Artificial Intelligence & Machine Learning
The Program of Artificial Intelligence and Machine Learning offer a four-year Bachelor of Technology (B.Tech.) degree aimed at equipping students for the dynamic field of intelligent technologies. Introduced from the Academic Year 2026–27, the program has been designed to meet the increasing industry demand for AI and ML professionals. This program integrates computer science, mathematics, statistics, and engineering to create systems that can learn from data and make autonomous decisions. AI and ML are pivotal in various applications including virtual assistants, self-driving cars, and healthcare diagnostics. The department emphasizes a solid theoretical foundation and practical experience, preparing students to become skilled professionals and innovators in AI and ML.
Curriculum
The curriculum of Artificial Intelligence and Machine Learning is designed to bridge the gap between theoretical concepts and industry requirements. It focuses on the development of intelligent systems, data-driven applications, and advanced computational models.
The curriculum is further enriched through interdisciplinary courses offered in collaboration with other programs, enabling students to apply AI and ML techniques across diverse domains such as healthcare, finance, manufacturing, agriculture, cybersecurity, and smart cities.
Professional Development Activities for Students
The Program of Artificial Intelligence and Machine Learning addresses the demand for skilled AI professionals by enhancing students’ technical and professional competencies. It encourages participation in competitions, coding contests, research initiatives, and industry collaborations. Regular expert lectures, seminars, and industrial visits expose students to AI trends and applications. Emphasizing holistic development, the program strengthens students’ skills in programming, analytical reasoning, communication, leadership, and teamwork, fostering innovative problem-solvers and ethical AI practitioners who can contribute to society and industry.
To emerge as a center of excellence in Artificial Intelligence and Machine Learning by fostering innovation, research, and ethical practices, and by developing technically proficient, creative, and socially responsible professionals capable of addressing global challenges and contributing to societal transformation.
- To provide quality education in Artificial Intelligence and Machine Learning by integrating fundamental concepts with emerging technologies, enabling students to meet industry and global standards.
- To promote research, innovation, and application of AI/ML techniques for developing intelligent solutions to real-world and societal challenges.
- To cultivate ethical values, social responsibility, and continuous learning skills, empowering students to become responsible professionals in a rapidly evolving technological landscape.
- Graduates will build successful careers in AI/ML, data science, and related domains by applying strong analytical and technical skills.
- Graduates will demonstrate innovation, research capability, and problem-solving skills to address real-world and societal challenges.
- Graduates will exhibit ethical values, teamwork, leadership, and lifelong learning to adapt to evolving technologies.
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
- AI/ML System Design & Development. Graduates will be able to analyze, design, and implement intelligent systems using machine learning, deep learning, and data analytics techniques to solve complex real-world problems.
- Data-Driven Decision Making & Innovation. Graduates will demonstrate the ability to work with large-scale data, apply modern AI tools and technologies, and develop innovative, ethical, and sustainable solutions for industry and society.