The Department of Computer Technology at SMS College of Arts and Science offers the B.Sc Data Science programme to address the growing demand for data-driven decision-making across industries. The department focuses on developing strong analytical, computational, and statistical skills among students to analyze large volumes of data and derive meaningful insights. Through experienced faculty guidance, modern computing facilities, and practical-oriented learning, the department prepares students to meet the evolving requirements of data analytics, business intelligence, and emerging technology sectors.
To develop skilled data science professionals capable of transforming data into meaningful insights for technological and societal advancement.
The curriculum follows the Outcome-Based Education (OBE) framework and includes major subjects such as:
The programme emphasizes practical data analysis and real-world applications.
B.Sc Data Science is a three-year undergraduate programme affiliated with Bharathiar University, Coimbatore. The programme is designed to provide comprehensive knowledge in data analysis, statistical modeling, machine learning, and data visualization techniques. The course integrates mathematical concepts, programming skills, and analytical tools to help students understand how data can be utilized for effective decision-making in business and technology environments. The programme prepares students for careers in data analytics and emerging technology fields.
Students receive hands-on training through data analytics laboratories, programming exercises, and real-time data analysis projects. Practical sessions focus on data modeling, visualization tools, and analytical techniques used in industry. Workshops, seminars, and project-based learning help students gain practical exposure to current data science applications.
Graduates of B.Sc Data Science have career opportunities in:
Students can pursue higher studies such as M.Sc Data Science, Artificial Intelligence, MCA, or other specialized postgraduate programmes.
The Department is supported by qualified and experienced faculty members specializing in data analytics, computing, and statistics. Faculty members provide academic mentoring, technical guidance, and project supervision to ensure students develop strong analytical and professional competencies.