available online or part-time, enabling flexibility to fit your schedule.
Program Availability and Focus: AI-specific undergraduate degrees are limited, so consider related fields like computer science or data science that incorporate significant AI coursework. Graduate programs often offer more specialized AI tracks tailored to business, healthcare, or engineering applications.
Cost and Return on Investment: Compare tuition costs against expected salary gains. Public institutions average $11,610 annually for four years, while private colleges can exceed $43,000. Weigh these costs with your long-term earning potential based on the degree pursued.

What Artificial Intelligence Graduates Say About Their Degree and Salary

Jem: "Completing my master's degree in artificial intelligence was a transformative journey that not only sharpened my technical skills but also opened doors to pioneering careers in healthcare technology. The program's emphasis on ethical AI and real-world applications gave me the confidence to contribute meaningfully to developing AI systems that improve patient outcomes. The sense of community among my peers from diverse backgrounds fueled my passion for innovation and lifelong learning. Earning this degree accelerated my professional growth and solidified my commitment to using AI for social good. "

Alice: "After earning my bachelor's degree in artificial intelligence, I quickly realized how versatile and in-demand the skills I had gained were. Landing my first job in a leading tech firm felt like a testament to the relevance of this degree in today's workforce. Reflecting on my experience, I appreciate the practical projects and internships that prepared me to tackle real challenges. This degree not only gave me knowledge but also the resilience and adaptability needed in a fast-evolving field, empowering me to lead AI initiatives confidently. "

Venzon: "Pursuing a PhD in artificial intelligence was a rigorous but deeply rewarding path that expanded my expertise and critical thinking abilities. It allowed me to explore complex problems in machine learning while fostering a commitment to advancing academic research and mentoring younger students. The challenges I encountered taught me perseverance and enhanced my leadership skills, enabling me to contribute to AI policy discussions and community outreach programs. This experience has been pivotal in shaping a career dedicated to ethical AI development and societal impact. "

Other Things You Should Know About Artificial Intelligence Degree Programs & Salaries

What is the average salary for someone with a master's degree in artificial intelligence?

Individuals holding a master's degree in artificial intelligence typically earn between $90,000 and $130,000 annually in the United States. Salaries vary based on industry, location, and years of experience but generally exceed those with only a bachelor's degree in the field.

Do AI PhD holders earn significantly more than master's graduates?

Yes, PhD holders in artificial intelligence often earn higher salaries due to advanced expertise and their qualification for specialized research roles. Their median salaries can be 15-30% higher than master's graduates, especially in academia, industry research labs, or leadership positions.

How does experience influence salary in artificial intelligence careers?

Experience plays a critical role in salary growth within artificial intelligence careers. Entry-level salaries increase substantially with each year of relevant experience, as professionals gain technical skills and leadership capabilities, often doubling initial earnings within 5 to 10 years.

Are AI certification programs beneficial for salary increases?

AI certification programs can enhance a professional's qualifications but usually provide modest salary increases compared to formal degree programs. Certifications are often most valuable when combined with existing degrees and work experience, demonstrating up-to-date skills.