The B.Tech in Computer Science and Engineering(Data Science) program is a four-year undergraduate degree that is focused on providing students with a strong foundation in data science. During the program, students will learn how to collect, store, process, and analyze large amounts of data using advanced techniques and tools. They will also learn how to apply these techniques to real-world problems in various industries.

The program is designed to equip students with the necessary knowledge and skills to become successful data scientists. In this program, we offer a comprehensive curriculum that covers the fundamentals of computer science, mathematics, statistics, and data analysis.

The present era is full of technological advances in almost all spectrum of life and we are flooded with enormous amount of data. There is an increasing demand of capturing, analyzing, and synthesizing this large amount of data sets in a number of application domains to better understand various phenomena and to convert the information available in the data into actionable strategies such as new scientific discoveries, business applications, policy making, and healthcare etc.

Data science is the area where applications of various tools and techniques from the disciplines of applied statistics,mathematics and computer science are used to get greater insight and to make better and informed decisions for various purposes by analysing a large amount of data.

The curriculum of this program includes courses such as programming, data structures, algorithms, machine learning, data mining, big data analytics, and data visualization. Additionally, students will have the opportunity to work on projects and participate in internships to gain practical experience in the field of data science.

Upon completing this program, graduates will have a range of career opportunities in industries such as healthcare, finance, e-commerce, and many others. They can work as data analysts, data scientists, machine learning engineers, and data engineers, among others.

Our program also emphasizes the importance of ethical considerations in data science. We believe that responsible data science practices are crucial in ensuring the ethical and fair use of data. As such, our program includes courses that cover ethical considerations in data science, such as data privacy, security, and bias.

The objectives of a B.Tech in Data Science program are as follows:

  •       Develop a solid foundation in computer science, mathematics, statistics, and data analysis: The program aims to provide students with a strong foundation in these key areas to develop the necessary skills to become successful data scientists.
  •       Learn advanced techniques and tools in data science: The program aims to teach students the latest techniques and tools used in the field of data science, such as machine learning, data mining, big data analytics, and data visualization.
  •       Apply data science techniques to real-world problems: The program aims to provide students with hands-on experience in solving real-world problems using data science techniques.
  •       Develop critical thinking and problem-solving skills: The program aims to help students develop critical thinking and problem-solving skills necessary to succeed in the field of data science.
  •       Foster creativity and innovation: The program aims to encourage creativity and innovation in data science by providing students with opportunities to work on projects and participate in internships.
  •       Emphasize the importance of ethical considerations in data science: The program aims to educate students on the importance of ethical considerations in data science, such as data privacy, security, and bias, and how to apply responsible data science practices.
  •       Prepare students for a successful career in data science: The program aims to equip students with the knowledge and skills necessary to pursue a successful career in data science in various industries, such as healthcare, finance, e-commerce, and many others.
  • 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, 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 t h e 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 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.
  • 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.
  • PSO1 : Provide Industry led/sponsor Teaching Learning facilities.
  • PSO2 : Provide ability to design and develop solution machine learning via sponsor research project.


  • To become the centre of excellence in teaching and research.


  • To induce ethical values and spirit of social commitment.
  • To provide a learning ambience to enhance innovations and problem-solving skills.
  • To provide a comprehensive education, benchmarked against the highest global standards.
  • To collaborate with the software industry and adopt technology to achieve quality in technical education.
  • To promote research-based projects/activities in the emerging areas of technology convergence.

B.Tech Eligibility 

1.B.Tech4 years

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/Agriculture/ Engineering Graphics/ Business Studies.

Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.


Dr. Anand Kumar Gupta

Email id: [email protected]
Head of the Department,
Computer Science and Engineering

The department of computer science & engineering aims at providing & ensuring outcome based education through qualitative teaching-learning process, meaningful teacher-taught interactions, state-of-the-art laboratories and well qualified faculty. Our department is striving hard to achieve its vision of becoming a centre of excellence in the field of technical education. The department is constantly working towards improving the all-round skill development of our students through organizing guest lectures, seminars, workshops, conferences and career service events facilitated by prominent experts. Our students are highly motivated and demanded by top recruiters for employment. The department provides the arena to build the students capabilities, communication and employability skills. We believe that the teaching-learning process, coupled with practical experience gained during Industrial Training in reputed organizations, equip our students to handle the challenges required by the software industry. In addition to mastering theoretical concepts of computer science practical skills, our focus is to prepare students to conduct research, via minor and major projects offered in the curriculum. Projects offered stretch across diverse areas like algorithms, parallel computing, computer security, artificial intelligence, computer networks, as well as interdisciplinary areas like human-computer interaction, applied machine learning etc.

Name:- Dr. Tarun Kumar

Education:-  Ph.D,

Experience:- 9 Yrs.

Designation:- Professor

Publications:- 10


Name:- Mr. Anuj Kumar

Education:- MCA

Experience:- 2 Yrs.

Designation:- Assistant Professor



Name:- Ms. Rimpi Upadhyay

Education:- M.Tech

Experience:- 2 Yrs.

Designation:- Associate Professor



  • Society of Computer Science and Engineering.
  • IEEE  Student Chapter
  • IEEE Computer Society
  • Vibgyor and Victree

Career Prospects:

    • Data Scientist
    • Data Analyst
    • Business Analyst
    • Data Engineer

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