Artificial intelligence engineering, MS program
Eleven concentration options that prepare you to innovate with the latest AI technologies
AI is for all engineers
The use of Artificial Intelligence, or AI, approaches, including machine learning, natural language processing, computer vision, robotics, pattern recognition, etc., is becoming widespread in many fields including all engineering disciplines.
Students in this program will learn how to develop and customize relevant AI approaches, such as those mentioned above, to engineering problems within their concentration.
Graduates from this program will understand AI systems and how they are created or used both technically and within society. Graduates will know how these systems/tools work “under the hood” so that they can make them effective and ethical.
All students in the MS in AI Engineering degree will be admitted to one of our concentrations, depending on their interest and background.
Choose your path
The Fulton Schools’ artificial intelligence engineering master’s degree program is flexible. With several concentrations, you can find an area of interest that aligns with your bachelor’s degree as well as your career interests.
Artificial intelligence engineering, MS concentration choices are the following:
Aerospace engineering concentration
Learn the advanced skills needed to apply artificial intelligence and machine learning in aerospace engineering.
Chemical engineering concentration
Learn the advanced skills needed to apply artificial intelligence and machine learning in chemical engineering.
Electrical engineering concentration
Develop specialized expertise in applying AI and machine learning to electrical engineering challenges.
Human-centered artificial intelligence concentration
Gain advanced knowledge in integrating AI and machine learning into human-centered systems, with a strong emphasis on human factors in engineering.
Intelligent Biomedical Systems concentration
Develop specialized expertise in applying AI and machine learning to biomedical systems and clinical engineering challenges.
Manufacturing concentration
Students learn how to develop AI tools, including machine learning, computer vision and natural language processing, to make production processes more efficient.
Materials science and engineering concentration
Learn how to use AI and machine learning in materials science and practical applications.
Mechanical engineering concentration
Build the skills to implement AI and machine learning in mechanical engineering applications.
Learn the advanced skills needed to apply artificial intelligence and machine learning in industrial engineering, with an emphasis on operations research and decision science.
Master the use of AI and machine learning in robotics by taking cutting-edge AI courses and robotics-focused electives.
Software engineering concentration
Acquire the capabilities to apply AI and machine learning in software engineering.
