Choosing a master’s degree: data science or artificial intelligence
Data science and artificial intelligence both rank among technology's fastest-growing specializations. Which should you pursue? Compare the paths to help you decide.
By: Amy Boyington, Edited by: Mitch Jacobson
Last updated: August 1, 2025
Data science and artificial intelligence (AI) have become two of the hottest fields in technology. Both can lead to dynamic, good-paying career opportunities with strong growth projections.
If you've decided to target a high-growth technology field, chances are you've considered both of these specializations. Compare their profiles as you weigh the relative merits of a master's in artificial intelligence vs. data science.
Source: Economic pressures propel workers to reskill, AI anxiety drives surge in upskilling among workers
Comparing master's in data science vs. artificial intelligence
In broad terms, a master's program in data science mainly focuses on business analytics and the technologies that power it. Meanwhile, a master's in artificial intelligence mostly explores the computer science skills professionals use to develop, train, refine, and deploy AI and machine learning systems.
Explore master's in artificial intelligence vs. data science in further detail:
Curriculum
Master's in data science
In a data science master's degree program, you'll learn how to use tools to collect, organize, and analyze data to help organizations make informed decisions. The curriculum covers:
- Statistical computing
- Database management
- Data governance
- Data mining
Some programs offer specializations, like analytics and modeling, data engineering, or artificial intelligence.
Master's in artificial intelligence
An artificial intelligence master's degree program includes some data science concepts, like probability and data analytics, but focuses more on:
- Ethical AI
- AI governance
- Machine learning models
Specializations aren't as common for AI master's programs, but you can usually choose electives, like data-driven decision-making or AI security, to round out your degree.
Admissions
A master's in data science and a master's in artificial intelligence have similar admission processes and requirements.
Similar admission requirements
Both programs generally request the following information when you apply:
- Official undergraduate transcripts
- Proof of minimum GPA (usually 3.0)
- Personal statement
- Three letters of recommendation
You can also submit GRE scores or work experience information to enhance your application.
Different admission requirements
The primary difference between AI and data science master's programs' admissions is their recommended and required prerequisites.
Data science master's degree programs usually require applicants to have completed previous coursework in:
- Statistics
- Calculus
- Linear algebra
- Computer science
You may need similar undergraduate coursework for a master's in artificial intelligence, as well as classes in:
- Physics
- Algorithms
- Probability theory
Program costs
| Costs | Master's in data science | Master's in artificial intelligence |
|---|---|---|
| Cost range per credit | $350-$1,700 | $350-$1,600 |
| Cost range for 30-credit program | $10,500-$51,000 | $10,500-$48,000 |
Some online data science and artificial intelligence master's degrees charge higher rates for out-of-state students than in-state learners. However, many schools provide an online tuition rate for all online students, which can make your degree more affordable if you live in a different state from your school.
Program outcomes
Careers with a master's in data science
A master's in data science can prepare you for a career as a data scientist or data analyst. However, you can also use the degree to become a market researcher, business analyst, or economist. These roles largely function in the private sector, in areas such as healthcare, agriculture, education, finance, and manufacturing, but economists also commonly work for government agencies.
This data science and analytics career guide explores your options in further detail.
Careers with a master's in artificial intelligence
With an AI-focused master's degree, you'll have the education required to become an AI developer or AI engineer. These software specialists operate on the front lines of artificial intelligence research and development, primarily working for technology companies engaged in building systems powered by AI and machine learning.
Notably, a master's in artificial intelligence can also lead to careers in data science, since the concepts you'll learn also apply to business analytics. Master's degrees in data science do not transfer as readily the other way, though. AI might be a better option if you're seeking versatility.
Salary and career outlook for graduates
Graduating from a data science or AI-focused computer science master's program can pave the way to roles with high earning potential and strong job growth. Below are a few careers you can pursue, with data from the Bureau of Labor Statistics (BLS).
| Career | Median annual salary (2024) | Projected job growth (2023-33) |
|---|---|---|
| Data scientist | $112,590 | +36% |
| Market research analyst | $76,950 | +8% |
| Career | Median annual salary (2024) | Projected job growth (2023-33) |
|---|---|---|
| AI developer | $131,450 | +17% |
| AI engineer | $131,450 | +17% |
Data science vs. artificial intelligence: Which degree is best?
If you're interested in working with the algorithms and models behind data analysis and other computer-driven processes, a master's degree in AI might be the right fit for you.
A data science master's degree could be a better option if you want to work with data that helps businesses make informed decisions to improve their operations and increase revenue.
Before applying, compare the curricula of several data science and AI master's programs to determine which degree best aligns with your interests and career goals.