The University of Cincinnati offers a Master of Engineering in Artificial Intelligence through its College of Engineering and Applied Science. The 30-credit, non-thesis program is designed around applied AI and can be completed in approximately 12 months.
The curriculum has a strong machine learning focus. Required coursework includes artificial intelligence, deep learning, and intelligent systems, while electives include machine learning, advanced machine learning, generative AI, information retrieval, and machine learning techniques for engineers.
Students also complete an industry-focused capstone, which can be fulfilled through an internship. This makes UC a strong option for students who want a practical AI degree rather than a research-heavy master’s program.
Quick Facts
| Degree | Master of Engineering in Artificial Intelligence |
| Location | Cincinnati, Ohio |
| Format | Campus-based |
| Credits | 30 |
| Program Length | Approximately 12 months |
| Thesis | No |
| Capstone | Yes; may be completed as an internship |
| Minimum GPA | 3.0 for standard admission |
| GRE | Conditional; see admissions section |
| 2026–27 Ohio Resident Graduate Tuition | $746 per credit before CEAS program fees |
Program Overview
UC’s MEng in Artificial Intelligence is a professional master’s degree built for engineers, computer scientists, and other technical students who want to develop applied AI skills for industry.
The program requires 30 credit hours and does not require a thesis. UC describes the degree as practice-oriented, with advanced coursework followed by a hands-on capstone that addresses an authentic industry problem.
The program covers machine learning, deep learning, intelligent systems, generative AI, information retrieval, and related AI methods. Students can use electives to build additional depth in areas such as advanced machine learning, soft computing, and applied generative AI.
Visit the University of Cincinnati MEng in Artificial Intelligence program page.
Machine Learning and AI Curriculum
The curriculum makes the program a clear fit for students comparing machine learning master’s degrees. UC requires three AI courses and at least four AI electives, along with professional engineering coursework and a capstone.
Required AI Courses
- CS 6033 Artificial Intelligence
- CS 6073 Deep Learning
- EECE 6036 Intelligent Systems
AI and Machine Learning Electives
- AEEM 6088 Machine Learning Techniques for Engineers
- AEEM 6097 Soft Computing Based AI
- CS 6037 Machine Learning
- CS 6054 Information Retrieval
- CS 6078 Generative Artificial Intelligence
- CS 6101 Introduction to Applied Artificial Intelligence and Machine Learning Tools
- CS 7063 Advanced Methods in Machine Learning
- EECE 6064 Applied Generative AI: A Deep Learning Approach Across Modalities
- EECE 7065 Complex Systems and Networks
Students choose four or more courses from the approved elective list. Additional electives may be approved by an adviser.
In addition to technical AI coursework, students complete professional engineering requirements in project or task management and interpersonal skills. These courses support the program’s emphasis on technical leadership and applied work.
Review the official University of Cincinnati Artificial Intelligence MEng curriculum.
Capstone and Applied Experience
The degree includes a required Master of Engineering capstone. Students complete 3 to 6 credit hours of approved capstone work, depending on the course and project structure.
UC states that the capstone is built around an authentic industry problem and may be fulfilled as an internship. This applied requirement gives students an opportunity to use machine learning and AI methods on a real technical problem before graduation.
Program Length and Format
UC lists the Artificial Intelligence MEng as a one-year program. The university’s MEng structure can include two semesters of coursework followed by another semester devoted to an internship or capstone project.
The official Artificial Intelligence program page presents this degree as a Cincinnati campus program. UC offers online formats for some MEng degrees, but the university does not currently identify this specific AI MEng as an online program. Students seeking a fully online degree should confirm delivery options directly with UC before applying.
Tuition and Cost
For the 2026–27 academic year, the University of Cincinnati lists standard graduate tuition for Ohio residents at $746 per credit hour for part-time enrollment. The College of Engineering and Applied Science also carries a graduate program fee of $51 per credit hour for part-time students.
That produces a listed part-time Ohio-resident rate of $797 per credit before any other applicable charges.
For full-time graduate enrollment, UC lists standard graduate tuition of $7,451 per term and a CEAS program fee of $504 per term, for a combined listed amount of $7,955 per full-time term before other applicable charges.
Nonresident students may pay an additional surcharge, and actual program cost depends on enrollment pattern and the number of full-time and part-time terms used to complete the degree. Students should use UC’s current tuition schedule when estimating total cost.
View the University of Cincinnati 2026–27 graduate tuition and fee schedule.
Admissions
UC states that applicants should hold a bachelor’s degree in engineering, engineering technology, computer science, or a closely related field and generally have a 3.0 or higher GPA.
The GRE requirement depends on the applicant’s academic background. The program page states that GRE scores are required when an applicant has a GPA below 3.0, does not hold a bachelor’s degree in engineering or computer science, or earned the bachelor’s degree outside the United States.
UC’s graduate admissions FAQ also lists the Artificial Intelligence MEng among programs with GRE requirements for Fall 2026 and Spring 2027, while providing an exemption for qualifying students with a U.S. ABET-accredited bachelor’s degree and a GPA of at least 3.0. Applicants should check the current program-specific rules because GRE policies can change by admission cycle.
International applicants must also meet UC’s English proficiency requirements. The CEAS graduate application fee is currently $75 for domestic applicants and $80 for international applicants.
Review University of Cincinnati graduate admissions information.
What Makes Cincinnati’s AI Program Different?
Direct AI and Machine Learning Curriculum
The degree is specifically named Artificial Intelligence rather than Computer Science or Data Science. Required courses include AI, deep learning, and intelligent systems, and students can build further depth through several machine learning and generative AI electives.
One-Year Professional Structure
UC designed the MEng for students who want to move into technical industry roles quickly. The 30-credit, non-thesis structure can be completed in about one year.
Industry-Focused Capstone
The required capstone focuses on a real industry problem and can be completed through an internship. This gives the program a practical focus that differs from thesis-centered master’s degrees.
Is the University of Cincinnati MEng in Artificial Intelligence Worth Considering?
The University of Cincinnati’s MEng in Artificial Intelligence is a strong option for students who want a short, applied graduate degree centered directly on AI and machine learning.
The curriculum is the main reason to consider it. Students take required courses in artificial intelligence, deep learning, and intelligent systems and can choose from several machine learning, advanced machine learning, generative AI, and information retrieval electives.
The one-year structure and applied capstone also make the program attractive for students focused on industry careers rather than academic research.
The main tradeoff is that students looking for a thesis, a research-focused master’s path, or a clearly documented fully online option may prefer another program.
Who Is This Program Best For?
Best for: Students with engineering or computer science backgrounds who want a focused, one-year professional master’s degree with substantial machine learning and AI coursework.
Consider another program if: You want a thesis-based research degree, a clearly established fully online format, or a longer program with more room for academic specialization.
Related Machine Learning Programs
Students comparing Cincinnati with other programs can also review machine learning master’s programs in Ohio.
- Case Western Reserve University - Cleveland
- Kent State University - Kent
- Tiffin University - Tiffin