B.Com. (Bachelor of Commerce) Business Analytics

The B.Com in Business Analytics is an advanced undergraduate course with state-of-the-art business analytics hitched to the best of the B.Com curriculum. Fully accredited by IoA-UK, it is tailored to endow learners with key techniques and analytical tools dealing with large, complex datasets—thereby making sure to equip students with a core knowledge base in business fundamentals while acquiring special skills of handling and interpreting data.

Overview

Accreditation and Industry Relevance: The program is validated by the Institute of Analytics, UK, ensuring that the curriculum aligns with global standards in analytics, providing enhanced credibility and recognition.

Industry 4.0 Alignment: The course design has been done in accordance with the requirements of Industry 4.0, so that the students are prepared for the digital economy with relevant skills in today's data-driven business environment.

Data Analysis Competency: The student will develop skills in deciphering complex data sets to drive actionable insights. This has very high corporate utility, as it enables informed decisions and strategy formulation for an organization.

Technology Integration: The course lays special emphasis on using contemporary analytical tools and techniques such as machine learning and artificial intelligence, crucial in addressing issues facing modern-day business.

Structure
• Python Programming: The learners are taught Python, a versatile language mostly applied in data analysis and Machine Learning.
• Statistics with R: Course includes training in R—a language and integrated environment for statistical computing and graphics.
• Structured Query Language: Training on SQL is carried out for relational database management systems and querying. This forms the core of data extraction and manipulation.
• SAS and Tableau: Imparting training in SAS—Statistical Analysis System—and Tableau enables students in the areas of advanced analytics and data visualization.
• Big Data Analytics: The art of techniques for analysing, interpreting vast volumes of data—critical components in modern, data-driven decision-making.
• Social Media Analytics: A course to teach people how to analyse data from social media understanding trends and consumer behaviours.
• Natural Language Processing: Develop NLP skills in processing and analysing human language data for tasks such as Sentiment Analysis and Text Mining.
• Machine Learning: The program covers machine learning techniques to let students build predictive models that help in making data-driven decisions.

The B.Com Business Analytics program represents the salient features of the relevant education that a student needs in business and analytics, with a mix of theoretical knowledge with practical skills. This will help students prepare for careers in the digital economy by covering essential programming languages and analytical tools, including those in data analytics, data processing, and data mining. Mastery in these areas equips them to excel in a wide range of in-demand careers, providing a strong foundation for success in the digital landscape.