Artificial Intelligence (BS)

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The Artificial Intelligence BS program is designed to give students a comprehensive framework for artificial intelligence with special attention to broad AI topics including machine learning, embedded AI, edge AI & IoT, robotics & human-centered AI, smart manufacturing & industry 4.0, augmented and virtual reality, AI and software engineering, and AI and cybersecurity.

Students will engage in an extensive core intended to develop depth in all core concepts that build a foundation for artificial intelligence theory and practice. They will also be given the opportunity to build on this core knowledge of AI by taking a variety of elective courses selected from CIT units to explore key contextual areas or more complex technical AI applications.

Program graduates will be well positioned to be sought-after employees with top companies in a variety of industries in this rapidly growing AI field, or to progress into advanced degrees in related fields.

Prerequisites

Requirements

Eighty-eight credits as follows:

E. Professional Track of Choice (12 credits)

Three courses from one of the following tracks:

Machine Learning

ARI 420 - Edge AI (4)
ARI 460 - Embedded AI (4)
CYB 400 - Machine Learning for Cybersecurity (3)
DSC 387 - Data Mining Algorithms and Applications (4)
SWE 420 - Software Engineering for AI Systems (3)

Embedded Artificial Intelligence

ARI 460 - Embedded AI (4)
EGR 369 - Embedded Systems (4)
ITI 420 - Advanced Embedded Systems (3)
SWE 470 - Automotive Software Engineering (Software Defined Vehicle) (4)
SWE 476 - Software Virtualization (4)

Edge AI and IoT

ARI 420 - Edge AI (4)
CSC 335 - Computer Networks I (4)
CYB 301 - Enterprise and Cloud Security (4)
SWE 310 - Cloud Development (4).
SWE 440 - IoT System Design (4)
SWE 470 - Automotive Software Engineering (Software Defined Vehicle) (4)
SWE 476 - Software Virtualization (4)

Robotics and Human-Centered AI

CSC 310 - Human-Computer Interaction (4)
CSC 448 - Image Processing and Computer Vision (4)
EGR 330 - Engineering Circuit Analysis (4)
EGR 398 - Robotics (4)
HCD 401 - User Experience Design (4)
HCD 402 - User Experience Research (4)
HCD 403 - Prototype Evaluation & Usability Testing (4)
HCD 423 - Human-AI Interaction (4)
HCD 426 - Human-Robot Interaction (4)
HCD 440 - Automotive User Experience (4)
IOE 311 - Ergonomics (3)

Smart Manufacturing and Industry 4.0

Augmented and Virtual Reality

CSC 355 - Game Development (4)
HCD 423 - Human-AI Interaction (4)
HCD 426 - Human-Robot Interaction (4)
HCD 430 - UX Design & Research for AR/VR (4)
HCD 435 - AR/VR Development (4)
HCD 440 - Automotive User Experience (4)
HCD 455 - Game Design Foundations (4)

AI and Software Engineering

AI and Cybersecurity

CYB 301 - Enterprise and Cloud Security (4)
CYB 303 - Security Operations (4)
CYB 326 - Principles of Secure Software Development (4)
CYB 330 - Wireless and Mobile Systems Security (4)
CYB 336 - Ethical Hacking (4)
CYB 378 - Network Security and Cryptography (4)
CYB 386 - Digital Forensics (4)
CYB 400 - Machine Learning for Cybersecurity (3)
CYB 440 - Data Science for Cybersecurity (4)

Additional Requirements

All requirements for the College of Innovation and Technology Bachelor of Science degree, including General Education , and all University of Michigan-Flint graduation requirements .

Minimum Credits For the Degree: 120 credits

Honors Program

All bachelor-degree-seeking students with GPAs of 3.5 or higher are eligible to apply to the University of Michigan-Flint Honors Program. Please contact the Honors Program Manager or the Honors Program Director for further information.