B.E Computer Science and Engineering (AI & ML) – ACT

Course Overview

This specialization integrates machine learning, artificial intelligence, and data analytics with a Design Thinking approach. Students learn to develop intelligent computing systems and AI-based applications that solve real-world challenges.

What You Will Learn

Students gain expertise in machine learning algorithms, AI applications, data mining, predictive analytics, and natural language processing, combining theoretical knowledge with practical problem-solving.

Subjects Offered

Core subjects include Artificial Intelligence, Machine Learning, Data Mining, and Neural Networks, providing the foundation for advanced AI and ML applications.

Teaching Methodologies

Learning occurs through AI laboratories, programming exercises, research-based AI projects, and industry expert sessions to ensure hands-on experience and applied knowledge.

Curriculum Highlights

Students develop AI-based applications, implement machine learning projects, and engage in industry-driven AI case studies, fostering innovation and applied technical skills.

Co-Curricular Activities

Participation in AI hackathons, machine learning workshops, and research seminars enhances creativity, technical skills, and industry exposure.

Career Opportunities

Graduates may become AI Engineers, Machine Learning Engineers, Data Scientists, or AI Research Engineers in IT, research, and analytics industries.