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Masters in Business Intelligence & Analytics

  /  Masters in Business Intelligence & Analytics

Business Intelligence & Analytics (2 Years Master Program)

This 2 Years Master Program is the best and worldwide unique combination of essential elements of the Data field, such as database architecture, data mining, data warehousing, and data analyses. Apart from it students will be able to well equip with database design, implementation, and administration. This program has been designed in such a way to prepare students for the evolving and growing field needing data engineers, by providing them the holistic knowledge and technical skill to engineer big data systems, curate data, and integrate and process data so that data scientist and business analysts can access and interpret data in context to provide meaningful results to management. This program will offer a multitude of courses in data engineering that are required to deliver the data results in a meaningful way to management.

We plan to cover data management, advanced data management, data warehousing and business intelligence, column data bases, data science engineering, and big-data engineering. On the software engineering side, we are planning to offer advanced big-data programming using the powerful Python , R and Scala language and a course on advanced data science as well as cloud computing. Hadoop Multi-thread concurrent computing will be also offered as it is important for synchronizing a huge set of servers working in parallel to do large scale analytics to make things run faster.

The curriculum covers areas that prepare you for most lucrative careers in the space of Data Science, Data Engineering and Advanced Analytics. It helps learner’s master critical skills such as Mathematical modelling, Machine learning, Artificial Intelligence, Product development and scripting languages


  • IT Programming- Java
  • Data Management and Relational Database Modelling
  • Big Data Hadoop Architecture
  • Introduction to Business Analytics
  • Data Analytics Programming Language
  • Statistical Analysis
  • Business Analytics
  • Visual Insight of Data – Exploring Data Graphically
  • Data Science Exploration
  • Comprehensive Data Science Programming
  • Artificial Intelligence
  • Deep Learning
  • Natural Language Processing ( NLP )