Arizona State University Ira A. Fulton Schools of Engineering 8 courses 30 total credits
The Master of Science program in artificial intelligence in information technology prepares students to design and manage artificial intelligence systems within modern IT environments. Students learn how to integrate AI into data management, cybersecurity, software development and cloud infrastructures to improve efficiency, security and innovation. The program emphasizes the principles of trustworthy AI, including transparency, fairness, privacy, safety and accountability. Through coursework and applied learning, students gain practical experience with machine learning, natural language processing, data engineering and intelligent automation. Students are prepared to lead AI-driven initiatives across public and private sectors, advancing responsible and ethical adoption of emerging technologies that support business, government and community needs. GI Bill® benefitsThis new program is not yet approved for use with GI Bill® benefits. GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/.
| Required Core | 21 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| IFT 511 | Analyzing Big Data | 3 |
| IFT 512 | Applied Machine Learning for Information Technology | 3 |
| IFT 525 | Introducing AI into Cybersecurity for Information Technology | 3 |
| IFT 530 | Advanced Database Management Systems | 3 |
| IFT 533 | Data Visualization and Reporting for IT | 3 |
| IFT 540 | Strategic Project Management | 3 |
| IFT 561 | Advanced Cloud Data Engineering | 3 |
| Total Required Core | 21 credits | |
Culminating Experience (0 or 3 credit hours)
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| IFT 593 | Applied Project | 3 |
Additional Application Information
Students who complete the applied project take six credit hours of electives. Students who complete the portfolio take nine credit hours of electives. All students have the opportunity to participate in experiential learning placements through the internship program.
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