Hindusthan College of Arts & Science

Bachelor of Science in Data Science & Analytics

Entry Requirements

The student must have passed Class 12th from a recognised School board of Education.

Course Duration

3 Years

Intake

About the Department

The Department of Data Science & Analytics was established during the year 2022 with under Graduate Programme (B.Sc Data Science & Analytics). The programme provides rigorous theoretical and practical training on Data management, Data analytics, Programming, Statistics, Machine learning, Artificial intelligence. It also aims to strike a perfect balance between classroom and technology-aided learning. The curriculum aims at providing an introductory yet comprehensive view of established and emerging areas in diverse Data Science field. Students enrich their technical skills by Learning from all IIT’s Virtual Labs, Spoken Tutorial-IIT BOMBAY and one to one with Industry Mentors

Vision

To inculcate in depth knowledge of Data Science, Data Analytics, Data management, big data Analytics, Artificial intelligence, Machine learning and other domain specific fields like national language processing, Computer vision, etc by imparting Cognitive learning environment with continuous education, research and industrial collaboration To prepare students to become globally competent Data analytic experts and researchers and expand their capacity to contribute in the field of data science by providing total solution in societal aspects.

Mission

To develop industry conducive environment by providing state-of-art infrastructure to compete in data-driven world. To empower students to provide innovative and cognitive solutions with the help of data analytical skill set and new advancements in high performance computing To build data intensive system through socio-economic aspect by promoting cross-disciplinary thinking that expands expertise in cutting edge technologies and acquire professional ethics.

Goals & Objectives

Data analyst career is to take large volumes of complex data, extract insights, and help solve problems.

To expertise the principle of Data Science and problem solving, inference, perception, knowledge representation and learning.

Provide advice in all areas of the data analytics project cycle: business problem formation, data understanding, data warehousing, data preparation, and predictive model development, evaluation, interpretation, and deployment.

Source specialized student talent for companies interested in hiring data analytics expertise.

To exhibit high standards with regard through data collection, visualization, analysis and predictive modeling.

Alumni