Student/Faculty Feedback Facility in AICTE Web Portal | IEEE International Conference on Computational Intelligence for Sustainable Solutions (ICCISS-2027) | International Conference on Integrated Carbon and Sustainability (ICICS-26)

Course Description

The Department of Computer Science & Engineering (Data Science) at KIET, led by Dr. Ajay Kumar Shrivastava, is a newly established B.Tech program designed to prepare students for the rapidly advancing world of data-driven technologies. The department's mission is to equip learners with strong technical foundations, analytical thinking, and practical skills essential for solving real-world challenges in today's digital landscape. The curriculum blends core computer science principles with specialized domains such as Artificial Intelligence, Machine Learning, Big Data Analytics, and Statistical Modeling. This integrated learning approach ensures students gain the expertise needed to excel in both industry and research. With an emphasis on innovation, problem-solving, and responsible use of data, the program shapes future-ready professionals capable of thriving across diverse sectors. This combination of technical depth, hands-on experience, and ethical grounding prepares our graduates to become competent, impactful professionals ready to lead in the global data science landscape.

Key Highlights:
  • Strong foundation in Computer Science with specialized focus on AI, ML, Big Data, and Analytics
  • Project-based learning that develops problem-solving and real-world application skills
  • Emphasis on ethical, responsible, and innovative data usage
  • Guidance from experienced faculty and industry experts
  • Industry collaborations offering practical exposure and career-oriented learning

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 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.
  • Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • 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)
  • 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).
  • 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)
  • 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).
  • Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • 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
  • 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.
  • Life-Long Learning: Recognize the need for, and have the preparation and ability fori) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

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
1Dr. Ajay Kumar ShrivastavaDean & Professor
2Dr. Gaurav DubeyProfessor
3Dr. Akash RajakProfessor
4Dr. Raj KumarProgram Head cum Associate Professor
5Dr. RishabhAssociate Professor
6Dr. Abhishek GoyalProgram Head (1st & 2nd Yr CSEDS) & Associate Professor
7Dr. Sunil KumarAssociate Professor
8Dr. Akash GoelAssociate Professor
9Dr. Bihari Nandan PandeyAssociate Professor
10Dr. Amit Kr. MishraAssociate Professor
11Ms. Arti SharmaAssistant Professor
12Ms. ShivaniAssistant Professor
13Mr. Sreesh GaurProgram Head (1st Yr CS) & Assistant Professor
14Mr. Pawan Kumar PalAssistant Professor
15Mr. Amit Kumar Singh SangerAssistant Professor
16Mr. Vivek Kumar SharmaAssistant Professor
17Mr. Anmol JainAssistant Professor
18Mr. Puneet Kumar GoyalAssistant Professor
19Mr. Bhagwan Krishna GuptaAssistant Professor
20Mr. Rohan RathoreAssistant Professor
21Ms. SwatiAssistant Professor
22Ms. Kirti SharmaAssistant Professor
23Mr. Dheeraj PandeyAssistant Professor
24Ms. TarulAssistant Professor
25Mr. RahulAssistant Professor
26Mr. Nishant RajAssistant Professor
27Ms. Aditi JoshiAssistant Professor
28Ms. Priya RaghuvanshiAssistant Professor
29Mr. Abhishek SharmaAssistant Professor
30Mr. MayankAssistant Professor
31Dr. Juhi SinghAssistant Professor
32Dr. Om PrakashAssistant Professor
33Ms. Karuna KaushikAssistant Professor
34Mr. Arpit KaushalAssistant Professor
35Mr. Jinendra PanwarAssistant Professor
36Mr. Tarun SinghAssistant Professor
37Mr. Abhishek AhlawatAssistant Professor
38Ms. Prerna TyagiAssistant Professor
39Mr. Pratyush SharmaAssistant Professor
40Mr. Sagnik PatraAssistant Professor
41Mr. Harshit ThakurAssistant Professor
42Dr. Ved PrakashAssistant 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

CSE(DS) I YEAR
CSE(DS) II YEAR

Important Links

Register For Admission 2026–27