Mission

The purpose of the MS in Applied AI program is to train individuals to evaluate, apply, and advance AI techniques in their professional field. Through this program, students will have the chance to use and apply AI skills and tools to address real-world challenges in industries such as social media, healthcare, business, and e-commerce.

Program Educational Objectives

The MS in AAI Program shall:

• Enable professionals to use Artificial Intelligence tools and methods in their fields to solve problems and improve the efficiency of their processes.
• Apply AI techniques to solve real-world problems in business and e-commerce, healthcare, digital humanities, and more.

Student Outcomes

The MS in AAI Program shall:

• Equip graduates with advanced knowledge and skills in applying Artificial Intelligence techniques, enabling them to advance their careers.
• Prepare graduates for a career shift into Artificial Intelligence within their professions.
• Provide graduates with the ability to pursue their Doctoral studies in artificial intelligence related to their field of expertise and profession.  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 Data Science and its Applications (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