AI

Types of Degrees AI Majors Are Getting

The following table lists how many artificial intelligence graduations there were for each degree level during the last year for which data was available.

Education Level	Number of Grads
Master’s Degree	936
Graduate Certificate	141
Doctor’s Degree	34

What AI Majors Need to Know

People with careers related to ai were asked what knowledge areas, skills, and abilities were important for their jobs. They weighted these areas on a scale of 1 to 5 with 5 being the highest.

Knowledge Areas for AI Majors

Ai majors often go into careers in which the following knowledge areas are important:

• Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
• Engineering and Technology - Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.
• Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
• English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.
• Design - Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models.

Skills for AI Majors

A major in ai prepares you for careers in which the following skill-sets are crucial:

• Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
• Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
• Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
• Reading Comprehension - Understanding written sentences and paragraphs in work related documents.
• Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.

Abilities for AI Majors

A major in ai will prepare for your careers in which the following abilities are important:

• Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense.
• Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
• Problem Sensitivity - The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem.
• Oral Expression - The ability to communicate information and ideas in speaking so others will understand.
• Written Comprehension - The ability to read and understand information and ideas presented in writing.

What Can You Do With a AI Major?

Below is a list of occupations associated with ai:

Job Title	Job Growth Rate	Median Salary
Computer and Information Research Scientists	19.0%	$118,370
Software Developers, Applications	30.7%	$103,620
Software Developers, Systems Software	11.1%	$110,000

Who Is Getting a Master’s Degree in AI?

This major attracts more men than women. About 76% of the graduates in this field are male.

Racial-Ethnic Diversity

At the countrywide level, the racial-ethnic distribution of ai majors is as follows:

Race/Ethnicity	Number of Grads
Asian	102
Black or African American	12
Hispanic or Latino	36
White	171
International Students	562
Other Races/Ethnicities	53

Geographic Diversity

Students from other countries are interested in AI, too. About 60.0% of those with this major are international students.

Amount of Education Required for Careers Related to AI

Some careers associated with ai require an advanced degree while some may not even require a bachelor’s. In general, the more advanced your degree the more career options will open up to you. However, there is significant time and money that needs to be invested into your education so weigh the pros and cons.

Find out what the typical degree level is for ai careers below.

Education Level	Percentage of Workers
Post-Secondary Certificate - awarded for training completed after high school (for example, in agriculture or natural resources, computer services, personal or culinary services, engineering technologies, healthcare, construction trades, mechanic and repair technologies, or precision production)	0.9%
Some College Courses	1.7%
Associate’s Degree (or other 2-year degree)	2.8%
Bachelor’s Degree	70.0%
Post-Baccalaureate Certificate - awarded for completion of an organized program of study; designed for people who have completed a Baccalaureate degree but do not meet the requirements of academic degrees carrying the title of Master.	0.7%
Master’s Degree	17.0%
First Professional Degree - awarded for completion of a program that: requires at least 2 years of college work before entrance into the program, includes a total of at least 6 academic years of work to complete, and provides all remaining academic requirements to begin practice in a profession.	0.5%
Doctoral Degree	5.5%
Post-Doctoral Training	0.9%

Online AI Programs

The following table lists the number of programs by degree level, along with how many schools offered online courses in the field.

Degree Level	Colleges Offering Programs	Colleges Offering Online Classes
Certificate (Less Than 1 Year)	0	0
Certificate (1-2 years)	1	0
Certificate (2-4 Years)	0	0
Associate’s Degree	6	2
Bachelor’s Degree	26	8
Post-Baccalaureate	0	0
Master’s Degree	45	6
Post-Master’s	0	0
Doctor’s Degree (Research)	5	1
Doctor’s Degree (Professional Practice)	0	0
Doctor’s Degree (Other)	0	0

Majors Related to AI

You may also be interested in one of the following majors related to ai.

Major	Number of Grads
General Computer & Information Sciences	62,580
Information Technology	35,652
Informatics	2,793
Other Computer & Information Sciences	2,304
Human-Centered Technology Design	498

References

*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.

• College Factual
• College Scorecard
• National Center for Education Statistics
• O*NET Online
• U.S. Bureau of Labor Statistics
• Usual Weekly Earnings of Wage and Salary Workers First Quarter 2020

More about our data sources and methodologies.