(Artificial Intelligence & Machine Learning)
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ABOUT THE DEPARTMENTThe Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) was established in 2020 with an initial intake of 60 students, which has been increased to 120 students from 2025 at the undergraduate level. The department aims to provide high-quality education and research opportunities in the rapidly evolving domains of Artificial Intelligence and Machine Learning. B.Tech. CSE (AI & ML) program is designed to equip students with strong foundations in core computing principles, data structures, algorithms, programming, and software development, along with specialized knowledge in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning and Big Data Analytics. The curriculum integrates theoretical knowledge with practical exposure through laboratories, projects, internships, and industry collaborations. The department focuses on preparing students to develop intelligent systems, data-driven applications, and innovative AI solutions for real-world challenges across various domains such as healthcare, finance, automation, and smart technologies. The department also encourages research, innovation, participation in technical competitions, workshops, and hackathons to enhance students' analytical and problem-solving skills. With experienced faculty members and modern computing facilities, the department strives to produce competent AI professionals and researchers capable of contributing to technological advancements and industry needs. VISION OF THE DEPARTMENTTo evolve into an advanced learning centre of Computer Science and Engineering. MISSION OF THE DEPARTMENT
PROGRAMMES OFFERED:
Programme
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| PEO | Programme Educational Objectives (PEOs) |
| 1 | Apply basic and advanced principles of Mathematics and Statistics, Science, Engineering, Machine learning and Artificial Intelligence in designing and developing solutions for real life problems using modern engineering tools. |
| 2 | Have extensive and effective practical skills in Computer Science and Engineering with focus on Artificial Intelligence and Machine Learning for higher learning and scientific research in multidisciplinary areas. |
| 3 | Engage in professional development through effective communication, teamwork, and entrepreneurship skills and adopt current trends through lifelong learning with encouragement towards ethical values. |
| 4 | Apply design thinking and become more innovative in providing the solutions. |
Program Specific Outcomes(PSOs):
The students must attain the knowledge and skills to
| PSO | Program Specific Outcomes(PSOs) |
| 1 | Design, develop, test and maintain System and Application software in the area of Artificial Intelligence and Machine Learning for varying domains and platforms |
| 2 | Understand the working of related hardware and software for Artificial Intelligence and Machine Learning to design solutions for real time problems. |
| 3 | Design the algorithms to model the automation systems for modernizing contemporary societal, Industrial, organizational and public welfare needs with rational insight. |
Program Outcomes (POs):
By the end of program, the graduate of Computer Science & Engineering(Artificial Intelligence and Machine Learning) will be able to
| PO | Program Outcomes (POs) |
| 1 | Graduates will be able to apply the knowledge of mathematics, science, engineering fundamentals and principles of Computer Science & Engineering to solve complex problems in different domains. |
| 2 | Graduates can identify, formulate, study contemporary domain literature and analyze real life problems and make effective conclusions using the basic principles of science and engineering. |
| 3 | Graduates will be in a position to design solutions for Engineering problems requiring in depth knowledge of Computer Science and design system components and processes as per standards with emphasis on privacy, security, public health and safety. |
| 4 | Graduates will be able to conduct experiments, perform analysis and interpret data as per the prevailing research methods and to provide valid conclusions. |
| 5 | Graduates will be able to select and apply appropriate techniques and use modern software design and development tools. They will be able to predict and model complex engineering activities with the awareness of the practical limitations. |
| 6 | Graduates will be able to carry out their professional practice in Computer Science & Engineering by appropriately considering and weighing the issues related to society and culture and the consequent responsibilities. |
| 7 | Graduates would understand the impact of the professional engineering solutions on environmental safety and legal issues |
| 8 | Graduates will transform into responsible citizens by adhering to professional ethics. |
| 9 | Graduates will be able to function effectively in a large team of multidisciplinary streams consisting of persons of diverse cultures without forgetting the significance of each individual’s contribution. |
| 10 | Graduates will be able to communicate effectively about complex engineering activities with the engineering community as well as the general society, and will be able to prepare reports. |
| 11 | Graduates will be able to demonstrate knowledge and understanding of the engineering and management principles and apply the same while managing projects in multidisciplinary environments. |
| 12 | Graduates will engage themselves in self and life-long learning in the context of rapid technological changes happening in Computer Science and other domains. |
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