Course Description

The Department of Computer Science and Engineering with specialization in Artificial Intelligence [CSE (AI)] at KIET Group of Institutions is a powerhouse of academic innovation and industry-aligned learning. With an annual intake of 240 students, the department is shaping the future of intelligent technologies by preparing students to lead in AI-driven industries.

Our curriculum focuses on high-demand technologies with Core Computing Concepts with focus on Artificial Intelligence, deep learning, computer vision, natural language processing, robotics, and AI ethics. Students gain hands-on experience with industry-standard platforms under the guidance of expert faculty, combining academic depth with practical execution.

At the core of the department is the Center of Excellence (COE) for Supercomputing, featuring the cutting-edge NVIDIA DGX A100 system. This powerful infrastructure supports advanced research and AI-driven development across domains like generative AI, high-performance computing, NLP, and intelligent automation. Through regular workshops, certifications, and faculty development programs, the COE fosters a vibrant research culture and continuous innovation.

The department boasts an impressive 90% placement record, with students receiving offers from top companies such as CISCO, JusPay, Service Now, WallMart, BNY, Accenture, Capgemini, RapiPay, Innovacer, Tech Mahindra, Cognizant, Junglee Games, Pocket FM, GPU.net, VRV Security, Infosys, Contentstack, InfoEdge.. The highest package offered has reached ₹60 LPA, and many others in the category of ₹9–30 LPA, reflecting the strong industry alignment of the program.

This is not just a program, it’s a platform to innovate, collaborate, and excel. From national hackathon victories to patents, research papers, and live GitHub-deployed projects, our students are making their mark well before graduation.

Why Choose CSE(AI) at KIET?
  • Future-proof curriculum covering AI, ML, DL, NLP, Computer Vision, Generative & Agentic AI, and AI ethics.
  • Specialized learning paths from 3rd semester: AI & Data Science, Cloud & Security, or Full Stack DevOps.
  • Industry-integrated program with live projects, internships, industrial visits, and collaborations with tech companies.
  • Hands-on training on top tools: TensorFlow, Keras, Anaconda, PyCharm, Azure ML, Python, Julia, and more.
  • Research-oriented faculty with strong backgrounds in AI/ML, guiding students through papers, patents, and projects.
  • Modern teaching pedagogy: blended & project-based learning, design thinking, GitHub deployment, and industry assessments.
  • Student innovations recognized in SIH 2024, Innotech 2024, and projects like AutoDom, Signify, and Netra Mitra.
  • Over 19+ final-year project teams delivering real-world AI solutions and research outputs.
  • Strong career prospects with roles in AI/ML, Data Science, Full Stack, Computer Vision, NLP, and more.
  • Graduates placed globally across top companies and domains like healthcare, fintech, robotics, defense, and sustainability.

Vision

    To emerge as a globally competent leader by fostering industry-linked, innovative learning and impactful research in Computational Intelligence.

    Mission

    • To develop students with strong foundation of computer science with focus on Artificial Intelligence and other emerging technologies through outcome-based teaching learning process.
    • To collaborate with industry for skill enhancement of teaching professionals and students emphasizing on project-based learning.
    • To prepare ethically strong students with powerful leadership skills.

    Program Outcomes

    • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
    • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
    • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
    • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
    • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
    • PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
    • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
    • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
    • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
    • PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
    • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for (i) Independent and life-long learning (ii) Adaptability to new and emerging technologies and (iii) Critical thinking in the broadest context of technological change. (WK8)

    To be updated soon!

    Publications & Research

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      Publications & Research

      Class Room

      To be updated soon!

      Labs

        Faculty and Staff

        Dr. Shelly Gupta
        Dr. Shelly Gupta

        Associate Professor

        shelly.gupta@kiet.edu

        Dr. Sapna Juneja
        Dr. Sapna Juneja

        Professor

        sapna.juneja@kiet.edu

        Dr. Puneet Garg
        Dr. Puneet Garg

        Associate Professor

        puneet.garg@kiet.edu

        Dr. Richa Singh
        Dr. Richa Singh

        Assistant Professor

        richa.singh@kiet.edu

        Mr. Abhishek Kumar
        Mr. Abhishek Kumar

        Assistant Professor

        abhishek.kumar.ai@kiet.edu

        Mr. Anurag Gupta
        Mr. Anurag Gupta

        Assistant Professor

        anurag.gupta.ai@kiet.edu

        Ms. Gargi Singh
        Ms. Gargi Singh

        Assistant Professor

        gargi.singh@kiet.edu

        Mr. Gagan Kumar Singh
        Mr. Gagan Kumar Singh

        Assistant Professor

        gagan.singh@kiet.edu

        Ms. Anjali Chauhan
        Ms. Anjali Chauhan

        Assistant Professor

        anjali.chauhan@kiet.edu

        Ms. Ruchika Mavis Daniel
        Ms. Ruchika Mavis Daniel

        Assistant Professor

        ruchika.daniel@kiet.edu

        Ms. Aastha Gupta
        Ms. Aastha Gupta

        Assistant Professor

        aastha.gupta@kiet.edu

        Mr. Ajay Singh
        Mr. Ajay Singh

        Assistant Professor

        ajay.singh.ai@kiet.edu

        Ms. Kumud Alok
        Ms. Kumud Alok

        Assistant Professor

        kumud.alok@kiet.edu

        Mr. Mukesh Lomror
        Mr. Mukesh Lomror

        Assistant Professor

        mukesh.lomror@kiet.edu

        Ms. Preeti Verma
        Ms. Preeti Verma

        Assistant Professor

        preeti.verma@kiet.edu

        Dr. Gaurav Srivastav
        Dr. Gaurav Srivastav

        Assistant Professor

        gaurav.srivastav@kiet.edu

        Mr. Bikki Kumar
        Mr. Bikki Kumar

        Assistant Professor

        bikki.kumar@kiet.edu

        Mr. Shivansh Prasad
        Mr. Shivansh Prasad

        Assistant Professor

        shivansh.prasad@kiet.edu

        Ms. Priyanka
        Ms. Priyanka

        Assistant Professor

        priyanka.ai@kiet.edu

        Ms. Ayushi Mittal
        Ms. Ayushi Mittal

        Assistant Professor

        ayushi.mittal@kiet.edu

        Mr. Rishabh Sachan
        Mr. Rishabh Sachan

        Assistant Professor

        rishabh.sachan@kiet.edu

        Ms. Surbhi Verma
        Ms. Surbhi Verma

        Assistant Professor

        surbhi.verma@kiet.edu

        Ms. Priya Singh
        Ms. Priya Singh

        Assistant Professor

        priya.cseai@kiet.edu

        Dr. Lalit Kumar
        Dr. Lalit Kumar

        Assistant Professor

        lalit.kumar.ai@kiet.edu

        Mr. Pramod Kumar Sethy
        Mr. Pramod Kumar Sethy

        Assistant Professor

        pramod.sethy@kiet.edu

        Placement

          Testimonials

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          Center Of Excellence

          Center of Excellence (COE) for Supercomputing

          Center of Excellence (COE) for Supercomputing

          The Supercomputing COE at KIET empowers AI/ML research using NVIDIA DGX A100. It offers hands-on training, live projects, workshops, industry collaboration, and research support—enabling students to solve real-world challenges with next-gen tools and high-performance computing resources.

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          • Est. Yr:
          • Duration:4 Years
          • Intake:240 students
          Important reminderSEM Phase 1 registrations closing on April 15.
          Kick start your careerJoin ADP India’s Joint Campus Drive at KIET.
          Important reminderSEM Phase 1 registrations closing on April 15.
          Kick start your careerJoin ADP India’s Joint Campus Drive at KIET.

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