Academics
KGI offers a blend of quality education, practical learning, and
industry-driven curriculum to prepare students for successful careers.
CSE (Data Science)
About Course
Our Vision & Mission
We aim to empower students with the skills needed to address the complex technological challenges of modern society, while fostering a spirit of collaboration and multidisciplinary learning. By creating a conducive environment for quality academics and research-driven education in Computer Science and Engineering, we prepare students for a globalized technological world and inspire them to contribute meaningfully towards the betterment of society.
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.
Career & Job Opportunities
Software Engineer
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Web Developer
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System Analysts
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Consultants
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Cloud Computing Engineer
E- Commerce
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Knowledge Engineers
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Higher Education & Research
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Webmasters
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Network Engineers
Ethical Hacker
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Government and Public Sector Opportunities
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Graphic Designer
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Database Engineer
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Software Testing
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