School of Business Analytics Excellence

In the contemporary business landscape, each organization seeks to enhance the efficiency of their decision-making processes, and business analytics provides them with a competitive edge. To maintain a competitive advantage, businesses need to stay ahead of their competitors by leveraging cutting-edge tools to enhance efficiency and drive increased profits. Business Analytics plays a pivotal role in this endeavor by utilizing data analysis to enhance business performance. By analysing data from diverse sources, including customer behavior, with the help of statistical methodologies, data visualization tools and predictive modeling; businesses can identify patterns, trends, and opportunities and take data-driven decisions to streamline their operations and attain a competitive edge.

The School of Business Analytics Excellence, one of the specializations of PGDM – Business Analytics, is equipped with an innovative curriculum aligned with industry demands and trends, offers students an exceptional learning experience, along with access to the latest tools, real-world datasets, and engaging capstone projects.

The School of Business Analytics Excellence offers the following areas of study:

  • Spreadsheet Modeling with Excel
  • Programming with Python
  • RDBMS and Data warehouse
  • Financial Modelling using Excel
  • Machine Learning – I
  • Big Data Management
  • MIS and ERP
  • Data Visualization
  • Cloud Technology
  • Digital Transformation and Strategy
  • Programming with R
  • Natural Language Processing (NLP)
  • Machine Learning – II
  • Artificial Intelligence and Deep Learning
  • Proficiency in Business tool – SAS, Orange 3 and Looker Studio
  • Cybersecurity and Cyberlaw
  • Digital & Social Media Analytics
  • Marketing Analytics
  • Supply Chain Analytics
  • Econometrics and Time Series
  • Financial & Risk Analytics
  • Healthcare Analytics
  • Insurance Analytics
  • Retail Analytics
  • Speech Analytics
  • Blockchain and Industry 4.0
  • Agile Project Management for Analytics
  • HR Analytics
  • E-commerce Analytics
  • Digital Product Design and Analytics
  • Agriculture and Environmental Analytics
  • IoT analytics
  • Web Scrapping
  • Quality Analytics