Artificial intelligence is changing the skills employers look for—but not every AI-related master's degree prepares students for the same career.
Some artificial intelligence master's programs focus on building AI systems. Others combine machine learning with data science, business analytics, or technology management.
For international students exploring U.S. graduate education, choosing the right program also means understanding course requirements, hybrid attendance, and potential Curricular Practical Training (CPT) eligibility.
Demand for advanced analytical and AI-related skills continues to grow.
According to the U.S. Bureau of Labor Statistics, employment of data scientists is projected to increase 35% from 2025 to 2035, with approximately 24,800 openings annually.
However, an AI degree does not automatically lead to an AI engineering career. Curriculum matters.
A master's in artificial intelligence typically emphasizes algorithms and intelligent systems. A data science master's focuses more heavily on statistics, modeling, and extracting insights from data. AI engineering programs go further into developing and deploying intelligent software.
| University | AI-Related Graduate Program | Academic Focus |
|---|---|---|
| New England College | Executive MS in Artificial Intelligence | Machine learning, NLP, deep learning |
| Indiana Wesleyan University | MS in Artificial Intelligence – Data Analytics; MS in Computer Information Systems – AI | Applied AI, analytics, information systems |
| Bay Atlantic University | MS in Artificial Intelligence Engineering | AI systems, neural networks, deployment |
| McDaniel College | MS in Data Analytics – Artificial Intelligence | Predictive modeling, machine learning, AI applications |
| Monroe University | MS in Data Science | Statistics, data engineering, AI and machine learning |
New England College in New Hampshire offers an Executive MS in Artificial Intelligence.
Its curriculum covers machine learning, deep learning, natural language processing, computer vision, and responsible AI development.
The executive program uses hybrid delivery, requires in-person residencies, and includes a required internship component.
This path may suit technology professionals seeking a focused AI qualification rather than a broader analytics degree.
Indiana Wesleyan University offers two notable AI-focused pathways.
The MS in Artificial Intelligence with a Data Analytics specialization combines AI methods with data strategies and analytical decision-making.
Its MS in Computer Information Systems with an AI specialization places AI within a broader technology and systems curriculum.
Both degree plans are listed in the university's official academic catalog.
These options may appeal to professionals interested in applied AI, business intelligence, or enterprise technology.
Bay Atlantic University, located in Washington, D.C., offers an MS in Artificial Intelligence Engineering.
According to the university's program description, the curriculum emphasizes intelligent software, neural architectures, machine learning, and AI system deployment.
Its professional hybrid pathway is designed for working adults.
Students interested in developing AI-powered products and systems may prefer this engineering-oriented approach.
McDaniel College in Maryland offers an MS in Data Analytics with an Artificial Intelligence specialization.
The school's published curriculum covers machine learning, deep learning, predictive models, and responsible AI applications.
The college also offers a hybrid, low-residency pathway with a three-day campus residency each semester.
This option may fit students who want to use AI to solve practical data and business problems.
Monroe University in New York offers an MS in Data Science.
Its graduate curriculum combines artificial intelligence, machine learning, statistical programming, big data, and cloud computing.
Students gain experience with tools and languages such as Python, R, and SQL.
For those comparing data science master's programs with dedicated AI degrees, Monroe offers a broader data-focused route that includes AI applications.
Potentially—but admission to an AI program does not automatically provide CPT authorization.
CPT must be directly related to the student's major and integral to an established curriculum. Under SEVP guidance issued in August 2026, qualifying practical training must be required by the established curriculum for students participating in that program, rather than merely offered as an optional internship.
A school's Designated School Official (DSO) must review eligibility and authorize CPT on Form I-20 before employment begins.
Before selecting a university, confirm the specific program's practical-training requirements, F-1 delivery format, residency schedule, and current CPT policy.
Read our 2026 Day 1 CPT guidance update for further information.
Whether you're interested in AI engineering, machine learning, or data analytics, start with the degree's actual curriculum—not just its title.
Explore more Day 1 CPT graduate programs or read our existing AI-related university comparison.
The strongest choice is a legitimate academic program that supports your career goals and meets all applicable F-1 requirements.