Program Plan

Semester 1:
  • Introduction to Business Analytics
  • Statistical Methods for Business Analytics
  • Data Management and Data Warehousing
  • Business Intelligence and Data Visulization
  • Predictive Analytics
Semester 2:
  • Advanced Statistical Techniques
  • Machine Learning and Artificial Intelligence
  • Big Data Analytics
  • Data Mining
  • Capstone Project (BA)

Key Takeaways/Benefits From The Course

  • The student will understand the role of analytics in business decision-making.
  • This course will teach the skills in using statistical software for data analysis and building and interpreting predictive models.
  • The students will gain an understanding of database management systems and data warehousing concepts.
  • This course will also guide about the techniques for analysing and processing large-scale datasets.

Potential Career Growth

  • Business Analyst: Analyze business data and provide insights for decision-making.
  • Data Analyst: Interpret complex data sets to help companies make informed decisions.
  • Data Scientist: Develop advanced analytical models and algorithms.
  • Business Intelligence Analyst: Use BI tools to analyse data and provide actionable insights.
  • Machine Learning Engineer: Develop and implement machine learning models.
  • Big Data Analyst: Analyze large data sets to uncover trends and insights.
  • Data Engineer: Design and manage large-scale data processing systems.
  • Analytics Consultant: Provide expert advice on data analytics and business intelligence.
  • Operations Analyst: Improve business processes and operations through data analysis.
  • Strategy Analyst: Develop business strategies based on data-driven insights.

Who Should Attend

  • Aspiring Business Analysts: Individuals looking to build a career in business analytics.
  • Data Enthusiasts: Professionals aiming to enhance their data analysis skills and knowledge.
  • Graduates: Recent graduates interested in specializing in business analytics.
  • Industry Professionals: Professionals seeking to expand their knowledge in data analytics.
  • Management Enthusiasts: Individuals interested in learning about data-driven decisionmaking techniques and practices.