COMPUTER SCIENCE & ENGINEERING (Data Science)

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.
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  • Program Objectives
  • Program Outcomes
  • Program Specific Outcomes

Program Objectives

  • 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.

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, research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Program Specific Outcomes

  • PSO1 : Provide Industry led/sponsor Teaching Learning facilities.PSO2 : Provide ability to design and develop solution machine learning via sponsor research project.

Departmental Vision


To become the centre of excellence in teaching, research and innovative practices for computing.

Departmental Mission


  • To provide a learning ambience to enhance programming skills for problem solving.
  • To integrate the software industry and academia in order to utilise technology for research, innovation and entrepreneurship.
  • To develop professionals with a solid foundation who can think outside the box to adapt green computing solution.
  • To provide a comprehensive computing environment that meets the highest global standards for higher education and lifelong learning.
  • To create ethical, skilled engineers through theoretical understanding and practical implementations.
S.NOCOURSEDURATIONELIGIBILITY
1B.Tech4 yearsPassed 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.

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  • Clubs/Societies/ Memberships
  • Career Prospects

Clubs/Societies/ Memberships

  • Society of Computer Science and Engineering.IEEE Student ChapterIEEE Computer SocietyVibgyor and Victree

Career Prospects

  • Data ScientistData AnalystBusiness AnalystData Engineer