Overview

The online MS in Applied Artificial Intelligence degree from Lebanese American University trains professionals to evaluate, apply, and advance AI techniques to address real-world challenges across industries. With customizable electives in Business and e-Commerce, Healthcare, and Digital Humanities, the program introduces the latest AI tools to help students meet growing workplace demands.

Designed for working professionals, this two-year program delivers essential, applicable AI skills through an online classroom accessible on one’s schedule. As one completes courses focused directly on one’s career path, there are opportunities to discuss concepts with educators and classmates to reinforce learning.

Upon graduation, one will be prepared to excel as an AI leader capable of qualitative evaluation and application of AI to drive innovation. With expertise in the most up-to-date technologies, one will be equipped to guide one’s business towards greater success by implementing data-driven solutions.

Mission

The mission of the MS in Applied Artificial Intelligence program is to prepare professionals to ethically lead and advance the integration of artificial intelligence across industries. Through real-world applications focused on evaluating and applying the latest AI technologies, the program aims to produce innovative thinkers ready to guide their organizations in leveraging AI to solve problems and develop data-driven solutions. Core to our mission is equipping students to critically assess AI capabilities and implications to determine its optimal use in augmenting products, services and workflows to shape the future role of AI across society.

Program Objectives

The program aims to provide students:

1. Equip graduates with advanced knowledge and skills in applying Artificial Intelligence techniques, enabling them to advance their careers.
2. Prepare graduates for a career shift into Artificial Intelligence within their professions.
3. Provide graduates with the ability to pursue their Doctoral studies in artificial intelligence related to their field of expertise and professional development.

Admission Requirements

The requirements for admission include having earned a bachelor’s degree from a regionally accredited institution. The bachelor’s degree final cumulative GPA must be at least 2.5 on a 4.0 scale or its equivalent. The candidate’s work history, and other personal qualities will be considered if the GPA requirement is not met.

Applicants from programs where English is not the language of instruction must submit proof of proficiency by passing either IELTS, TOEFL iBT, or Duolingo English Test with the minimum scores respectively of 6.5, 80, and 115.

Curriculum

A total of 30 credits are required as follows:

• Core Requirements (21 credits)
• Elective Courses (9 credits)

Core Requirements (21 credits)

• AAI601O Mathematics for Applied AI (3 credits)
• AAI602O Programing for Applied AI (3 credits)
• AAI611O Machine Learning Fundamentals and Applications (3 credits)
• AAI612O Deep learning and its Applications (3 credits)
• AAI613O Computer vision and its Applications (2 credits)
• AAI614O Data Science and its Applications (3 credits)
• AAI615O Ethics and AI (1 credit)
• AAI698O Project in Applied AI (3 credits)

Elective Courses (9 credits)

• AAI631O Data Visualization (Cross-Listed with CSC668) (3 credits)
• AAI632O Big Data Analytics (Cross-Listed with BDA815O) (3 credits)
• AAI641O Healthcare Analytics (Cross-Listed with BDA818O) (3 credits)
• AAI642O AI for Biomedical Informatics (3 credits)
• AAI643O AI for Medical Diagnosis and Prediction (3 credits)
• AAI651O AI Methods for Natural Language Processing (3 credits)
• AAI652O AI for Digital Humanities (3 credits)
• AAI653O AI Driven Design Thinking (3 credits)
• AAI681O Special Topics in Applied AI (3 credits) (*)
• AAI699O Thesis in Applied AI (3 credits)

Tracks

1. AI in Business and e-commerce
2. AI in Healthcare
3. AI in Digital Media