Master of Science Artificial Intelligence

Program Overview

Lawrence Technological University's Master of Science in Artificial Intelligence (MSAI) program equips students with the skills and knowledge to excel in the rapidly growing field of AI. The program offers a solid foundation in computer science principles, specialized coursework in AI algorithms and techniques, and a capstone project for practical application. Graduates are prepared for careers in various industries, including automotive, healthcare, and software development.

Program Outline

Degree Overview:

The Master of Science in Artificial Intelligence (MSAI) program at Lawrence Technological University is designed to equip students with the skills and knowledge necessary to advance in the rapidly growing field of artificial intelligence (AI). The program provides students with a solid foundation in computer science principles, along with specialized coursework in AI algorithms and techniques. Graduates of the MSAI program will be prepared for careers in a variety of industries, including automotive, healthcare, retail, finance, manufacturing, and software development.

Outline:

The MSAI program consists of 30 credit hours of coursework, including core courses, elective courses, and a capstone project. Core courses cover topics such as:

• Introduction to Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Mining
• Pattern Recognition
Elective courses allow students to specialize in a particular area of AI, such as:
• Connected Vehicle Technologies
• Deep Learning for Engineers
• Software Development for AI
• Digital Signal Processing
• Computer Network Cyber Security
• Embedded Networking
The capstone project gives students the opportunity to apply their knowledge and skills to a real-world problem.

Assessment:

Students in the MSAI program are assessed through a variety of methods, including:

• Exams
• Quizzes
• Projects
• Presentations
• Papers

Teaching:

The MSAI program is taught by a team of experienced faculty members who are experts in their respective fields. Faculty members use a variety of teaching methods, including:

• Lectures
• Discussions
• Hands-on activities
• Group projects

Careers:

Graduates of the MSAI program are prepared for careers in a variety of industries, including:

• Automotive
• Healthcare
• Retail
• Finance
• Manufacturing
• Software Development
Graduates may also pursue careers in research and academia.