The best artificial intelligence master’s degrees enhance your skills and prepare you for the workforce in an ever-growing field of artificial intelligence (AI). A Master’s Degree in Artificial Intelligence will cover subjects like robotics, machine learning, and big data.
In this article, we outline artificial intelligence master’s degree options, including online learning options. You will also find some of the top artificial intelligence master’s degree jobs that you can look forward to on your career path.
Where Can I Get a Master’s Degree in Artificial Intelligence?
Some of the best colleges where you can get a Master’s Degree in Artificial Intelligence in the US include Stanford University, Northeastern University, the University of Texas at San Antonio, Boston University, and Carnegie Mellon University.
What Schools Offer the Best Artificial Intelligence Master’s Degrees?
- Stanford University
- Northeastern University
- University of Texas at San Antonio
- Carnegie Mellon University
- Boston University
What Are the Admission Requirements for a Master’s Degree in Artificial Intelligence?
The admission requirements for a Master’s Degree in Artificial Intelligence include a bachelor’s degree in a related field with a minimum 3.0 GPA, letters of recommendation, a professional resume, and a statement of purpose.
Some universities might ask for your GMAT (Graduate Management Admission Test) or GRE (Graduate Record Examination) test scores, a reference list, and a short video in which you introduce yourself. These requirements will vary by program.
Artificial Intelligence Master’s Degree Admission Requirements
- Bachelor’s degree in a related field
- 3.0 GPA
- Letters of recommendation
- Professional resume
- Statement of purpose
How to Get a Master’s Degree in Artificial Intelligence
You can get an artificial intelligence master’s degree by fulfilling all of the graduation requirements. These usually involve obtaining all the program credits and completing a final thesis presentation or internship program.
How Many Credits Do You Need for a Master’s Degree in Artificial Intelligence?
For most programs, you need 30 credits to earn a Master’s Degree in Artificial Intelligence. These credits are usually divided into core courses, elective courses, and a final capstone project or thesis.
Some programs include other types of courses that are required to complete your Master’s Degree in Artificial Intelligence. These courses are usually divided into specialization courses and career application courses.
Artificial Intelligence Degree Requirements
- Core courses, including Foundations of AI, Machine Learning, and Python
- Elective courses, including Data Collection and Predictive Analysis
- Specialization courses that include special topics in AI
- Career application courses
- Final capstone project and/or thesis
Best Artificial Intelligence Master’s Degree Programs and Schools: Overview
| School | Program | Accreditation |
|---|---|---|
| Boston University | Master of Science in Artificial Intelligence | New England Commission of Higher Education |
| Carnegie Mellon University | Master of Science in Artificial Intelligence and Innovation | Middle States Commission on Higher Education |
| Duke University | Master of Engineering in Artificial Intelligence for Product Innovation | Southern Association of Colleges and Schools Commission on Colleges |
| Fairfax University of America | Master of Science in Artificial Intelligence and Machine Learning | Accrediting Council for Independent Colleges and Schools |
| Northeastern University | Master of Science in Artificial Intelligence | New England Commission of Higher Education |
| Oregon State University | Master of Science in Artificial Intelligence | Northwest Commission on Colleges and Universities |
| Stanford University | Master of Science in Computer Science with AI Specialization | WASC Senior College and University Commission |
| University of Maryland | Master of Professional Studies in Machine Learning | Middle States Commission on Higher Education |
| University of Southern California | Master of Science in Computer Science with AI Specialization | WASC Senior College and University Commission |
| University of Texas at San Antonio | Master of Science in Artificial Intelligence | Southern Association of Colleges and Schools, Commission on Colleges |
Best Schools for Artificial Intelligence: Top Artificial Intelligence Master’s Degree Programs
During your school search, it is important to find a program that develops your specialized skills, supports your learning, and meets your educational preferences. These top artificial intelligence master’s degree programs offer rigorous academic curricula that will help you advance your career. Read on to discover the best Master’s Degree in Artificial Intelligence programs on offer.
Boston University was established in 1839. It has over 15,000 enrolled graduate students from more than 130 countries across its 17 schools and colleges. This university offers over 300 programs, including advertising, journalism, and web application development.
Master of Science in Artificial Intelligence
The 32-credit Master of Science in Artificial Intelligence is an option for students with an undergraduate computer science degree or equivalent training and experience. This master’s program trains you to work as an AI engineer or machine learning engineer and prepares you to pursue a doctorate degree.
Master of Science in Artificial Intelligence Overview
- Accreditation: New England Commission of Higher Education
- Tuition: $30,525/semester or $1,908/credit
- Required Credits: 32 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 89%
Master of Science in Artificial Intelligence Admission Requirements
- GPA: 3.0
- Standardized Tests: Official GRE General Test score report
- Application Fee: $85
- Minimum Education: Bachelor’s Degree or international equivalent
- Other Requirements: Three letters of recommendation where one is an academic reference, a resume, and a self-evaluation essay
Applying to Boston University
- Complete the online application for graduate admission
- Provide official transcripts from other colleges attended
- Send three letters of recommendation
- Provide a short essay discussing your motivation for study
- Supply a current resume
Carnegie Mellon University is a private research university founded in 1900. It has over 6,000 graduate students enrolled across its seven colleges and independent schools. Some of its most popular programs include Computer Science, Business Administration and Management, and Electrical and Electronics Engineering.
Master of Science in Artificial Intelligence and Innovation
The Master of Science in Artificial Intelligence and Innovation program equips you to identify AI applications and develop and create solutions to large practical problems. Students work in teams to implement AI systems adapted to market needs.
The program requires the completion of 195 units which cover machine learning, neural networks, natural language processing, and deep learning. This artificial intelligence program also provides critical business skills like market intelligence, intrapreneurship, and entrepreneurship.
Master of Science in Artificial Intelligence and Innovation Overview
- Accreditation: Middle States Commission on Higher Education
- Tuition: $26,900/semester
- Required Credits: 195 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 93%
Master of Science in Artificial Intelligence and Innovation Admission Requirements
- GPA: 3.0
- Standardized Tests: GRE test scores
- Application Fee: $125
- Minimum Education: Bachelor’s Degree
- Other Requirements: Proof of English proficiency for international applicants, unofficial transcripts from all universities attended, resume, statement of purpose, three letters of recommendation, and a short introductory video
Applying to Carnegie Mellon University
- Complete the online application form
- Send transcripts for any other university attended
- Provide a current resume and three letters of recommendation
- Film a short personal video explaining your interest in the program
- Provide a statement of purpose
Duke University’s origins can be traced back to 1838. It is a private research university that offers several graduate programs in fields such as engineering, business, and environmental sciences. It currently has over 9,400 enrolled graduate students.
Master of Engineering in Artificial Intelligence for Product Innovation
This graduate program teaches students how to apply machine learning and AI to solve problems across industries like energy, health care, and education. Its curriculum was designed in collaboration with the AI industry, preparing students for the job market from the start.
During the program, students create a competitive portfolio, receive academic and career advising, and network with experts and peers. Graduate students must either choose the technical study track or the technology management study track. Students can also opt to study this ME as an online program.
Master of Engineering in Artificial Intelligence for Product Innovation Overview
- Accreditation: Southern Association of Colleges and Schools Commission on Colleges
- Tuition: $30,250/semester and $9,075/summer session (on campus), $18,150/semester (online)
- Required Credits: 30 credits
- Program Length: 1 - 2 years
- Learning Format: In person, 100% online
- NCES School Graduation Rate: 96%
Master of Engineering in Artificial Intelligence for Product Innovation Admission Requirements
- GPA: No specific minimum
- Standardized Tests: Not required
- Application Fee: $75
- Minimum Education: Bachelor’s degree in science or engineering
- Other Requirements: A minimum of one semester of programming and two semesters of calculus
Applying to Duke University
- Complete the online application form
- Pay the application fee
- Upload unofficial transcript from each institution you have attended
- Provide a current resume and three letters of recommendation
- Film a short video answering a given question
- Provide short answer essays
Fairfax University of America is a non-profit institution established in 1998. The university is focused on providing a flexible learning environment by allowing students to control the design and direction of their studies. Fairfax University of America offers a handful of graduate programs in areas like business administration, data analytics, networking, and cybersecurity.
Master of Science in Artificial Intelligence and Machine Learning
The Master of Science in Artificial Intelligence and Machine Learning requires the completion of 36 credits. The courses available provide theoretical and practical knowledge in computer interface implementation, software design, and IT systems management. This academic program also requires the completion of a capstone project.
Upon program completion, students can follow career paths as AI specialists, robotic process automation programmers, artificial intelligence engineers, and machine learning engineers.
Master of Science in Artificial Intelligence and Machine Learning Overview
- Accreditation: Accrediting Council for Independent Colleges and Schools
- Tuition: $726/credit
- Required Credits: 36 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 17%
Master of Science in Artificial Intelligence and Machine Learning Admission Requirements
- GPA: 3.0
- Standardized Tests: Not required
- Application Fee: None
- Minimum Education: Bachelor’s degree
- Other Requirements: Proof of English proficiency, statement of purpose, government-issued ID, and optional portfolio and interview
Applying to Fairfax University of America
- Complete the application form
- Upload transcripts from undergraduate degrees
- Provide a statement of purpose
- Submit two letters of recommendation
- Send a professional CV
- Submit a copy of your government-issued ID
Northeastern University was established in 1898. It is a private research university with the main campus in Boston and satellite campuses across the US. There are over 125 graduate programs at this university and it has more than 7,700 graduate students enrolled.
Master of Science in Artificial Intelligence
The Master of Science in Artificial Intelligence provides extensive knowledge in areas such as data science, robotics, and machine learning. Upon graduation, students can pursue positions in AI research, software development, and leadership roles in the field.
Master of Science in Artificial Intelligence Overview
- Accreditation: New England Commission of Higher Education
- Tuition: $52,000/year
- Required Credits: 32 credits
- Program Length: 2 - 2.5 years
- Learning Format: In person
- NCES School Graduation Rate: 90%
Master of Science in Artificial Intelligence Admission Requirements
- GPA: 3.0
- Standardized Tests: GRE test scores (147 Verbal Reasoning, 152 Quantitative Reasoning, 3.5 Analytical Writing)
- Application Fee: $75 to $100
- Minimum Education: Bachelor’s degree
- Other Requirements: None
Applying to Northeastern University
- Complete the application form
- Pay application fee
- Upload transcripts from undergraduate degrees
- Provide a statement of purpose
- Submit three letters of recommendation
- Provide unofficial GRE examination scores
Oregon State University is a public land-grant research university whose roots date back to 1856. It currently offers several graduate programs across many fields like business, engineering, education, and liberal arts. There are over 5,600 graduate students enrolled in OSU.
Master of Science in Artificial Intelligence
This MS in AI allows students to experience and specialize in different areas of the field. The 45-credit graduate program teaches students how to conduct relevant research and develop techniques and applications in AI, focusing on its social impacts.
Master of Science in Artificial Intelligence Overview
- Accreditation: Northwest Commission on Colleges and Universities
- Tuition: $498/credit (resident), $1,046/credit (non-resident)
- Required Credits: 45 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 69%
Master of Science in Artificial Intelligence Admission Requirements
- GPA: 3.0
- Standardized Tests: GRE tests
- Application Fee: $75
- Minimum Education: Bachelor’s Degree
- Other Requirements: None
Applying to Oregon State University
- Complete online application
- Provide official transcripts from each superior institution attended
- Send unofficial GRE test scores for review
- Provide letters of recommendation
Stanford University, founded in 1885, is one of the biggest private research universities in the United States. It has over 9,000 graduate students enrolled across nearly 200 fields of study. The most popular majors include computer science, engineering, and economics.
Master of Science in Computer Science with AI Specialization
This master’s degree program teaches students AI principles and techniques like logic and probability, as well as coding languages. The artificial intelligence specialization covers robotics, machine learning, natural language processing, and the application of AI in domains like biology.
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Master of Science in Computer Science with AI Specialization Overview
- Accreditation: WASC Senior College and University Commission
- Tuition: $1,352/credit
- Required Credits: 45 credits
- Program Length: 2 years
- Learning Format: Hybrid
- NCES School Graduation Rate: 95%
Master of Science in Computer Science with AI Specialization Admission Requirements
- GPA: 3.5
- Standardized Tests: Not required
- Application Fee: $125
- Minimum Education: Bachelor’s degree
- Other Requirements: Three letters of recommendation
Applying to Stanford University
- Complete the online application form
- Provide transcripts from previous colleges attended
- Offer a statement of purpose
- Submit three recommendation letters
- Provide a professional resume
The University of Maryland-College Park is at the forefront of public research universities in the state. It has over 9,000 enrolled graduate students who are supported in earning their degrees while working full-time. Its Science Academy offers degree programs in machine learning, data science, bioinformatics, and computational sustainability. All programs are rigorous and taught by world-class experts in each field.
Master of Professional Studies in Machine Learning
This graduate program teaches different methods of creating prediction and decision-making models based on data. Students acquire a solid understanding of programming, deep learning, big data analysis, and statistics. Its rigorous and technical curriculum prepares students for a future successful career in information engineering, data science, data mining engineering, or computer programming.
Master of Professional Studies in Machine Learning Overview
- Accreditation: Middle States Commission on Higher Education
- Tuition: $768/credit (resident), $1,706/credit (non-resident)
- Required Credits: 30 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 87%
Master of Professional Studies in Machine Learning Admission Requirements
- GPA: 3.0
- Standardized Tests: GRE test scores
- Application Fee: $75
- Minimum Education: Bachelor’s degree
- Other Requirements: Official transcripts for all post-secondary work
Applying to University of Maryland
- Complete the online application
- Identify and contact references for recommendation letters
- Send a copy of transcripts for all post-secondary work
- Provide a statement of purpose
- Submit a CV/resume
The University of Southern California first opened its doors in 1880 and is now one of the world’s leading private research universities. It currently hosts over 26,000 enrolled graduate students across a wide range of fields of expertise, including business, engineering, and computer science.
Master of Science in Computer Science with AI Specialization
The AI specialization in this 30-credit master’s degree provides students with advanced knowledge in machine learning, statistics, computational mathematics, natural language processing, and robotics. Students in this program can select an additional thesis or honors stream.
Master of Science in Computer Science with AI Specialization Overview
- Accreditation: WASC Senior College and University Commission
- Tuition: $2,309/credit
- Required Credits: 32 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 92%
Master of Science in Computer Science with AI Specialization Admission Requirements
- GPA: None
- Standardized Tests: GRE not required
- Application Fee: $90
- Minimum Education: Bachelor’s degree
- Other Requirements: Official transcripts, proof of English proficiency, letter of recommendation, resume, and personal statement
Applying to University of Southern California
- Complete the USC graduate admission application
- Upload transcripts from previous colleges attended
- Provide a CV and letters of recommendation
- Write a statement of purpose
The University of Texas at San Antonio was founded in 1969 and is considered a top-tier US university. It currently enrolls over 4,500 graduate students and offers more than 100 graduate programs across 7 colleges.
Master of Science in Artificial Intelligence
This Master of Science in Artificial Intelligence degree program covers both software and hardware skills. It includes three different concentration options in the fields of advanced analytics, computer science, and intelligent and autonomous systems. Students who want to acquire more research experience can choose to write a final thesis.
The degree program prepares students for future careers in the AI field. Upon graduation, they are prepared to work as robotics engineers and computer programmers.
Master of Science in Artificial Intelligence Overview
- Accreditation: Southern Association of Colleges and Schools, Commission on Colleges
- Tuition: $397.53/credit (in state), $1,394.63/credit (out of state)
- Required Credits: 30 credits
- Program Length: 2 years
- Learning Format: In person
- NCES School Graduation Rate: 46%
Master of Science in Artificial Intelligence Admission Requirements
- GPA: 3.0
- Standardized Tests: Not required
- Application Fee: $50 (domestic fee), $90 (international fee)
- Minimum Education: Bachelor’s degree in a related field
- Other Requirements: Resume, two letters of recommendation recommended, and proof of English language proficiency
Applying to University of Texas at San Antonio
- Complete the application form through the portal
- Provide official transcripts from all institutions attended
- Submit a professional resume
- Send two letters of recommendation
- Write a statement of purpose
What Is an Artificial Intelligence Master’s Degree?
An artificial intelligence master’s degree is a graduate program that teaches students to create AI solutions. It covers mechanics, engineering, robotics, logic, and programming. Most master’s programs take two years to complete. During this time, students work on their programming and engineering skills. Master’s degrees lead to high-paying jobs and career advancements.
How Important Is a Master’s Degree in Artificial Intelligence?
A master’s degree is very important in the field of artificial intelligence. Computer science undergraduate degrees cover the basics of mathematics, engineering, and artificial intelligence, but it’s at the graduate level that students dive into the specifics of AI, gain specialized skills, and conduct industry-relevant research.
Having a master’s degree in AI will make you stand out to employers and they will recognize your technical expertise in the field. This will lead to a wider pool of job opportunities, higher salaries, and better career prospects.
What Types of Master’s Degrees Can You Get in Artificial Intelligence?
The most common types of master’s degrees you can get in artificial intelligence are Master of Science and Master of Professional Studies. There are a few differences between these types of degrees, especially when it comes to practical application.
Is It Better to Get a Master of Science or a Master of Professional Studies in Artificial Intelligence?
It’s better to get a Master of Professional Studies in Artificial Intelligence if you’re looking to get hired quickly. These programs are designed with a focus on practical skills. They involve hands-on learning, an obligatory capstone project, and industry experts as teachers. Completing this type of program gives you professional training and prepares you for senior positions in the field.
A Master of Science in AI provides advanced knowledge in broader areas and includes a lot of research and lab work. This type of degree is suited for students who want to enroll in a doctoral program after graduation.
What Is the Difference Between an Artificial Intelligence Master’s Degree and an Artificial Intelligence Certificate?
The difference between an artificial intelligence master’s degree and an artificial intelligence certificate is the level of knowledge each provides. Both programs will instill practical skills that you can apply to your professional life. However, master’s degrees cover a much broader range of topics than a certificate program. Certificate programs also take less time to complete.
An artificial intelligence master’s degree will open doors for a wider range of career paths, and these types of academic credentials are typically more transferable between industries. On the other hand, a graduate certificate trains you in a specific topic or skill.
How Much Does It Cost to Get a Master’s Degree in Artificial Intelligence?
Getting a Master’s Degree in Artificial Intelligence costs approximately $19,314, according to the National Center for Education Statistics. This value represents the average graduate tuition in all institutions between 2018 and 2019. The cost of tuition will depend on how long it takes for students to complete their Master’s Degree in Artificial Intelligence, the university they enroll in, and the location of their classes.
How Long Does It Take to Get an Artificial Intelligence Master’s Degree?
It takes approximately two years to get an artificial intelligence master’s degree. The duration of your degree will vary depending on the number of courses your program requires and whether you’re enrolling full-time or part-time.
To get a Master’s Degree in Artificial Intelligence you have to complete at least 30 credits. The program is divided into four semesters, meaning that you have to complete a minimum of seven credits per semester to graduate in two years.
How Hard Is It to Get a Master’s Degree in Artificial Intelligence?
It can be hard to get a Master’s Degree in Artificial Intelligence. How difficult you find the program will depend on many factors like your interest and expertise in the subject, quality of prior education, and the method of delivery. Some people can pick up new coding languages in a few days, while others need more time.
Practice makes perfect when it comes to learning AI. If you already have a bachelor’s degree in the field, the program will likely be easier for you, as you will already have a background in the basics of AI, machine learning, and computer science.
Why Should You Get an Artificial Intelligence Master’s Degree?
You should get an artificial intelligence master’s degree because it will provide the necessary knowledge and technical skills to adapt and thrive in the artificial intelligence sector. Companies across all industries are turning to AI to help them improve their businesses.
Artificial intelligence can be applied to virtually any business and industry. With a master’s degree, you’ll have the skills, qualifications, and insight to come up with your own projects and become a pioneer in AI innovation.
What Courses Do You Need to Take in a Master’s Degree Program in Artificial Intelligence?
The main courses you need to take for a master’s degree program in artificial intelligence cover principles of machine learning, probability and statistics for artificial intelligence, neural networks and deep learning, computer vision, and applications of AI and big data.
Principles of Machine Learning
This course gives students an introduction to machine learning. It touches on basic concepts like maximum likelihood estimations and deep learning networks. It also discusses current applications of machine learning such as data mining and speech recognition.
Probability and Statistics for Artificial Intelligence
This course teaches students how to take probability and statistical concepts and apply them in solving real problems in the industry. It will cover hypothesis testing, probability theory, and descriptive statistics.
Neural Networks and Deep Learning
Students taking this course will learn the basic principles of neural networks and explore current approaches to deep learning. The course covers apps identifying people in pictures, self-driving cars, and multi-language translation software.
Introduction to Computer Vision
This introductory course will give students theoretical and practical knowledge of computer vision principles, preparing them to use these to solve real-life problems. It covers topics like image formation, camera imaging, image processing, and object recognition.
Applications of Artificial Intelligence and Big Data
With this course, students will become familiar with real-world applications of artificial intelligence and big data. They’ll understand how they can apply these solutions in a range of industries from health care to robotics.
Continuing Education Paths for Artificial Intelligence Master’s Degree Graduates
Once you get your Master’s Degree in Artificial Intelligence, you can either choose a continuing education path or join the workforce directly. With a Master of Science, you can get certification in AI to improve your practical skills or enroll in a PhD program.
Related Artificial Intelligence Degrees
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What to Look For in the Best Artificial Intelligence Master’s Degree Programs
Things to look for in the best artificial intelligence master’s degree programs are accreditation, flexibility, curricular content, cost, and how much the program can prepare you for a future career.
Accreditation
When choosing a graduate program in artificial intelligence, it is crucial to enroll in a master’s degree that is accredited by a reputable and recognized institution. Valid accreditation guarantees that you are getting the best education from industry experts and employers will look to make sure that your qualifications come from an accredited school.
Flexibility
Many graduate students need to balance full-time jobs and other responsibilities with their studies. For these students especially, a flexible program is key. Flexible programs may offer options for flexible workload, an asynchronous teaching format, or online classes.
Curricular Content
If you’re interested in a particular area of artificial intelligence, make sure you find a program that carries courses in your specialization of interest. You can look for a master’s degree program that allows you to individually choose the courses you want to take, which will give you more agency in building your curriculum.
Cost
Tuition costs vary greatly from college to college and depend on whether you’re taking online or in-person classes. The tuition will also be affected by whether you’re enrolled in a private university or a public one, and if you’re enrolling in-state or out-of-state. Make sure you choose a program that meets your financial situation.
Career Preparation
The main goal of obtaining a Master’s Degree in Artificial Intelligence is to become better prepared for a career in the field. Some programs focus more on career preparation than others, so keep that in mind when choosing the best one for you. Many institutions offer career services to help you find work, polish your resume, and practice for job interviews while on the job hunt.
What Is the Most Affordable Artificial Intelligence Master’s Degree?
The most affordable artificial intelligence master’s degree is the Master of Science in Artificial Intelligence offered by the University of Texas at San Antonio. The average annual tuition for the program is just $7,056 and costs just $397.53 per credit for in-state students.
Salary and Job Outlook for Artificial Intelligence Master’s Degree Graduates
After completing your Master’s Degree in Artificial Intelligence, you will be ready to apply for advanced job opportunities in senior management and team leadership positions. In the next sections, will be taking a closer look at some of the jobs you can get with this type of degree.
How Hard Is It to Get a Job With an Artificial Intelligence Master’s Degree?
It’s not hard to get a job with an artificial intelligence master’s degree. This type of program gives you advanced skills in computer programming, software development, and machine learning, which employers value tremendously. Since AI is a rapidly evolving field, job opportunities arise regularly as companies embrace AI technology.
What’s the Average Artificial Intelligence Master’s Degree Salary?
The average salary for someone with an artificial intelligence degree is $103,000 per year, according to PayScale. This value varies depending on your specialization, experience, education, and the companies you work for.
For example, a machine learning engineer might earn an average salary of $112,513 per year, a robotics engineer earns on average $85,589 per year, and a senior software engineer makes over $120,000 annually.
What Types of Jobs Can You Get With an Artificial Intelligence Master’s Degree?
The jobs you can get with an artificial intelligence master’s degree are in the fields of computer programming, mechanical engineering, computer and information research, database administration, and computer systems analysis. AI is a relatively new field, with a great number of careers available across virtually all industries. As the market for artificial intelligence and machine learning continues to expand, new career opportunities and even new job titles will continue to appear.
Artificial Intelligence Degree Jobs
- Computer programmer
- Mechanical engineer
- Computer and information research scientist
- Database administrator or database architect
- Computer systems analyst
Potential Careers With an Artificial Intelligence Degree
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How Much Money Can You Make With a Master’s Degree in Artificial Intelligence?
You can make between $96,000 and $142,000 per year with a Master’s Degree in Artificial Intelligence. Depending on the field you choose, the company, and the industry you’re working with, these values will vary.
Highest-Paying Artificial Intelligence Master’s Degree Jobs and Salaries: Overview
| Artificial Intelligence Master’s Degree Jobs | Average Salary |
|---|---|
| Computer and Information Research Scientist | $131,490 |
| Computer Systems Analyst | $99,270 |
| Database Administrator or Database Architect | $98,860 |
| Mechanical Engineer | $95,300 |
| Computer Programmer | $93,000 |
Best Jobs for Artificial Intelligence Master’s Degree Grads
With a degree in artificial intelligence, you have access to jobs in a variety of fields. Below, we’ll outline some of the highest-paying artificial intelligence jobs for master’s degree graduates. We go into detail about what they entail, the job outlook, and the average annual pay.
Computer and information research scientists use their extensive knowledge in AI and machine learning to create new uses for this technology. Their work can be used to improve companies’ products and decision-making strategies across all industries.
- Average Salary: $131,490
- Job Outlook: 22% job growth from 2020 to 2030
- Number of Jobs: 33,000
- Highest-Paying States: Oregon, Arizona, and Texas
Computer systems analysts scrutinize a company’s current computer systems and design improvements. These suggestions will ultimately increase the company’s efficiency and profitability.
- Average Salary: $99,270
- Job Outlook: 7% job growth from 2020 to 2030
- Number of Jobs: 607,800
- Highest-Paying States: California, District of Columbia, and Massachusetts
Database administrators and architects work with big data organization systems to safely and efficiently store a variety of data. Regardless of the information stored, their main function is to design and create new databases for AI-based systems and applications.
- Average Salary: $98,860
- Job Outlook: 8% job growth from 2020 to 2030
- Number of Jobs: 168,000
- Highest-Paying States: New Jersey, Washington, and California
Mechanical engineers analyze functionality problems and assess how AI-based mechanical devices and intelligent systems can solvxe them. This is one of the largest engineering fields and mechanical engineering professionals work in a wide variety of fields ranging from improving the performance of cars to building and maintaining robots.
- Average Salary: $95,300
- Job Outlook: 7% job growth from 2020 to 2030
- Number of Jobs: 299,200
- Highest-Paying States: New Mexico, Louisiana, and District of Columbia
Computer programmers write code using programming languages. Their scripts work as instructions that robots, artificial intelligence programs, computers, or other AI applications need to follow to function properly.
- Average Salary: $93,000
- Job Outlook: 10% job decline from 2020 to 2030
- Number of Jobs: 185,700
- Highest-Paying States: Washington, California, and Virginia
Best Jobs According to Your Major
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Is a Master’s Degree in Artificial Intelligence Worth It?
Yes, a Master’s Degree in Artificial Intelligence is worth it. This type of program will give you the foundational knowledge and practical experience you need to secure high-paying jobs in a high-demand job market. It is also the best way to go if you’re looking to continue your education and pursue a PhD.
You can choose to enroll in in-person or online learning programs. Many institutions, especially for online courses, offer schedule flexibility and an affordable cost of tuition. If you’re passionate about the field of artificial intelligence, the education credentials and analysis skills you will gain from a master’s program will put you at the forefront of research in this advancing technology.
Additional Reading About Artificial Intelligence
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Artificial Intelligence Master’s Degree FAQ
The top new trends for AI in the future include natural language processing to help machines better comprehend human languages, cyber security, cloud and AI integration, and the development of the metaverse.
AI helps businesses grow by improving marketing strategies, cyber security, and the financial services of companies in any industry. Artificial intelligence helps businesses improve customer experience, automate work processes, and make decisions.
Some good artificial intelligence projects to help build a beginner’s portfolio include handwriting recognition programs, predicting house prices, creating chatbots in Python, and designing product recommendation systems.
Yes, you should learn Python for artificial intelligence. It is one of the most popular coding languages and one of the easiest to learn. Plus, it is extremely object-oriented and can be used for projects of any scale.
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