The department was founded with the vision of preparing students to excel in one of the most transformative and futuristic domains of technology.

Artificial Intelligence and Machine Learning are redefining the way industries, businesses, and society function. Our department is committed to equip the students with strong theoretical foundations, practical skills, and innovative thinking to address real-world challenges through intelligent solutions. The curriculum is carefully designed to provide exposure to cut & edge areas such as Deep Learning, Natural Language Processing, Computer Vision, Data Analytics, and AI for emerging technologies like IoT and Robotics.

We believe in holistic education. Along with academic excellence, we emphasize research, industry collaboration, and project-based learning. Students are encouraged to participate in hackathons, innovation contests, internships, and research activities that nurture their creativity and problem-solving abilities. Our dedicated faculty members, with rich teaching and research experience, guide students to explore new frontiers in AI and contribute meaningfully to society.

R-2023

PEO 1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership. 

PEO 2: Conduct cutting edge research and develop solutions on problems of social relevance.

PEO 3: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

PSO 1: Exhibit design and programming skills to build and automate business solutions using cutting edge technologies. 

PSO 2: Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PO2 : Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3 : 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.

PO4 : 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.

PO5 :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.

PO6 : 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.

PO7 : 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.

PO8 : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 : Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 : 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.

PO11 : 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.

PO12: 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

The field of Artificial Intelligence (AI) and Machine Learning (ML) is one of the fastest-growing domains in today's technology-driven world. With the rise of automation, data-driven decision-making, and intelligent systems, graduates in Computer Science and Engineering (AIML) have vast career opportunities across industries such as IT, healthcare, finance, automotive, manufacturing, agriculture, education, and smart cities.

Students graduating from the Department of Computer Science and Engineering (AIML) can pursue careers in the following roles:-

• AI Engineer Designing and deploying AI-based applications and solutions. Machine Learning Engineer - Building predictive models and self-learning systems.
• Data Scientist / Data Analyst - Extracting insights from big data to support decision-making.
• Computer Vision Engineer - Working on image, video, and facial recognition systems.
• Natural Language Processing (NLP) Specialist - Developing chatbots language translators, and sentiment analysis tools.
• Business Intelligence Analyst - Driving business growth through AI-driven analytics.
• Robotics and Automation Engineer - Designing intelligent robots and industrial automation systems.
• AI Researcher / Scientist – Exploring advanced techniques in deep learning, reinforcement learning, and generative AI.

Apart from industry jobs, Computer Science and Engineering (AIML) graduates can

also:

• Pursue higher studies and research in top national and international universities.
• Venture into entrepreneurship and startups in AI, ML, and Data Science.
• Contribute to interdisciplinary fields, applying AI in healthcare, agriculture, environment, and smart infrastructure.

With continuous advancements in AI, the demand for skilled professionals in Computer Science and Engineering (AIML) is only expected to grow exponentially, offering students a future-proof career with global opportunities.