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
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