Should you get a master's degree in artificial intelligence or a master’s in computer science?
By: Amanda Phagan, Edited by: Marie Custodio Collazo
Published: March, 20, 2025
You've earned your bachelor's degree and joined the workforce. You feel it's time to advance your career, so you wonder: "Should I get a master's degree in artificial intelligence (AI) or computer science?" The answer depends on many factors that we'll address in this guide. Read on to learn which of these high-tech master's programs is best for you.
Artificial intelligence degree vs. computer science degree
The main difference between these two programs is scope.
A computer science master's degree is broader than a master's degree in artificial intelligence. Computer science covers various topics, including coding, computer programming, and software engineering.
AI, on the other hand, is a specialized branch of computer science that involves algorithm design, machine learning, and data analysis. Both degrees offer a versatile education that can be applied to many lucrative career paths.
Salary and career outlook
Whether you choose to pursue a master's in computer science or a master's in artificial intelligence, you'll likely be able to apply your skills across various roles and industries. This is especially true for a master's in computer science since the curriculum is broad in scope.
What can you do with a master's in AI vs. a master's in computer science? Consider the following career paths with salary data from the Bureau of Labor Statistics (BLS):
| Job | Job outlook (2023-2033) | Median annual salary, 2023 |
|---|---|---|
| Computer and information research scientist | 26% growth | $145,080 |
| Computer systems analyst | 11% growth | $103,800 |
| Job | Job outlook (2023-2033) | Median annual salary, 2023 |
|---|---|---|
| Software developer | 18% growth | $132,270 |
| Software quality assurance analyst and tester | 12% growth | $101,800 |
Admissions requirements
You will need a bachelor's degree in computer science or a related field for both artificial intelligence and computer science master's programs. You may also need to submit a statement of purpose, transcripts, references, and your résumé. Admissions requirements vary, so be sure to check with individual programs for details.
The primary difference between admissions requirements for AI and computer science master's candidates lies in educational background.
AI program candidates are typically expected to have experience with Python, Java, C++, or R programming languages.
Computer science program candidates should have a background in computer science concepts such as information technology (IT), database management, or data science.
Curriculum
Master's in computer science curriculum
A master's in computer science curriculum lays the foundation for most career paths that involve complex computer systems. Coursework typically covers:
- Programming languages
- Linear algebra for computing
- Software engineering
- Advanced operating systems
- Big data analytics
Master's in AI curriculum
A master's in AI curriculum builds on basic computer science concepts in a way that focuses on creating and training intelligent systems. Coursework typically covers:
- Deep learning
- Machine learning
- Neural networks
- The ethics of AI
- Leadership in AI
Artificial intelligence vs. computer science: which degree is right for me?
Which degree is right for you depends on which concepts and career paths you are more interested in.
If you aspire to develop algorithms that power some of the world's most innovative systems (like search engines, streaming platforms, and autonomous vehicles), a master's in AI may make more sense for you.
If you prefer more general areas like IT, developing web applications, and database management, a master's in computer science may be a more fitting choice.