ABOUT THE COURSE
VISION

To empower the students with the required skills to solve the complex technological problems of modern society and also provide them with a framework for promoting collaborative and multidisciplinary activities. 

MISSION

To create the most conducive environment for quality academic and research oriented undergraduate education in computer science and engineering and prepare the students for a globalised technological society and orient them towards serving the society.

SYLLABUS

WHY CHOOSE B.TECH CSE (DATA SCIENCE)

The Computer Science and Engineering (DS) offers a four-year under-graduate B.Tech course in CSE (DATA SCIENCE) which aims to develop insights and knowledge from structured and unstructured data using the various techniques, tools and technologies. Data Science is a rapidly evolving field and students must stay updated with new techniques, tools and technologies to drive growth and innovation This course is best suited for students seeking to build expertise in aspects of statistics .computer science, and domain specific knowledge to drive informed decision making.

The highlights of Data Science Branch at Krishna Institute of Technology are:

  • Industry-Centric Curriculum:
    Specialized focus on Data Analytics, Machine Learning, Big Data, Statistical Modeling, Python, R, and Data Visualization tools.
  • Practical,Project-Based Learning:
    Emphasis on real-world data projects, case studies, and hands-on labs using platforms such as Jupyter, Tableau, Power Bl,and Hadoop.
  • Experienced Faculty& IndustryExperts:
    Learn fromseasoned academiciansand certified professionalswithexpertise in analyticsand data engineering.
  • AdvancedComputingInfrastructure:
    Fully equipped data science laboratories with high-performance systems, cloud access, and software tools to support practical learning.
  • Placement-Ready Training:
    Soft skills development, aptitude training, mock interviews, and resume-building sessions to prepare students for data-centric roles.
  • Internships & Live Projects:
    Partnerships with analytics firms and startups offering internships, live case studies, and collaborative research opportunities.
  • Innovation & Research Support:
    Encouragement to work on data-driven innovation, publish papers, and explore interdisciplinary projects in AI, loT, and business intelligence.

ELIGIBILITY CRITERIA

Eligibility: 10+2 (Without Grace) (with Physics & Maths as compulsory and one optional subject) Percentage: (in PCM) For Gen/OBC/Min.:>45% For SC/ST: >40% Course Duration: 4 Years Degree: AKTU, Lucknow

CAREER & JOB OPPORTUNITIES

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