About the Course

The B.Sc. (AI & ML) programme is designed to provide students with a deep understanding of computer science fundamentals, artificial intelligence concepts, and machine learning methodologies. The course emphasizes both theoretical knowledge and practical applications, enabling students to design intelligent systems, analyze data, and develop AI-driven solutions.

Graduates are prepared for careers in data science, AI engineering, automation, and research, where computational intelligence plays a transformative role.

About the Curriculum

The curriculum follows the autonomous academic framework and is regularly updated to reflect advancements in AI, ML, and data science. It integrates computer science core subjects with specialized AI and ML modules.

Key areas of study include:

• Fundamentals of Computer Science
• Data Structures and Algorithms
• Probability and Statistics for AI
• Artificial Intelligence Concepts
• Machine Learning Techniques
• Deep Learning and Neural Networks
• Natural Language Processing
• Computer Vision
• Data Mining and Big Data Analytics
• Cloud Computing and AI Deployment
• Ethical AI and Emerging Trends

Hands-on labs, coding assignments, projects, and industry internships form an essential part of the curriculum, ensuring experiential learning.

Vision of the Department

To create globally competent graduates in Artificial Intelligence and Machine Learning who can innovate, lead, and contribute to intelligent technologies for societal and industrial advancement.

Mission of the Department

• To impart strong foundations in computer science and AI methodologies
• To integrate machine learning techniques with real-world applications
• To foster analytical, problem-solving, and research skills
• To prepare students for careers in AI-driven industries and higher education
• To promote ethical, responsible, and sustainable use of AI technologies

Laboratory Facilities

The programme is supported by advanced computer laboratories dedicated to AI and ML training.

AI & ML Laboratory

• High-performance computing systems with GPU support
• Tools for machine learning, deep learning, and data analytics
• Software platforms such as Python, TensorFlow, PyTorch, R, and MATLAB
• Facilities for natural language processing, computer vision, and big data projects
• Internet-enabled systems for cloud-based AI applications

These facilities enable students to experiment, innovate, and apply AI concepts to practical scenarios.

Eligibility Criteria

Candidates seeking admission to the B.Sc. (Artificial Intelligence and Machine Learning) programme must have:

• Successfully completed Higher Secondary (10+2) or equivalent
• Mathematics, Computer Science, or related subjects as qualifying background (preferred)
• Fulfilled eligibility norms prescribed by the institution and university

Admissions are based on merit and institutional guidelines.

Learning Outcomes

Upon completion of the programme, students will be able to:

• Apply AI and ML algorithms to solve real-world problems
• Develop intelligent systems using modern programming tools
• Analyze and interpret large datasets for decision-making
• Implement deep learning models for vision and language tasks
• Demonstrate professional communication, teamwork, and ethical responsibility

Career Opportunities

Graduates of B.Sc. (AI & ML) can pursue careers in:

• AI Engineer
• Machine Learning Specialist
• Data Scientist
• Business Intelligence Analyst
• Natural Language Processing Engineer
• Computer Vision Specialist
• Research Associate in AI/ML

Higher Education Opportunities

• M.Sc. (Artificial Intelligence / Data Science / Computer Science)
• MCA
• MBA (Technology Management / Business Analytics)
• Professional certifications in AI, ML, Data Science, and Cloud Computing
• Research opportunities in AI-driven domains

The programme provides strong career prospects in industries such as IT, finance, healthcare, e-commerce, robotics, and research.