Master of Science

in Artificial Intelligence

Lead the Future with Artificial Intelligence

100% Online, 14-Month Program

Program Overview

The Master of Science in Artificial Intelligence is a 39-credit graduate program designed to empower you with the skills to build intelligent systems that simulate human thinking and learning. Delivered in a fully online, synchronous format, this program lets you engage in live evening classes from anywhere in the world, combining flexibility with real-time collaboration. Whether your background is in computer science or another field, our Master of Science in Artificial Intelligence welcomes ambitious learners from all disciplines, providing the foundational knowledge and practical experience needed to thrive in the AI field.

Organizations are eager for professionals who can design AI-driven decision-support systems and smart applications to solve complex problems. In fact, as industries increasingly integrate AI to drive innovation and efficiency, the demand for skilled AI practitioners continues to grow. Our interdisciplinary curriculum covers cutting-edge topics like machine learning, deep learning, computer vision, natural language processing (NLP), robotics, and Internet of Things (IoT) integration. You’ll gain hands-on experience through projects and a capstone, learning to apply AI solutions ethically and effectively across a broad array of real-world scenarios.

Program Highlights

Duration

14 months (full-time student status)

Format

100% online with live (synchronous) classes in the evenings

Credits

39 graduate credit hours

Eligibility

Bachelor’s degree in any discipline

Financial Support

Institutional scholarships available for eligible students

Program Objectives

Upon completing the program, you will be able to:

Understand Core AI Principles: Explain the objectives, origins, and key concepts of artificial intelligence – including what it means for a machine to exhibit intelligence or rationality.
Apply AI Techniques to Solve Problems: Utilize fundamental AI methods (such as search algorithms, machine learning, neural networks, and pattern recognition) to design solutions for complex problems and informed decision-making.
Design Intelligent Systems: Develop and implement AI-driven systems and decision-support tools that efficiently retrieve, manage, and use information, improving outcomes across networks and organizations.
Analyze and Reason with Data: Evaluate real-world problems to determine appropriate AI approaches, and leverage data and knowledge representation techniques for effective decision making, even under uncertainty.
Integrate Ethical Practices: Recognize and address the ethical implications of AI solutions, ensuring responsible use of AI technologies and clearly communicating AI-driven insights to both technical and non-technical stakeholders.

Admission Requirements

Curriculum Overview (39 Credits)

The curriculum blends foundational theory with advanced practical skills across key domains of AI. Courses are taught by experienced faculty and include immersive projects to build your portfolio.

IAR5000 - Computational Intelligence (3 credits): Introduction to AI principles and computational models of intelligent behavior.
IAR5001 - Machine Learning and Deep Learning (3 credits): Algorithms and neural network techniques for learning from data.
IAR5002 - Machine Vision and Pattern Recognition (3 credits): Computer vision techniques and pattern recognition algorithms for interpreting images and signals.
IAR5003 - Intelligent Systems (3 credits): Design of autonomous intelligent agents and AI system architectures.
IAR5004 - Data Science (3 credits): Data analysis, data mining, and information management for AI applications.
IAR5005 - Artificial Cognitive Systems (3 credits): Concepts from cognitive science applied to AI; how machines can mimic cognitive processes.
IAR6001 - Natural Language Processing (3 credits): Techniques for processing and understanding human language data.
IAR6002 - Planning and Approximate Reasoning (3 credits): AI planning methods and reasoning under uncertainty using heuristics and approximation.
IAR6003 - Complex Networks and Mind, Brain & Machines (3 credits): Exploration of complex networks and the intersection of neuroscience and AI (“mind and brain” concepts in machines).
IAR6004 - AI, IoT and Robotics Integration (3 credits): Principles, devices, and infrastructure for applying AI in Internet of Things and robotic systems.
IAR6005 - Decision Making Under Uncertainty (3 credits): Probabilistic models and frameworks for making decisions with incomplete information.
IAR6006 - AI Capstone Project (6 credits): A culminating project where you apply knowledge from the program to solve a substantial real-world AI challenge (completed in the final term).

Note: Courses are not sequential and may be offered in any term within the 14-month program timeline, except for IAR6006, which is scheduled for the final term.

Ready to Take the Next Step? You can get more information about this degree program by completing the form below, send us an email requesting information at info@aslu.education, or chat with us via WhatsApp +1 (689) 280-7848.

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