MSc in Artificial Intelligence

The Master of Artificial Intelligence (Courses-based) program is intended for working professionals who are eager to enhance their qualifications in order to achieve growth in their careers.

 

Mission

            To provide a high-quality program for Artificial Intelligence aspirants that meets the labor market demands, research trends, and innovation, and contributes to the development of society and industry for achieving the national goals.

 

Program Objectives

1. Independently solve business problems using Artificial Intelligence.

2. Pursue academic excellence through advanced study and continued research leading to professional development.

3. Demonstrate active engagement and leadership to promote professional and organizational goals that address the needs of the community.

 

Program Learning Outcomes

1. Demonstrate an understanding of mathematical concepts, algorithmic principles, and artificial intelligence theoretical knowledge.

2.  Analyze and assess emerging technological developments applied to artificial intelligence.

3.  Design, develop, and optimize Artificial Intelligence algorithms for real-world problems.

4.  Explore and identify learning and technical resources needed to adopt an AI strategy

5.  Present innovative architectural AI designs through strong communication skills.

6. Demonstrate professional ethics and governance, to ensure successful AI project delivery

7. Lead informed, strategic decision-making and augment business performance by integrating key AI management and leadership insights with societal concerns.

 

 Main Tracks

Machine Learning

Computer Vision

 

Duration

Two years (Six Trimesters)

 

Study Plan (45 Credit Hours)

 

				Year 1
	Semester I			Semester II			Semester III
Code	Course Name	CH	Code	Course Name	CH	Code	Course Name	CH
CS 6211	AI Foundations	4	CS 6212	Advanced Machine Learning	4	CS 6221	Deep Learning	4
CS 6111	Mathematical Methods for Computing	4	CS 6231	Computer Vision	4	CS 6213	Feature Engineering and Model Selection	4
		8			8			8
				Year 2
	Semester IV			Semester V			Semester VI
Code	Course Name	CH	Code	Course Name	CH	Code	Course Name	CH
CS 6222	Statistical Learning	4	CS 6214	Time-Series Modeling	4	CS 6241	Capstone Project	5
***	Elective 1	4	***	Elective 2	4
		8			8
				Tracks Electives
Track 1:	Machine Learning					Track 2:	Computer Vision
Code	Course Name	CH				Code	Course Name	CH
CS 6223	Reinforcement Learning	4				CS 6232	3D Imaging and Analysis	4
CS 6224	Natural Language Processing	4				CS 6233	Deep Learning in Computer Vision	4
		4						4