Department Profile

Welcome to the Artificial Intelligence and Data Science Department! As the world rapidly advances into the era of digital transformation, our field stands at the forefront of this revolution. The skills and knowledge you acquire here will not only shape your future but also drive innovations that can transform industries and improve lives globally.

Our department is committed to providing you with a robust academic foundation, hands-on experience, and opportunities to engage in cutting-edge research. We encourage you to take full advantage of the resources available, from our state-of-the-art labs to the guidance of our dedicated faculty. Embrace the challenges, collaborate with your peers, and strive to push the boundaries of what is possible.

Remember, your journey here is not just about acquiring technical skills; it’s also about developing critical thinking, creativity, and ethical reasoning. These attributes are essential as you prepare to tackle real-world problems and contribute meaningfully to society.

The main goal of the department is to develop algorithms, tools and techniques that enable machines to perform tasks that typically require human intelligence such as language understanding, Image recognition and decision making. The department utilizes Machine Learning, Natural Language Processing, Deep learning other advanced technologies to build intelligent systems that can make predictions, analyses data and automate process.

About Us

 About Us:


The Department of Artificial Intelligence and Data Science represents a cutting-edge academic initiative designed to prepare students for the rapidly evolving technological landscape. Our program combines theoretical foundations with practical applications, creating a unique learning environment that bridges academic knowledge with industry demands. The department has established strong partnerships with leading technology companies, ensuring our students receive exposure to real-world applications and career opportunities. Our industry advisory board helps maintain curriculum relevance and provides valuable insights into emerging trends and technologies. The department will be driven by its commitment to excel in research, design and development of next generation cutting-edge technologies in the area of Artificial Intelligence and Data Analytics.


Department Highlights:

    • B. Tech CSE specialization in Artificial Intelligence and Data Science as Industry Powered the program by IBM in 2024 that enables the strong foundation in computer science with advanced expertise in Artificial Intelligence and Data Science, preparing students to excel in niche technologies.
    • The program is IBM-powered, integrating cutting-edge Artificial Intelligence and Data Science tools and technologies to ensure students gain practical, industry-relevant skills. Students are exposed to the latest tools and frameworks aligned with real-world applications in Artificial Intelligence and Data Science development.
    • Artificial Intelligence and Data Science programs are committed to providing you with a robust academic foundation, hands-on experience, and opportunities to engage in cutting-edge research. 
    • Curriculum designed in line with the National Education Policy 2020, promoting interdisciplinary learning, flexibility, and a focus on holistic development to prepare students for diverse career pathways in Artificial Intelligence and Data Science.
    • Industry powered curriculum aligned with cutting-edge technologies such as Machine Learning, Deep learning, Big data Analytics, IoT, and Cloud Computing, ensuring students are well-versed in the latest advancements in the field.
    • Integration of industry-relevant skills, including critical thinking, problem-solving, teamwork, and communication, alongside technical expertise to enhance students' employability and readiness for the professional world.


Department Strengths:

  • State-of-the-art AI and Machine Learning laboratories equipped with high-performance computing facilities
  • Industry-aligned curriculum incorporating the latest developments in AI, Machine Learning, Deep Learning, and Big Data Analytics
  • Distinguished faculty members with extensive research experience and industry connections
  • Collaborative research opportunities with leading tech companies and research institutions
  • Regular workshops and seminars conducted by industry experts and academic scholars
  • Focus on hands-on project experience through industry internships and capstone projects


Future Scope:

  • High Demand for AI Experts: Industries like healthcare, finance, e-commerce, and manufacturing are rapidly adopting AI.
  • Startups & Innovation: Many students are now founding AI-based startups.
  • AI/ML Engineers
  • Data Scientists
  • Research Scientists
  • Business Intelligence Analysts
  • AI Product Managers
  • Data Analytics Consultants

Vision & Mission


Vision :


To be a global leader in quality education and shaping industry-ready engineers to solve  real-world challenges and lead innovations in the field of Artificial Intelligence and Data Science.


Mission :


To strength core competency in field of Artificial Intelligence and Data science by engaging with industry stakeholder.


To enable graduates to adapt cutting edge technologies through strong fundamentals and applications.


To impart quality education and produce the technology professionals with innovations, and ethical responsibilities.


Program Outcomes

  • 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 Investigation 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 : Ethics: 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 setting.


  • 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: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specifics Outcomes

PSO1: Artificial Intelligence and Data Science graduates design and develop AI technology into innovative products for solving real world problems.


PSO2: Graduates cultivate skills for addressing and solving social and environmental challenges with ethical considerations, while executing multidisciplinary projects using advanced

technologies and tools.


PSO3: Graduates apply Artificial Intelligence and Data Science concepts across various engineering fields, leading to successful careers and entrepreneurial ventures with a focus

on solving societal problems.

Program Educational Objective Outcomes

PEO1: To equip students with practical expertise in cutting-edge technologies, enabling them to develop and deploy Artificial Intelligence and Data Science solutions effectively in

diverse industrial and societal applications.


PEO2: To nurture graduates who can pursue advanced research and contribute to innovative developments in Artificial Intelligence and Data Science, addressing real-world challenges through creative and analytical approaches


PEO3: Graduate will understand the contemporary research issues in different areas of Computer Science & Engineering and explore research gaps, analyse and carry out research in the specialised /emerging areas.

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