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Course Description

The Department of Computer Science (CS) at KIET was established in 2018. Our core mission is to deliver quality education in Computer Science and prepare students to thrive in today’s fast-evolving digital world. With a vision to become a Centre of Excellence, the department aims to provide international-standard education that shapes competent, self-disciplined, and industry-ready computer engineers for global opportunities.

A CS degree from KIET ensures strong technical skills, enhanced employability, and the ability to work independently in the tech ecosystem. The department nurtures innovative thinking, entrepreneurial abilities, ethical values, and a solid foundation for higher education in top institutions in India and abroad. Students are further supported through in-house coaching for GATE and other competitive exams, ensuring comprehensive academic growth.

Key Highlights:
  • Strong technical foundation promoting employability and independent problem-solving
  • Emphasis on innovation, entrepreneurship, and ethical professional values
  • Guidance and coaching for GATE and competitive exams by qualified faculty
  • Curriculum focused on applying technical skills to solve real-world problems
  • Supports pathways for higher education in premier institutions in India and overseas
  • Prepares graduates for diverse roles such as web developer, data scientist, researcher, and more
  • Strong record of students securing key positions in the IT industry in India and globally

This blend of technical excellence, ethical grounding, innovative mindset, and real-world application ensures that our graduates evolve into competent professionals ready to make a positive impact on the global tech landscape.

Vision

To nurture globally competent, innovative, and ethical Data Science professionals equipped with multidisciplinary skills, and research for holistic and sustainable societal development.

Mission

  • To deliver learner-centric education in Data Science through computational thinking, problem-solving competencies and lifelong learning for effective data driven solutions.
  • To foster research, innovation, multidisciplinary learning and adaptability to emerging technologies for knowledge creation and real-world challenges.
  • To strengthen industry-academia collaboration through internships, projects, and experiential learning for entrepreneurship, and industry readiness.
  • To inculcate ethical and social values in graduates capable of delivering sustainable and data-driven solutions globally.

Program Outcomes

  • 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 analyze 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 team work: 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 engineering and management principles and apply these to one's own work, as a member or leader in a team, to manage projects 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.

Program Educational Objectives

  • Exhibit professional competence in Data Science for successful careers and higher education.
  • Develop innovative and data-driven computing solutions by adapting to emerging technologies and multidisciplinary practices.
  • Demonstrate professional ethics, leadership, and lifelong learning as responsible global professionals.

Program Specific Outcomes

  • Utilize modern data science tools and emerging technologies to design, implement, and optimize data-driven applications.
  • Demonstrate research aptitude through innovative projects to develop novel solutions.

Dean's Message

Dr. Ajay Kumar Shrivastava

Dr. Ajay Kumar Shrivastava

The Department executes 4 years B.Tech. Degree Course. It has state-of-the-art & world class facilities, with a clear aim to be known as one of the best departments in Computer Science Engineering among all existing Indian colleges of repute.

The department has a strong team of faculty members with high dedication towards their commitment in teaching and research. I am sure the department will meet its vision and mission in the best manner.

Faculty

Faculty Image
S.NoRankCount
1PROFESSOR3
2ASSOCIATE PROFESSOR9
3ASSISTANT PROFESSOR22
4ADJUNCT FACULTY1
S.NoNameDesignation
1Mr. Sreesh GaurAssistant Professor
2Ms. Priya RaghuvanshiAssistant Professor
3Mr. Dheeraj PandeyAssistant Professor
4Mr. Arpit KaushalAssistant Professor

Publications & Research

Hover on the year markers to view research detailsTap on the year markers to view research details
Publications and Research Roadmap
22-23
23-24
24-25
25-26
Overall Research Summary
S.NoPublication CategoryCount
1Journal71
2Conference132
3Books3
4Book Chapters16
5Patent Published267
6Patent Granted16
Conferences 2025-26
Journals 2025-26
Patents 2025-26
PhD Guidance 2025-26
Conferences 2024-25
Journals 2024-25
Patents 2024-25
PhD Guidance 2024-25
Book Chapters 2024-25

Class Room

Labs

The department’s infrastructure goes beyond the classroom. It features a dedicated Project Lab with Wi-Fi, projector and seating facilities for students. Along with this, department has IoT equipments facilities hosting Arduino boards, breadboards, temperature sensors (DHT11), LED displays, relay modules, soil moisture sensors, and more—encouraging hands-on experimentation and innovation.

Placement

S.NoBatchAverage PackageHighest Package
12025-20265.87 LPA45 LPA
22024-20255.88 LPA13.5 LPA

Centre of Excellence

CoE in AI Skills

CoE in AI Skills

The Center of Excellence in AI Skills at KIET Group of Institutions has been created to help students and faculty learn and use artificial intelligence in a practical and responsible way. Hosted by the Department of Computer Science, the center supports the institute’s vision of preparing learners for emerging technologies.

Testimonials

From KIET to Airtel—my journey has been incredible! As a 2024 CS graduate and AKTU Rank 7 holder, I owe so much to KIET for shaping me with its hands-on learning, inspiring mentors, and endless growth opportunities. Those lat...Read More

Testimonial
Aditi Batra
Bharti Airtel LTD

My four years at KIET were filled with enriching experiences—both academic and personal. The supportive faculty of the Computer Science Department, even during the challenges of the pandemic, ensured we stayed on track and mo...Read More

Testimonial
Archit Srivastava
Accenture

My journey at KIET laid a strong foundation for my career. The excellent academic environment, dedicated faculty, and industry-oriented learning helped me grow both technically and personally. Today, I am proud to be working ...Read More

Testimonial
Hanu Agarwal
Tata consultancy services

Clubs

Kinesis Technical Society (KTS)

Kinesis Technical Society (KTS)

Kinesis Technical Society (KTS) is the official technical society of KIET Group of Institutions, built on the pillars of innovation, collaboration, and continuous learning. KTS provides a dynamic platform for students to explore and excel in various domains of technology. Our society organizes a wide range of activities including technical workshops, hackathons, coding competitions, and project showcases that encourage hands-on learning and creative problem-solving.KTS is more than just a club — it's a community of driven individuals who are passionate about technology, eager to innovate, and always ready to learn.

CP BYTE

CP BYTE

Founded in 2022 under the Department of Computer Science, CPBYTE stands as the official technical club of KIET— a community where innovation meets collaboration. What began as a small initiative to nurture coding culture has now grown into a thriving family of 250+ active members, guided by dedicated mentors and experienced seniors who provide invaluable support at every step. At CPBYTE, we believe in learning by doing. The club regularly conducts bootcamps, workshops, hackathons, and speaker sessions, empowering students to build, explore, and excel in the ever-evolving tech world. From sessions on Web Development, Android Development, Git & GitHub, and Generative AI to flagship events like Stranger Stacks and Dev 101, CPBYTE continually creates meaningful learning experiences. With strong guidance from our faculty coordinators and senior mentors, we emphasize teamwork, curiosity, and leadership, making CPBYTE not just a club — but a launchpad for innovators, coders, and problem-solvers.

Syllabus

CS I YEAR
CS II YEAR
CS III YEAR
CS IV YEAR

Important Links

Register For Admission 2026–27