- Program Overview
- Application Information
- Tuition & Fees
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The MS degree in Computer Science (Artificial Intelligence), is one of the first programs of its type in the nation, and provides students with rigorous training in the theories and applications of deep learning and artificial intelligence. Topics include machine learning, statistics, computer vision, natural language processing, and robotics.
The program consists of:
Required Courses (20 units)
– CSCI 561 Foundations of Artificial Intelligence
– CSCI 566 Deep learning and Its Applications
– CSCI 567 Machine learning
– CSCI 570 Analysis of Algorithms
– CSCI 571 Web Technologies
Group Electives – take three courses, one from each group (12 units)
Group 1 (Machine Learning & Deep Learning)
– EE 546 Mathematics of High-Dimensional Data
– EE 588 Optimization for the Information and Data Sciences
– ISE 633 Large-Scale Optimization for Machine Learning
Group 2 (Natural Language Processing & Speech Recognition)
– CSCI 544 Applied Natural Language Processing
– CSCI 662 Advanced Applied Natural Language Processing
– EE 519 Speech Recognition and Processing for Multimedia
Group 3 (Computer Vision & Robotics)
– CSCI 445 Introduction to Robotics
– CSCI 545 Robotics
– CSCI 677 Advanced Computer Vision
– EE 569 Introduction to Digital Image Processing
NOTE: Students may use units of CSCI 599 or CSCI 699 toward the group elective requirements with department approval.
International Students: This program is eligible for the OPT STEM extension.
Please Note: Requirements for graduation, course offerings, course availability, track offerings, and any other degree requirements are subject to change. Students should consult with an academic advisor prior to registering for any classes.
- A minimum of 32 units is required to earn the MS in Computer Science – Artificial Intelligence degree
- A minimum cumulative GPA of 3.0 is required for graduation