B.E. Computer Science and Engineering (Artificial Intelligence & Machine Learning)
UG COURSES
B.E. Computer Science and Engineering (Artificial Intelligence & Machine Learning)
About the Department
It is a cutting-edge program designed to equip students with
advanced knowledge in intelligent systems and data-driven
technologies.
Artificial Intelligence (AI) and Machine Learning (ML) are
transforming industries by enabling machines to learn,
analyze, and make decisions with minimal human intervention.
This program focuses on developing intelligent solutions for
real-world problems across domains such as healthcare,
finance, robotics, automation, and smart systems.
At Cheran College of Technology, the program blends core
computer science fundamentals with specialized AI and ML
concepts, preparing students to meet the evolving demands of
Industry 4.0.
Eligibility Criteria
- Candidates must have completed 10+2 (Higher Secondary) or equivalent
- Must have studied Physics, Chemistry, and Mathematics (PCM)
- Minimum aggregate marks as per Anna University / Government norms
Duration & Structure
Course Duration : 4 Years
Program Type : Undergraduate Degree
Academic Pattern : Semester System (8 Semesters)
The program is structured to build a strong foundation in computing along with advanced AI and ML technologies through progressive learning.
Curriculum Overview
The curriculum is designed as per Anna University guidelines with a focus on Outcome Based Education (OBE) and industry relevance.
AI & ML Specialization Subjects :
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Data Mining
- Big Data Analytics
Core Subjects Include :
- Programming in Python / C
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Computer Networks
Advanced & Emerging Areas :
- Robotics
- Intelligent Systems
- Predictive Analytics
- Neural Networks
- Reinforcement Learning
Practical Components :
- AI & ML Labs
- Real-time Projects
- Mini & Major Projects
- Industry Internships
- Workshops and Technical Seminars
The curriculum ensures hands-on learning with real-world datasets and tools.
Career Opportunities
AI & ML professionals are highly in demand across industries worldwide.
Career Roles :
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist
- AI Research Engineer
- Business Intelligence Developer
- Robotics Engineer
Employment Sectors :
- IT & Software Companies
- Healthcare & Biotechnology
- Finance & Banking
- E-Commerce & Digital Platforms
- Research & Development Organizations
- Startups and Innovation Labs
The program also provides a strong foundation for higher studies and research in AI, Data Science, and related domains.