No government agency publishes a salary figure for graduates of an AI master's degree or an AI-focused MBA as a group, so any single "average" quoted online is an estimate from a small sample. What official statistics do show is pay for the jobs those graduates usually enter: in the United States, data scientists had a median of USD 120,230 and computer and information research scientists USD 140,300 in May 2025, and in Canada the median data scientist wage was CAD 46.15 per hour in the latest Job Bank update.
Key takeaways
- Official wage tables are organized by occupation, not by degree, so a master's in AI has no published average pay.
- The U.S. Bureau of Labor Statistics lists a master's as the typical entry credential for computer and information research scientists, and a bachelor's for data scientists.
- Job Bank Canada reports a national median of CAD 46.15 per hour for data scientists, with a range from CAD 30.00 to CAD 69.74.
- The Graduate Management Admission Council projects a median U.S. starting salary of USD 120,000 for MBA hires in 2026, based on recruiter plans rather than signed offers.
Why a single average does not exist
Statistical agencies group workers by job title and report the pay of everyone in that title, whatever degree they hold. A person with a master's in artificial intelligence might work as a data scientist, a machine learning engineer, a software developer, or a researcher, and each of those has its own wage table. Salary pages on education blogs often blend job-board data, self-reported surveys, and conversions from other currencies. They are useful for a rough sense of scale but cannot be traced to a defined group of graduates.
The practical approach is to pick the occupation first, check what the government says about its pay and typical education, and then ask what a specific program reports about its own graduates.
What U.S. wage data shows
The Bureau of Labor Statistics (BLS) publishes the Occupational Outlook Handbook. For data scientists, the BLS profile gives a median annual wage of USD 120,230 in May 2025 and projects employment growth of 35 percent from 2025 to 2035. It lists a bachelor's degree as the typical entry-level education, adding that some employers require or prefer a master's or doctoral degree.
Computer and information research scientists are a different group. BLS reports a median of USD 140,300 in May 2025 and names a master's degree as the typical entry-level education, with projected growth of 22 percent over the same period. Both numbers are medians, so half of the workers in each occupation earn less. They also cover all experience levels, which means a new graduate should expect to start below them.
What Canadian wage data shows
Job Bank, run by the Government of Canada, publishes wage ranges by National Occupational Classification code. For data scientists (NOC 21211), the national wage page lists CAD 30.00 as the low, CAD 46.15 as the median, and CAD 69.74 as the high hourly wage. The figures were updated on November 19, 2025 and use a 2023 to 2024 reference period. Job Bank's requirements page for the same occupation lists a bachelor's degree in a quantitative field, with a master's or doctoral degree in machine learning, data science, or a related field also described as usually required.
| Hourly wage, Canada | Hourly (CAD) | Annualized at 2,080 hours (CAD) |
|---|---|---|
| Low | 30.00 | 62,400 |
| Median | 46.15 | 95,992 |
| High | 69.74 | 145,059 |
The annual column is an illustrative example, assuming 40 hours a week for 52 weeks. Actual hours, bonuses, and benefits differ by employer.
Where the MBA fits in
An MBA is a general management degree, and AI knowledge is one of several skills that recruiters weigh. The Graduate Management Admission Council (GMAC) surveyed 621 corporate recruiters and hiring managers in 39 countries from January to May 2026. Employers in the United States projected a median starting salary of USD 120,000 for MBA hires, USD 12,500 above hires coming directly from industry. That is USD 5,000 lower than the 2025 projection, though GMAC notes the change is within the margin of error. Business master's graduates were projected to earn about USD 10,000 more than bachelor's graduates.
These are projections of what recruiters plan to offer, and they do not isolate an AI specialty. GMAC also reports that roughly one third of recruiters plan to replace some entry-level jobs with AI, which is a reason to treat starting-salary figures for any degree with caution.
Checklist for judging a salary claim
- Does the figure name the occupation and the year of the data?
- Is it a median, an average, or a range, and who was surveyed?
- Is the currency stated, and was any conversion from another currency explained?
- Does the source separate new graduates from workers with many years of experience?
- Is the publisher an agency, a university, or a company selling courses?
This article gives general information about published statistics. It is not career, immigration, or financial advice, and individual pay depends on employer, city, experience, and negotiation.
FAQ
What is the average salary with a master's degree in AI?
No official average exists for that degree. Government sources report pay by occupation, such as USD 120,230 for U.S. data scientists in May 2025 and a Canadian median of CAD 46.15 per hour.
Does a master's degree increase pay for data scientists?
The sources checked do not publish pay by degree level within an occupation. They do show that a master's is common or preferred: BLS says some employers require or prefer one, and Job Bank says a master's or doctorate is usually required in machine learning and data science roles.
Is an MBA a good route into AI work?
An MBA leads mainly to management and business roles. GMAC data show a median projected U.S. starting salary of USD 120,000, but the survey does not separate AI roles, and technical positions usually ask for technical degrees.
Which numbers are most reliable for planning?
Medians from BLS and Job Bank are the most traceable, because the method, occupation, and date are published. Treat them as ranges for the whole workforce, not as offers for new graduates.
Related reading
- A beginner's AI syllabus and learning path
- Who builds AI: leading developers
- AI employers and workplace environment
- Canada's AI rules explained
More in AI Basics.
Last verified: October 2026
Sources
- Data Scientists, Occupational Outlook Handbook, U.S. Bureau of Labor Statistics, page modified August 27, 2026
- Computer and Information Research Scientists, Occupational Outlook Handbook, U.S. Bureau of Labor Statistics, page modified August 27, 2026
- Wages: Data Scientist in Canada (NOC 21211) and Requirements, Job Bank, Government of Canada, updated November 19, 2025
- Corporate Recruiters Survey 2026 Report (abstract), Graduate Management Admission Council, June 2026
- Business school in the age of AI: employer demand, salary potential and the skills that matter most, Graduate Management Admission Council, July 31, 2026