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Data Management & Visual Insight

  /  Data Management & Visual Insight

Data Management & Visual Insight – 5 Years Integrated (B.Sc + M.Sc)

This 5 Years integrated program is the best and world wild unique combination of essential elements of the Data field, such as database architecture, data meninges, data warehousing, and data analytics. Apart from it students will be able to well equip with data base 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 scientists and business analysts can access and interpret data in context to provide e 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.

SOME OF THE IMPORTANT HIGHLIGHTED MODULAR STRUCTURES

  • Hadoop Architecture
  • PIG | HIVE | Map Reduce | Spark
  • Database administration
  • Database design
  • Mongo DB (Non Structured Query language)
  • Data Science by using Algorithm and designing the Model
  • Data mining and Data warehousing
  • Business Analytics
  • Visual Insight of Data
  • Data Security Design
  • Big Data Programming Like (Python , R and Scala)