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COMPUTER SCIENCE & ENGINEERING (Data Science)

Best Computer Science & Engineering (Data Science) Institute in North India
The B.Tech in Computer Science & Engineering (Data Science) at Tula’s Institute is a comprehensive four-year undergraduate program designed to equip students with a strong foundation in data science, artificial intelligence, and big data analytics. This program covers essential concepts such as data collection, storage, processing, and analysis, enabling students to extract meaningful insights and drive data-driven decision-making across industries.
With the exponential growth of data in today’s digital era, the demand for skilled data scientists, analysts, and AI engineers has surged. The program’s curriculum integrates computer science, applied mathematics, statistics, and machine learning, ensuring students develop the technical expertise needed to tackle real-world challenges. Courses include data structures, algorithms, machine learning, data mining, big data analytics, and data visualization, providing a well-rounded education in the field. Students also gain hands-on experience through industry projects, internships, and practical applications in domains such as healthcare, finance, e-commerce, and business intelligence.
Furthermore, the program emphasizes the importance of ethical data science practices, covering key topics such as data privacy, security, and bias mitigation. Graduates of this program will be well-prepared for careers as data analysts, data engineers, machine learning engineers, and AI specialists, making a significant impact in today’s data-driven world.
“Transform raw data into powerful insights shape the future with Tula’s Institute’s B.Tech in CSE (Data Science).
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Program Objectives

Program Outcomes

Program Specific Outcomes

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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