Description

Master of Science in AI (Artificial Intelligence)

• Master of Science in AI , We’re all experiencing the transformative impact artificial intelligence is having in our everyday lives and to nearly all sectors of the economy.
• Are you prepared to take advantage of the opportunities AI presents in your professional career.
• Leveraging decades of AI expertise, WPI is offering an MS in Artificial Intelligence.
• Through project-based courses and either a capstone or an MS thesis.
• You’ll grow your technical expertise in understanding, developing, deploying.
• And innovating AI techniques and systems with a responsible approach in this rapidly growing area.

Program Highlights:

• WPI’s MS in AI is available on campus or online.
• Program Highlights:

• Build in demand skills sought by employers in machine learning.
• Deep learning, natural language processing, generative AI, robotics planning, computer vision, responsible AI, and much more.
• Benefit from WPI’s deep history of teaching and furthering artificial intelligence innovations.
• Through impactful project work with industrial partners.
• Take advantage of WPI’s interdisciplinary approach and hone your AI skills in courses you are interested.
• In selected from academic units across the entire campus Master of Science in AI .
• Gain real-world experience as you learn to develop, deploy, and innovate with AI techniques.
• And systems in your team-based capstone project working with industrial mentors.
• Customize your degree with thirteen specializations, including AI & Security, AI & Health, AI & Software Systems, and many more.
• Learn from world-class faculty who are industry and scholarly leaders working on cutting-edge research projects in areas critical to our economy and to society.

Curriculum for Master of Science in AI (Artificial Intelligence)

• CS 5007 Introduction to Programming Concepts, Data Structures, and Algorithms
• CS 5008 Introduction to Systems and Network Programming
• CS 5084 Introduction to Algorithms: Design and Analysis
• DS 517/MA517 Mathematical Foundations for Data Science
• DS 501 Introduction to Data Science
• DS 577 Machine Learning for Engineering & Science Applications
• MIS 587 Business Applications in Machine Learning