From the HOD's Desk:
The evolution of Computers has laid its path to store, process, and acquire data in an optimized and efficient manner. Due to the advent of technology and the emergence of digitalization, the massive volume of data generated while carrying out day-to-day activities using computer technology needs to be mined intelligently to carry out business tasks. Data management and utilization are core objectives of any software application. Hence, our engineers need to be trained in a comprehensive knowledge of the science beneath the data.
Data Science is one of the most potential specialization branches of Computer Science, which enables students to gain awareness of Data Analytics, Data Visualization, and Data Acquisition using the current trend of Machine Learning Algorithms. Data Science engineers will be able to design and solve problems related to real-life applications using robust characteristics of mathematics, statistics, and Computer Programming using cutting-edge technology of Machine Learning and Deep Learning algorithms.
Data Science is one of the most potential specialization branches of Computer Science, which enables students to gain awareness of Data Analytics, Data Visualization, and Data Acquisition using the current trend of Machine Learning Algorithms. Data Science engineers will be able to design and solve problems related to real-life applications using robust characteristics of mathematics, statistics, and Computer Programming using cutting-edge technology of Machine Learning and Deep Learning algorithms.
Dr. Ramesh Babu D R
Vice Principal
Professor & Incharge HOD
Vision
To provide an immersive learning environment in Computing and data science with focus on industry skill needs, to prepare the students to be successful global software engineers and data scientists contributing to the society.
Mission
- To imbibe deep analytical thinking and data driven problem solving skills in students.
- To provide an excellent learning environment through the contemporary teaching learning practices to excel in data-driven world.
- To tie up with the industry in research and development activities.
- To encourage the students in applying data science in multidisciplinary projects.
- To groom professionals with exemplary values and ethics to meet the societal needs.