Objectives

Core Courses

Elective Courses

Curriculum

The curriculum of this program is designed to cover a broad spectrum of subjects, including:

1. Computer Science Fundamentals: Courses in programming languages, data structures, algorithms, databases, and computer networks form the core of the computer science component.

2. Artificial Intelligence: Specialized AI courses cover machine learning techniques, deep learning, reinforcement learning, computer vision, natural language processing, and robotics. These courses delve into the practical applications of AI and train students to develop AI-powered solutions.

3. Mathematics and Statistics:  Strong foundations in mathematics and statistics are crucial for understanding the underlying principles of AI algorithms and models. Courses in Mathematics, Descrete Mathematics, and statistics are usually included.

4. Software Engineering: Students learn about software development methodologies, software design patterns, and project management. These skills are essential for building robust and scalable AI applications.

5. Ethics and Social Implications: As AI technologies have significant societal impacts, courses on ethics, privacy, and the responsible use of AI are often included to encourage students to consider the ethical dimensions of their work.

6. Electives: Students can often choose elective courses based on their interests, such as natural language processing, computer vision, autonomous systems, and more advanced AI topics.

Infrastructure

Hands-on experience is a crucial aspect of the program. Students work on programming assignments, projects, and labs that involve implementing AI algorithms, building AI models, and analyzing real-world data. Many programs also offer opportunities for internships and industry collaborations, allowing students to apply their skills in real-world scenarios.

Job Opportunities

Academic Requiremnts