Computer Science (Artificial Intelligence), MS
Artificial Intelligence, Big Data, Computation, Computer Programming, Computer Science, Data Analytics, Technology, approved for STEM-OPT extension, computing, database, enggradcs
Step confidently into the future of technology with a graduate program designed for innovators who want to shape the intelligent systems transforming our world.
The Master of Science program in computer science with a concentration in artificial intelligence provides you with advanced training in the theory, methods and applications of AI. It combines strong theoretical foundations with flexible electives that reflect your research and career interests. This concentration balances required and elective coursework and offers both a course-only option and a culminating experience through a thesis or applied project.
You are equipped with the knowledge and research skills to advance the theory and practice of AI in academia, industry or government. If you are interested in further study, the program provides a great lead into the Doctor of Philosophy program in AI.
GI Bill® benefits
This new program isn't 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/.
This program may be eligible for an Optional Practical Training extension for up to 24 months. This OPT work authorization period may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.
The OPT extension only applies to students on an F-1 visa and does not apply to students completing a degree through ASU Online.
- College/school:
Ira A. Fulton Schools of Engineering
- Location: Tempe
- STEM-OPT extension eligible: Yes
30 credit hours - course-based master's, or
30 credit hours and a thesis, or
30 credit hours including the required applied project course (CSE 593)
COURSE-BASED OPTION Concentration (12 credit hours) Electives (9 credit hours) OPTIONS WITH CULMINATING EXPERIENCE Concentration (12 credit hours) Electives (3 or 6 credit hours) Culminating Experience (3 or 6 credit hours) Additional Curriculum Information Students should see the academic unit for the list of courses approved for each core area in applications, foundations and systems. Courses that are used to satisfy the concentration requirement on the plan of study cannot be used to satisfy the core requirement. Additionally, courses selected as part of the core or concentration may not be used as other elective coursework on the same plan of study. A course-based master's program is best suited for students who want to deepen their knowledge and advance their professional skills through structured coursework rather than independent research. Students may complete a thesis or an applied project as an optional culminating experience. Students who enjoy solving real-world problems and applying practical skills in professional settings may be drawn to the applied project option. Students with a strong interest in research and a desire to contribute original knowledge to their field may be well-suited for the thesis option. Students who select the applied project as their culminating experience must complete their project at the direction of an approved computer science graduate faculty member and complete the project course with a "B" grade or higher. Students complete a minimum of 30 credit hours for the program. At least 24 of these credit hours must be 500-level CSE courses at ASU. Up to six credit hours of 400-level courses may be applied to the plan of study for the nonthesis options.
Required Core Areas (9 credit hours)
applications (3)
foundations (3)
systems (3)
CSE 571 Artificial Intelligence (3)
CSE 574 Planning and Learning Methods in AI (3)
CSE 575 Statistical Machine Learning (3)
CSE 576 Topics in Natural Language Processing (3)
Required Core Areas (9 credit hours)
applications (3)
foundations (3)
systems (3)
CSE 571 Artificial Intelligence (3)
CSE 574 Planning and Learning Methods in AI (3)
CSE 575 Statistical Machine Learning (3)
CSE 576 Topics in Natural Language Processing (3)
CSE 593 Applied Project (3)
CSE 599 Thesis (6)
This master's degree offers a course-based option.
General university admission requirements:
All students are required to meet general
university admission requirements.
U.S.
applicants | International
applicants | English
proficiency
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 computer science, software engineering, STEM-related programs or a related field from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = ''A'') in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = ''A'') in an applicable master's degree program.
Applicants are required to submit:
- graduate admissions application and application fee
- official transcripts
- written statement
- proof of English proficiency
Additional Application Information
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency by scoring at least 4 on the Internet-based TOEFL (iBT)®, or a score of 80 if taken before January 21, 2026 in a testing center; 6.5 on the IELTS; or 105 on the Duolingo English test.
Before applying to the MS program in computer science, students are required to have completed two semesters or six credit hours of calculus, equivalent to Calculus I and II. Discrete math is also recommended prior to admission.
Students assigned any additional coursework upon admission must complete those classes with a grade of "C" (scale is 4.00 = "A") or higher within two semesters of admission to the program. These courses may include:
- CSE 230 Computer Organization and Assembly Language Programming
- CSE 310 Data Structures and Algorithms
- CSE 330 Operating Systems
- CSE 340 Principles of Programming Languages or CSE 355 Introduction to Theoretical Computer Science
The applicant's undergraduate GPA and depth of preparation in computer science and engineering are the primary factors affecting admission.
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 03/15 | Priority |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | Priority |
Students who complete the MS program in computer science are able to analyze key theories, algorithms and software modules used in the field of computer science. Graduates are prepared to pursue careers in research and education, including academia, government and industry.
Career examples include:
- computer network architect
- computer system analyst
- computer systems engineer
- data scientist or engineer
- machine learning, AI or computer vision engineer
- software developer
- software engineer
Computer Science and Engineering Program
|
CTRPT 105
scai.grad.admission@asu.edu
480-965-3199
Admission deadlines
Program term definitions
Accelerated programs allow students the opportunity to expedite the completion of their degree.
Accelerated master's
These programs allow students to accelerate their studies to earn a bachelor's plus a master's degree in as few as five years (for some programs).
Each program has requirements students must meet to be eligible for consideration. Students typically receive approval to pursue the accelerated master's during the junior year of their bachelor's degree program. Interested students can learn about eligibility requirements and how to apply.
Concurrent degrees allow students to pursue their own personal or professional interests, earn two distinct degrees and receive two diplomas. To add a concurrent degree to your existing degree, work with your academic advisor.
Joint programs, or jointly conferred degrees, are offered by more than one college and provide opportunities for students to take advantage of the academic strengths of two academic units. Upon graduation, students are awarded one degree and one diploma conferred by two colleges.
ASU adds new programs to Degree Search frequently. Come back often and look for the "New Programs" option.
ASU Online offers programs in an entirely online format with multiple enrollment sessions throughout the year. See https://asuonline.asu.edu/ for more information.
The Western Regional Graduate Program (WRGP) provides a reduced tuition rate to non-resident graduate students who qualify. Visit the WRGP/WICHE webpage for more information: https://graduate.asu.edu/wiche.
