Master of Science in Artificial Intelligence

at Lawrence Technological University

Modules:
 

• Soft Dev for AI
• Machine Learning
• Digital Signal Processing
• Theory of Computation
• Artificial Intelligence
• Deep Learning for Engineers

• Applicants must have earned a baccalaureate degree from an accredited U.S. institution –or– a non-U.S. degree equivalent to a four-year U.S. baccalaureate degree from a college or university of government recognized standing.
• A Bachelor of Science degree in Electrical and Computer Engineering or Mathematics and Computer Science (or technical related field) (minimum GPA of 3.0)
• Students with a GPA between 2.8 and 3.0 may be admitted on a provisional basis. They will be evaluated for official graduate student status upon completion of pre-core courses, if necessary, and 12 semester hours of required electrical and computer engineering graduate coursework at Lawrence Tech. This evaluation will be conducted by the program director and the Graduate Admissions Committee. Students are notified of their status within two weeks of completion of the minimum required hours.
• Students with a Bachelor of Science degree in a field other than electrical or computer engineering or mathematics and computer science who have a GPA of at least 3.0 may be admitted on a provisional basis. These students must satisfy all prerequisite requirements before they can be granted official graduate status. The program director and the Graduate Admissions Committee decide what the prerequisite requirements are on a case-by-case basis.

International Tuition Fees for Year One:
US $42,600

Continuous AI research and innovation is driving the explosive growth of industry verticals such as:
 

• Automotive
• Healthcare
• Retail
• Finance
• Manufacturing
• Software Development