B.Com(BA)-Department

About Department

B.Com (Business Analytics) is a Commerce embedded course that uses the most up-to-date computer technology, such as python programmes and other business-related tools, to help enterprises and organisations to make data-driven decisions. The Degree focuses on the conceptual knowledge in the multiple disciplines of analytics.

This course provides students with a solid understanding of Business Analytics ideas, as well as a number of skills, tools, and strategies for understanding data, analysing business challenges and implementing essential business solutions in an organised way. Students learn about commerce and data processing techniques, as well as how to handle challenges in a variety of sectors, including manufacturing, retail, software banking, and finance, both theoretically and practically.

Vision

To furnish the students with business domain and analytics knowledge that enables them to grow with potential career opportunities and enhance themselves to become dynamic leaders and entrepreneurs in the corporate world.
To provide the students with technical knowledge, leadership skills and attitudes so that they can steer the ever-changing business problems and mould themselves with an admired personality that develops corporate social responsibility in their minds.

Mission

To educate the learners to use advanced technological tools to break complicated problems into simple solutions.
To acquire practical experience with business analytical tools and techniques for solving business problems using data science.
To impart commerce knowledge with data analytics techniques to search for new business opportunities in the manufacturing and service sectors globally.
To guide the students in meeting the ever-changing challenges in the business environment.

Objectives

The department aims to develop students' analytical, technical, and managerial skills for data-driven decision-making.
Faculty shall ensure continuous curriculum updates aligned with industry trends and emerging analytical tools.
Students must actively participate in projects, internships, and skill-based trainings to enhance employability.
Regular assessments, seminars, and workshops will be conducted to strengthen applied analytics competencies.
The department promotes ethical data usage, research culture, and collaboration with industry for experiential learning. Ensure department laboratories and infrastructure are maintained and upgraded.