MSc in Artificial Intelligence

The Master of Artificial Intelligence program (Course-based) is thoughtfully designed to meet the needs of individuals seeking rewarding job prospects and working professionals aiming to advance their qualifications and elevate their careers in the fast-evolving field of artificial intelligence.

 

Bullseye with solid fillMission

            We aim to offer a top-notch program tailored to individuals aspiring to specialize in artificial intelligence. This program is designed to meet the evolving demands of the labor market, stay abreast of the latest research trends, foster innovation, and play a pivotal role in advancing society and industry, thereby contributing to the achievement of national goals.

 

Target with solid fillProgram 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.

 

Clipboard Checked with solid fillProgram 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.

 

Settings with solid fill

 Main Tracks

Machine Learning

Computer Vision

 

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Duration

Two years (Four Semesters)

 

Monthly calendar with solid fill

Study Plan (33 Credit Hours)

 

 

 

Year 1 

 

 

 

Semester I

 

 

Semester II

 

Code

Course Name

CH

Code

Course Name

CH

CS 6211

AI Foundations

3

CS 6221

Deep Learning

3

CS 6111

Mathematical Methods for Computing

3

CS 6213

Feature Engineering and Model Selection

3

CS 6212

Advanced Machine Learning

3

CS 6231

Computer Vision

3

   

9

   

9

           

 

 

Year 2

 

 

 

Semester III

 

 

Semester IV

 

Code

Course Name

CH

Code

Course Name

CH

CS 6222

Statistical Learning

3

***

Elective 2

3

***

Elective 1

3

CS 6241

Capstone Project

3

CS 6214

Time-Series Modeling

3

 

 

 

   

9

   

6

           
 

 

Tracks Electives

 

 

Track 1:

Machine Learning

 

Track 2:

Computer Vision

 

Code

Course Name

CH

Code

Course Name

CH

CS 6223 

Reinforcement Learning

3

CS 6232 

 3D Imaging and Analysis

3

CS 6224 

Natural Language Processing

3

CS 6233 

 Deep Learning in Computer Vision

3