BSc. Artificial Intelligence & Machine Learning
A future-ready program designed to meet evolving industry and technology demands.
Why Bsc AI & ML?
Artificial Intelligence and Machine Learning are at the core of modern technological advancement. From self-learning algorithms and intelligent automation to predictive systems and robotics, AI & ML are transforming how industries operate and innovate. This programme prepares students to design, develop, and deploy intelligent systems that learn from data and improve over time.
About Bsc AI & ML
Artificial Intelligence and Machine Learning are at the core of modern technological advancement. From self-learning algorithms and intelligent automation to predictive systems and robotics, AI & ML are transforming how industries operate and innovate. This programme prepares students to design, develop, and deploy intelligent systems that learn from data and improve over time.
Program Overview
The B.Sc. Artificial Intelligence and Machine Learning programme offers a comprehensive curriculum designed to build expertise in intelligent system design and learning algorithms......
Key Focus Areas
Industry Alignment
Curriculum aligned with current industry needs and emerging AI trends
Research Orientation
Encourages innovation experimentation and research-based learning in AI and ML
Strong Core Foundations
Focus on mathematics statistics algorithms and computational thinking
Problem-Solving & Innovation
Develops analytical model-building and real-world problem-solving skills
Our Faculty
More Faculty »Frequently Asked Questions
Find answers to common questions about our Bsc AI and ML program
Candidates must have completed 10+2 or equivalent examination and secured a minimum of 50% aggregate marks.
The B.Sc. Artificial Intelligence and Machine Learning is a 3-year undergraduate programme divided into 6 semesters, with each semester comprising academic instruction followed by examinations.
- Graduates can pursue careers as:
- Machine Learning Engineer
- AI Engineer
- Data Analyst
- Deep Learning Specialist
- AI Research Associate
- Robotics & Automation Engineer
- AI Product Developer
Program Features
Hands-On Learning
Extensive laboratory sessions, coding assignments, and AI/ML projects focused on real-world applications.Industry Exposure
Value-added courses and expert sessions conducted in collaboration with industry professionals.Project to Product Approach
Project-based learning with opportunities to convert innovative ideas into deployable solutions and support for patent filing.Research & Innovation Culture
Encourages participation in research publications, hackathons, and AI innovation challenges.Curriculum and Industry Integration
A well-balanced framework combining academic rigor with practical exposure.
University Curriculum:
The programme follows the curriculum prescribed by Bharathiar University, ensuring academic standards and structured progression.
Industry Integration:
To bridge the skill gap, the department offers Value-Added Courses (VACs) in collaboration with industry partners, focusing on applied AI and ML technologies.
Electives
Elective I (Choose any one):
- Business Data Analytics
- Social Network Analysis
- Software Agents
Elective II (Choose any one):
- Artificial Neural Networks and Fuzzy Systems
- Web Application Security
- Fundamentals of Robotics
Elective III (Choose any one):
- Embedded Systems
- Principles of Secure Coding
- Open Source Software
Project-Based Learning Structure
Phase I – Capstone Project (Semester 4)
Problem identification, domain study, and solution design using AI/ML concepts.
Phase II – Capstone Project (Semester 6)
Model development, algorithm implementation, and performance evaluation.
Final – Main Project (Semester 6)
A comprehensive AI/ML project integrating concepts from the entire programme to build intelligent, real-world solutions.
Value-Added Courses (VACs)
- Machine Learning with Python
- Deep Learning & Neural Networks
- AI-Powered Full Stack Development
- Cloud Computing & MLOps
- Robotics Process Automation
- Data Analytics & Visualization
Skills and Development Opportunities
Technical Skills Acquired:
Artificial Intelligence
Machine Learning & Deep Learning
Python Programming
Data Analytics
Cloud Computing
Computer Vision & NLP
Career Readiness Activities:
Aptitude and interview preparation
Resume and portfolio development
Research paper writing workshops
Industry expert talks and technical seminars
Yes. The department offers 100% placement assistance through a dedicated placement cell that conducts campus recruitment drives, pre-placement training, mock interviews, resume workshops, and continuous industry engagement.
Department Events
Academic Collaborations
