COMPUTER SCIENCE AND ENGINEERING

Established in 2021, the Data Science Department at Kallam Haranadhareddy Institute of Technology is dedicated to advancing data science through innovative research, comprehensive education, and industry collaboration. We equip our students with the skills and knowledge needed to excel in a rapidly evolving technological landscape. Data science is revolutionizing industries by enabling data-driven decisions, predicting trends, and optimizing operations. From healthcare and finance to entertainment and sports, it is essential in today’s information age, making data scientists highly sought-after professionals. We maintain strong partnerships with industry leaders to ensure our curriculum stays relevant. Through internships, workshops, guest lectures, and collaborative projects, students gain invaluable real-world experience and networking opportunities, preparing them for successful careers in data science.

Career Prospects: Graduates of the B.Tech in Data Science program at Kallam Haranadhareddy Institute of Technology are well-prepared for a dynamic job market, with career opportunities as Data Scientists, Data Analysts, Big Data Engineers, and Business Intelligence Analysts, where they analyze complex data, provide actionable insights, manage large-scale data systems, and support business strategy through data.

COURSES

Courses Offered

Intake

B.Tech – CSE DS

60

Vision

To become a leader in data science education by fostering a collaborative environment where students and faculty solve complex problems using data-driven approaches while striving to impact both academia and industry by producing top-tier professionals equipped with the latest knowledge and skills.

Mission

  • Provide high-quality education and training in data science to prepare students for successful careers in academia, industry, and government.
  • Promote the development of innovative solutions to real-world problems through rigorous academic training.
  • Foster partnerships with industry, government, and academic institutions to promote the exchange of knowledge and the application of data science in various domains.
  • Create an inclusive and supportive environment that encourages the participation and growth of a diverse student body and faculty.