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MBA in Business Analytics FAQ’s

FAQ's

FAQ's

To be eligible for the MBA in Business Analytics at JGBS, applicants must possess a Bachelor’s degree from any recognized university with minimum 50% overall grade, regardless of the discipline. There is no age limit for applicants.

The MBA in Business Analytics programme is a one-year course. The year is divided into four terms comprising of 18 credits each, with each term having core courses. The total number of credits required for graduation is 72.

The online MBA in Business Analytics programme is designed to equip you with the skills and knowledge necessary to excel in today’s data-driven business environment. With a unique curriculum that combines both business management and analytics, you’ll gain expertise in the application of analytics tools and techniques to solve complex business problems.

Potential career profiles include business analyst, management consultant, HR analyst, marketing analyst, supply chain analyst, risk analyst, financial analyst, and more. When you graduate, you’ll have a deep understanding of the utility of data and data-driven problem solving in business scenarios. You’ll be able to analyze data to diagnose underlying business problems, predict future outcomes, and prescribe optimal solutions. Additionally, you’ll be acquainted with alternate novel methods, such as visualization, to solve business problems.

  • R Studio: Introduction to Business Analytics, Advanced Business Analytics, Time Series Analytics, and Prescriptive Analytics
  • Tableau: Data Visualization
  • Python: Machine Learning and Big Data Analytics
  • SQL: Database Management with SQL
  • SPSS: Predictive Analytics & Forecasting
  • MS Excel: Business Decision Modelling with Spreadsheets and Statistical Methods for Decision Making
  • Business Economics
  • Marketing Management
  • Business Communication
  • Financial Accounting
  • Operations & Supply Chain Management
  • Design Thinking
  • Managing People & Organizations
  • Financial Management
  • Prescriptive Analytics
  • Artificial Intelligence
  • Strategic Management & Business Policy
  • Business Ethics & CSR
  • Machine Learning