Welcome to the Department of Data Science at Meerut Institute of Engineering and Technology! Established in 2021, our department is a dynamic hub for education and research, seamlessly integrating data science principles into the realms of engineering and technology. Our mission is to nurture a new generation of professionals who excel in harnessing the power of data to drive advancements in engineering and technology. We are committed to providing a comprehensive education that combines theoretical knowledge with hands-on experience, preparing our students to tackle real-world challenges in today's data-centric world. Our approach is an interdisciplinary perspective, bridging the gap between data science and engineering. This focus fosters collaboration that leads to ground breaking solutions. Our curriculum is designed to reflect the latest industry trends and technological advancements, ensuring our graduates are well-equipped for the demands of the rapidly evolving field. It offers an undergraduate programme under the affiliation of Dr A.P.J Abdul Kalam Technical University Uttar Pradesh (A.K.T.U), Lucknow U.P.

Students have access to top-notch laboratories and resources, facilitating practical, hands-on learning experiences in data analytics, machine learning, and more. Our dedicated faculty members, experienced professionals and researchers, bring a wealth of knowledge and industry insights into the classroom. The department actively engages in pioneering research that pushes the boundaries of what is possible with data science. From predictive modelling to optimization techniques, our faculty and students are at the forefront of transforming theoretical concepts into practical applications. Beyond the classroom, we encourage our students to participate in hackathons, industry internships, and community projects, fostering a well-rounded educational experience that extends beyond academic boundaries.


B. Tech. – CSE (DS) with sanctioned intake of 120.

UG: 4 Years Bachelor of Technology in Computer Science & Engineering (Data Science)

Courses Outcome


To be an excellent department that provides value-based quality education, uplifts data analytic experts and researchers, and expands their capacity to contribute to the area of data science by delivering a whole solution in social aspects.


  • To create an industry-friendly atmosphere by offering cutting-edge infrastructure in order to compete in a data-driven future.
  • To enable students to create innovative and cognitive solutions using data analytics and new advances in high performance computing.
  • To build data-intensive systems using socio-economic factors and cross-disciplinary thinking to advance technology and ethics.

HODs Message

Welcome to the Department of Data Science at Meerut Institute of Engineering and Technology. Our department is dedicated to seamlessly integrating data science principles into engineering and technology. As the Head of the department, I am excited to lead a team of passionate educators and researchers committed to nurturing a new generation of professionals. Our interdisciplinary approach fosters. collaboration between data science and engineering, reflected in a curriculum designed to provide a comprehensive education blending theoretical knowledge with hands-on experience. State-of-the-art laboratories and dedicated faculty ensure you are well-prepared for the dynamic, data-centric world. Engage in pioneering research, from predictive modelling to optimization techniques, and explore opportunities beyond the classroom, including hackathons and industry internships.

It remains as the most preferred choice of the entire students seeking admission in MIET. We as a team sincerely welcome the young talent who aspire to pursue studies, to educate, or to innovate in the area of Computer Science, Machine Learning and Data science. So Come and Join us.

Mr. Rohit Aggarwal

Mr. Rohit Aggarwal

P.hd (Pursuing), M.Tech, B.Tech



  • PEO1: Pursue their career in the field of Data Science Engineering and allied industries.
  • PEO2: Pursue their carrier in higher education in Data Science Engineering and other Professional Courses.
  • PEO3: Demonstrate the leadership skills and communicate effectively.
  • PEO4: Apply their concept in solving engineering problems within realistic constraints such as social, environmental, ethical, health and safety.
  • PEO5: Pursue their career as entrepreneur in related or any other field.
  • PSO1: Ability to apply and interpret computational ideas in algorithms, machine learning, Data Science, Data Management, Data Security, and Visualization to construct intelligent prediction models
  • PSO2: Ability to use learnt concepts and abilities to deliver a quality product by applying standard practices and procedures of analytics, statistics, and machine learning ideas in order to find solutions to real-world business issues.
  • PSO3: Ability to apply fundamental principles and emerging technology to innovative research activities, career opportunities, and a desire to further higher education.

Program Outcome

  • PO-1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO-2: 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.
  • PO-3: 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.
  • PO-4: 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.
  • PO-5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO-6: 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.
  • PO-7: 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.
  • PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO-9: Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO-10: 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.
  • PO-11: 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.
  • PO-12: 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.