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Master of Science in Artificial Intelligence

Program Description

The Master of Science in Artificial Intelligence (AI) at Northridge University provides an advanced education designed to prepare students for the cutting-edge field of AI. This program equips students with the theoretical knowledge and practical skills necessary to develop intelligent systems and applications. Our curriculum covers essential topics such as machine learning, neural networks, natural language processing, and robotics. With experienced faculty, state-of-the-art facilities, and real-world internship opportunities, Northridge offers an ideal environment for aspiring AI professionals.

Core Courses

Introduction to Artificial Intelligence
Machine Learning
Neural Networks and Deep Learning
Natural Language Processing
Robotics and Automation
Computer Vision
Data Mining and Big Data
AI Ethics and Governance
Advanced Algorithms
Research Methods in AI

Elective Courses

Reinforcement Learning
AI in Healthcare
Autonomous Systems
Quantum Machine Learning
Advanced Natural Language Processing
Human-AI Interaction
AI for Cybersecurity
Explainable AI
AI in Finance
Internet of Things (IoT) and AI

Program Highlights

  • Comprehensive Curriculum: Covers key areas of AI such as machine learning, neural networks, natural language processing, and robotics.

  • Practical Learning: Emphasizes hands-on experience through labs, AI projects, and real-world applications.

  • Internship Opportunities: Provides practical experience through internships with leading tech companies and research institutions.

  • Experienced Faculty: Learn from experts who bring industry experience and academic excellence to the classroom.

  • Flexible Learning: Offers both online and on-campus classes to accommodate different learning preferences and schedules.

  • Capstone Project: Involves a comprehensive project that allows students to apply their learning to real-world AI problems.

Program Details

Duration: 2 years (Full-time) or 3-4 years (Part-time)
Total Credit Hours: 36-48 credit hours
Mode of Delivery: Online and On-campus options available
Capstone Project: Required for program completion

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