Artificial Intelligence is an area of a study aiming to make a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies is to develop intelligent software and systems.

It's no secret that the importance of Artificial Intelligence has been increasing as a growing number of companies are using these technologies to improve their products and services, evaluate their business models, and enhance their decision-making process. The AI program prepares scientists who create intelligent machines and systems, which perform tasks that would normally require human intelligence, like playing games or understanding natural language. Popular examples of Artificial Intelligence (AI) include chess-playing computers or self-driving cars. They rely on neural networks, deep learning, and natural language processing to analyze large amounts of data, find patterns, and make predictions and decisions based on relevant information.

 So  What is natural language processing?

Natural language processing is a form of artificial intelligence (AI) that gives computers the ability to read, understand and interpret human language. It helps computers measure sentiment and determine which parts of human language are important.

In order to graduate from this program, you need to study the following credit hours:

University Requirement: 20 Credit Hours.

Mathematics & Basic Science: 25 Credit Hours.

Computer Science & Engineering: 39 Credit Hours.

AI Science & Engineering: 6 Credit Hours.

Advanced Specially Requirement: 27 Credit Hours.

Project & Training: 10 Credit Hours.

Total: 127 Credit Hours.

The graduate of the Artificial Intelligence Science program has all the modules of graduates of computer science programs.

The graduates have the following characteristics:

• The ability to build software and intelligent agent systems.

• The ability to recognize natural language systems and their implementation.

• The ability to build machine-learning systems, implement them, and measure their performance.

Our graduates have excellent career prospects in the AI industry and beyond. They can pursue jobs as:

• App Developer.
•  Web Developer.
•  Programmer.
•  Data Analyst/Scientist.
• Machine Learning Scientist.

They can also join International companies working in natural languages processing, Smart programming companies, Smart home components manufacturers, or digital transformation companies’ startups.