The B.Sc. in Artificial Intelligence and Machine Learning is a forward-thinking undergraduate program designed to provide students with a robust foundation in AI and ML technologies. This program equips learners with essential knowledge and skills to address real-world challenges, meet the global market demands, and contribute to societal progress through innovation and technological advancements.

The Department of Artificial Intelligence & Machine Learning was established in the academic year 2025-26 with a team of dedicated and well-qualified faculty, experienced technical staff, and enthusiastic students. The department offers the B.Sc. in Artificial Intelligence and Machine Learning program, with a sanctioned undergraduate intake of 40 students.

Achieve academic excellence and research in the field of data science and artificial intelligence at the national and global levels.

The Preparing a highly qualified and specialized staff who keeps pace with modern technology in the field of data science and artificial intelligence, by providing Platform for the students to explore the latest technology in order to meet the need of the global market, develop their skills in research and innovation, and contribute to the development of society and the achievement of national goals

The Department of Artificial Intelligence & Machine Learning boasts state-of-the-art lab facilities designed to provide hands-on learning and practical exposure to emerging AI and ML technologies. These labs are equipped with cutting-edge hardware and software tools, enabling students to develop, test, and deploy AI and ML models effectively.

• Advanced Computing Infrastructure: High-performance computing systems and GPUs to support intensive AI/ML computations and deep learning experiments.
• Specialized Software Tools: Access to industry-standard software platforms like Python, TensorFlow, PyTorch, R, MATLAB, and Jupyter Notebooks for programming and model development.
• Data Science and Analytics Lab: Facilities for data preprocessing, visualization, and analysis using modern tools and libraries.
• IoT and Robotics Lab: Hands-on experience with robotics platforms and IoT devices to implement AI-powered automation solutions.
• Computer Vision and NLP Lab: Dedicated environments to work on image processing, computer vision, and natural language processing projects.
• Collaborative Learning Spaces: Smart classrooms and collaborative workspaces for group projects, brainstorming, and peer-to-peer learning.
• Research and Innovation Support: Facilities for students and faculty to engage in research and innovation projects, fostering creativity and problem-solving skills.

• Explore Cutting-Edge Technologies: Equip students with the expertise to work with emerging technologies in AI and ML, preparing them for dynamic and competitive global industries.
• Promote Research and Innovation: Foster a culture of research, critical thinking, and innovation to develop advanced AI and ML solutions.
• Encourage Entrepreneurship: Empower students to build entrepreneurial skills and create AI-driven solutions to address societal challenges.
• Contribute to Societal Development: Align learning outcomes with national objectives and global goals to positively impact industries, communities, and the economy.

• Students passionate about technology, programming, and problem-solving.
• Individuals aspiring to build careers in Artificial Intelligence, Machine Learning, Data Science, and related fields.
• Learners eager to pursue research, innovation, or entrepreneurial ventures in the technology sector.

• The curriculum is thoughtfully designed to cover a wide range of topics, including:
  • Fundamentals of Artificial Intelligence and Machine Learning
  • Programming Languages for AI and ML (e.g., Python, R, and MATLAB)
  • Data Structures and Algorithms
  • Statistics and Probability for AI
  • Supervised and Unsupervised Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision and Image Processing
  • Reinforcement Learning
  • Big Data Analytics
  • Ethics and Responsible AI
  • AI for Social Good

• Hands-On Learning: Engage in practical, real-world projects and case studies to apply AI and ML concepts.
• Industry-Relevant Curriculum: Collaborations with industry experts to keep the program aligned with technological advancements.
• Research and Development: Opportunities to work on innovative research projects.
• Capstone Project: A final year project to solve real-world problems using AI and ML technologies.
• Internship Opportunities: Gain hands-on experience through industry internships.

• 3 years (6 semesters)

Career Prospects: Graduates of the program will have a wide range of career opportunities in fields such as:

• AI/ML Engineer
• Data Scientist
• Research Scientist
• Software Developer (AI/ML)
• AI Consultant
• Robotics Engineer
• NLP Specialist
• Entrepreneur

This program serves as a gateway for students to embark on a transformative journey, empowering them to lead the future of technology and innovation in Artificial Intelligence and Machine Learning.

School of Computer Science,
The Department of Artificial Intelligence & Machine Learning,
Excel College for Commerce and Science
Komarapalyam-637303
E-mail:ECCSSCCS@excelcolleges.com