Master of Science in Artificial Intelligence
2 Year Program – 6 Semesters – 3 Semester per January, May
and September
45 Credit Hours (39 Courses + 6 Capstone projects)
Year 1
Semester 1
- Probability and Statistics for Artificial Intelligence
- Introduction to Artificial Intelligence
- Software Engineering
Semester 2
- Algorithm Design and Analysis
- Data Analytics and Machine Learning Fundamentals
- Computer Vision
Semester 3
- Computer Vision
- Neural Networks and Deep Learning
Year 2
Semester 4
- Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support
- Ethics in Artificial Intelligence
Semester 5
- Robotics
- Internet of Things
Semester 6
- Applications of Artificial Intelligence and Big Data
- Capstone Project
Examination Expectations for Each Course
Preparation Courses
Assignments
Assignments will be held throughout the course and weigh 60% of the course’s grade.
Proctored Final Exam
The final Exam will weigh 40% of the course’s grade. It will be structured similarly to the official certification exam for each corresponding course. The Faculty will change the mock Exam’s structure depending on the actual Exam.
Core & Elective Courses
Quizzes
Quizzes will be held throughout the course and weigh one-third of the course’s grade.
Assignments
Two assignments will be held during the course and weigh one-sixth of the course’s grade each.
Proctored Final Exam
The final Exam will weigh one-third of the course’s grade each.
Capstone Course
Instructors will assign the weight of each portion of the dissertation and evaluate it accordingly.