Business Intelligence & Analytics

Eligibility: Any Graduate

Using tools to comprehend data and make informed decisions within a firm is the focus of this programme. It entails examining data from the past, present, and future to determine how the company is doing and what steps it might take next.

Our Master’s programme in Analytics and Business Intelligence has been carefully designed to provide you the knowledge and abilities necessary to succeed in the data-driven business environment of today. Practical skills like database management with MongoDB, large data analysis with platforms like Hadoop, and Python programming are among the things you’ll study. You will get experience using these abilities to address business problems and quickly adapt to changing needs using agile techniques through practical projects and real-world case studies. In addition, you’ll delve into sophisticated AI and machine learning approaches to reliably make data-driven decisions, as well as cloud-based solutions for scaling your analytics infrastructure. Come transform your career in the ever-evolving field of analytics and business intelligence by joining us.

PART OF THE ESSENTIAL MODULAR STRUCTURES HIGHLIGHTED

  • IT Programming – Python
  • Database Design & Development –MongoDB
  • Big Data Hadoop- Ecosystem
  • Hadoop Programming & Analytics tools
  • Data Analytics Programming Language – Python
  • Statistical Analysis using R
  • Business Analytics – Agile & Scrum
  • Visual Insight of Data – Exploring Data Graphically
  • Big Data Engineering ((ETL-Extract – Transform – Load)
  • Machine Learning
  • Cloud based BI Solutions
  • Deep Learning
  • NLP

Boosting your profile with a Standout Project

Embark on real-world projects that set you apart in the competitive landscape:

  • Real-Time Personalized Music Recommendations (like Spotify)
  • Real-Time Social Media Sentiment Analysis (Facebook, Twitter)
  • Live Cyberattack Detection and Prevention (like McAfee)
  • Personalized Product Recommendations in E-commerce (like Amazon)
  • Real-Time Traffic Prediction and Navigation (like Uber)