Computer Science & Engineering ( Data Science )

Department Overview

Bachelor of technology in Data Science is a new engineering program aiming to create experts in the domain of Data Science. This programme has roots in computer science engineering specially designed to enable students to build intelligent machines, software or application with a cutting edge combination of machine learning, analytics and visualization technologies.
In our department we not only give emphasis on study but also make students ready for industry with practical expertise in Data Science. The department currently offers a 4 year B-tech programme in the engineering stream under the affiliation of KTU with sanctioned intake of 60 from the academic 2023-2024.
The aim of this course is to produce graduate who are well versed with theoretical knowledge and the skill set to address all aspects of creating, managing, processing and converting data to knowledge. The laboratorial setup and the intellectual resources of the department will deliver the best of Data Science and make our students as profound data scientists.

What we aspire to be

Vision

To achieve excellence in Engineering Science and Technology and to produce professionally competent, socially sensitive, skilled intellectual Data Science professionals to meet the current and future challenges of the modern computing industry.

Who we are, What we do

Mission

M1: To empower students with innovative and cognitive skills to expertise in the field of Data science.
M2: To inculcate the seeds of knowledge by providing an industry-conducive environment and excel in a data-driven world.
M3: To provide an excellent infrastructure, facilities and ambience to nurture the young professionals.
M4: Committed to provide professionals with socio-disciplinary attitude and acquire professional ethics.

Ms SANTHI P

Head of the Department

Designation : Assistant Professor

Date of Joining : 1-05-2020

E-mail Address : dshod@iesce.info

Area of Interest : AI

Offered Programmes


Course Mode Duration No.of Seats
Computer science & Engineering ( Data Science ) Full Time 0 60

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