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Bachelor of Science in Artificial Intelligence

Why Choose the Program?

The Bachelor of Science in Artificial Intelligence at Northridge University provides a cutting-edge education designed to prepare students for the rapidly advancing field of artificial intelligence (AI). This program equips students with the technical skills and theoretical knowledge 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.

Career Opportunities

Graduates of the Forensic Science program are well-prepared for various roles, including:

AI Engineer
Machine Learning Engineer
Data Scientist
Robotics Engineer
AI Research Scientist
Computer Vision Engineer
Natural Language Processing Specialist
AI Consultant
Software Developer
Research and Development Engineer

Program Details

Duration: 4 years (Full-time)
Total Credit Hours: 120 credit hours
Mode of Delivery: Online and On-campus options available
Internship: Mandatory internship for practical experience

Program Highlights

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

  • Hands-on Learning: Includes practical labs, AI simulations, and real-world projects.

  • Internship Opportunities: Gain 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 Options: Offers both online and on-campus classes to accommodate different learning preferences.

Courses in This Program

Core Courses:

  • Introduction to Artificial Intelligence

  • Principles of Management

  • Financial Accounting

  • Business Communication

  • Business Statistics

  • Computer Programming Fundamentals

  • Database Management Systems

  • Networking Fundamentals

  • Cybersecurity Principles

  • Systems Analysis and Design

  • Data Analytics and Visualization

  • AI in IT

  • Blockchain Technology

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  • IT Project Management

  • Operating Systems

  • Web Development

  • Cloud Computing

  • Mobile Application Development

  • IT Ethics and Professionalism

  • IT Service Management

  • Information Systems Strategy

  • Emerging Technologies in IT

  • Business Law

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