Check out this article if you need to discover details about artificial intelligence ms. Are you tired of spending endless time looking for relevant information online? That’s exactly why this article is what you need.

All you have to do is read on to get up to date and verified information on artificial intelligence masters online,msc artificial intelligence,masters in artificial intelligence eligibility,msc artificial intelligence online,masters in artificial intelligence canada,msc artificial intelligence cambridge,masters in artificial intelligence in india,msc artificial intelligence and machine learningon Koboguide.

Additionally, you will find posts on the following subjects on Collegelearners.

MS in Artificial Intelligence

Artificial Intelligence (AI) is an area of study that explores how to create computer programs that learn to make decisions, reason about data, and communicate with humans. In the MS in AI degree program, students learn to apply creative thinking, algorithmic design, and coding skills to build modern AI systems. Students will gain deep technical training and expertise in our focus areas of machine learning, computer vision, and natural language processing.

The program prepares students to work as Artificial Intelligence Engineers in information technology companies or pursue a PhD in computer science.

The 8-course (32-credit) MS in AI program is geared toward students with a computer science undergraduate degree, but we also welcome those with equivalent training and experience, as well as students with gaps in their computing background but strong academic records overall.

Learning Outcomes

Students who complete the MS in AI program will be able to demonstrate:

• An understanding of the fundamental design mechanisms, algorithms, and state-of-the-art system architectures in AI, along with knowledge of the core areas of AI, including machine learning, natural language processing, and computer vision.
• The ability to convert descriptions of abstract AI challenges into descriptions of specific AI project requirements.
• The ability to apply creative thinking, algorithmic design skills, and coding skills to build modern AI systems.
• The ability to identify well-defined performance metrics of the AI system.
• The ability to design and run experiments to validate and enhance software performance.
• The ability to work in teams of software engineers.

Course Requirements

1. Core courses:

• GRS CS 640 Artificial Intelligence
• CAS CS 542 Machine Learning
• CAS CS 585 Image and Video Computing
• CAS CS 505 Introduction to Natural Language Processing

2. At least one course from List A:

• CAS CS 504 Data Mechanics
• CAS CS 506 Computational Tools for Data Science
• CAS CS 562 Advanced Database Applications
• CAS CS 565 Algorithmic Data Mining
• CAS CS 660 Graduate Introduction to Database Systems

3. Additional electives from Lists A, B, or C, selected in consultation with the student’s advisor.

List B includes all CAS 500+ and GRS courses in computer science. List C includes AI-related courses offered by another department with the permission of the Director of Graduate Studies.

Students who have already taken courses equivalent to any of the required core courses can substitute other appropriate electives, with the approval of their advisor and the Director of Graduate Studies.