Artificial intelligence is perhaps the most influential technology currently changing and challenging our social and cultural environments. Through this MS in AI program, students will be front and center in discovering innovative ways to shape the future and engage with those challenges. The curriculum includes in-depth instruction and exploration of social and ethical challenges inherent in AI advances. Students can choose from a number of specializations in AI to customize their program.
The objective of the MS in AI is to train AI engineers who can:
- Understand representations, algorithms and techniques used across works in artificial intelligence and be able to apply and evaluate them in applications as well as develop their own
- Understand and apply machine-learning techniques, in particular to draw inferences from data and help automate the development of AI systems and components
- Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether to improve overall integrated system performance, improve AI performance, or influence human performance and learning
- Understand ethical concerns in developing responsible AI technologies
- Implement AI systems, model human behavior, and evaluate their performance
Admission Information
The Graduate Programs Office serves as the primary source of information for all prospective graduate students, providing detailed guidance and resources to facilitate the application process. Up-to-date and comprehensive details regarding admissions procedures, requirements and deadlines can be found on the program page on the Graduate Programs website.
Fast Track Options
Students with undergraduate degrees in non-technical fields may need to demonstrate proficiency with algorithms, object-oriented programming, and data structures to qualify for admission to a computing related MS program. The following two options are in place to qualify for admission to UM-Flint graduate programs in CIT:
Non-Credit Certificates
CIT offers a non-credit certificates in three areas of preparation: Algorithms, Programming, and Data Structures. Students must pass the certificate tests with scores of 85% or better, and provide proof of successful completion to the Graduate Programs office. Each of these guided self-study certificates are not for academic non-credit, are guided self-study of the topics, and takes approximately 4 weeks to complete per certificate.
Undergraduate Courses
For students with bachelor’s degrees in non-computing disciplines, the department offers an accelerated “Fast Track” program consisting of one or more of the courses listed below depending on transcript evaluation. This allows students from any background to prepare themselves for success in the MS ARI program. Students must earn a grade of C (2.0) or better in each individual Fast Track course and must maintain a B (3.0) or better cumulative grade point average in all Fast Track courses.
Transfer of Credit
With approval of the CSIS Graduate Committee, students may transfer in, or elect as a graduate non-candidate for degree (NCFD), up to six credits of graduate-level courses in computer science and information systems. See Transfer of Credit in the Graduate Study section for additional information on University of Michigan-Flint policies regarding the transfer of graduate credit.
Time Limit for Degree Completion
All requirements must be completed within six calendar years of initial enrollment in the program.
Academic Rules & Regulations
See the College of Innovation and Technology (CIT), College of Innovation and Technology Graduate Programs, and Graduate Study sections for rules and regulations pertaining to all CIT graduate programs.
