MS Artificial Intelligence Engineering (Software Engineering) at Arizona State University

Programme overview

The Master of Science program in artificial intelligence engineering with a concentration in software engineering combines advanced study in AI approaches with deep domain expertise in software engineering. The use of AI approaches, including machine learning, natural language processing, computer vision, robotics and pattern recognition is becoming widespread in many fields, including all engineering disciplines. Yet, the majority of engineering occupations require subject matter expertise beyond AI.

What you will study

30 credit hours and a thesis, or 30 credit hours including the required capstone course (SER 517) Required Core (3 credit hours) FSE 561 Artificial Intelligence Ethics and Social Responsibility (3) AI Engineering Foundations (3 credit hours) AI Systems and Tools (3 credit hours) Data Collection and Evaluation for AI Systems (3 credit hours) Concentration (9 credit hours) SER 501 Advanced Data Structures and Algorithms (3) SER 502 Emerging Languages and Programming Paradigms (3) SER 515 Foundations of Software Engineering (3) SER 531 Semantic Web Engineering (3) SER 541 Data Science for Software Engineers (3) Electives (3 or 6 credit hours) Culminating Experience (3 or 6 credit hours) SER 517 Software Factory Capstone (3) or SER 599 Thesis (6) Additional Curriculum Information For concentration coursework, students select three courses from the list.

Career pathways

Software engineers with a background in AI can pursue opportunities in a variety of fields to develop, customize and apply AI systems and tools while taking ethical and societal considerations into account. These skills can be applied to industries including: blockchain application cybersecurity interface development software development

Official programme page

Application information

Entry requirements

Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering. Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in computing, engineering, mathematics, statistics, operations research, information technology or a related field from a regionally accredited institution. Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of a student's first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

Domestic applicants: USD 13,327 a year (2026-27). Arizona resident tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads Source

International applicants: USD 24,780 a year (2026-27). International tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads ar Source

Entry terms: Fall, Spring and Summer; the terms available for each programme are listed in Degree Search.

Graduate application deadlines are set by each programme office and listed in Degree Search; the application opens almost a year before the start term. The nonrefundable application fee is $75 for U.S. citizens, permanent residents, DACA and international online students outside the U.S., and $120 for international students on a nonimmigrant visa studying in the U.S. Apply with ASU's graduate application (Law applicants use the law college's site); GRE/GMAT requirements vary by programme.

Apply through the official page: https://admission.asu.edu/apply/graduate/admission

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