Post Graduate Program in Business Analytics and Big Data Science – ISMT Business School

DescriptionProgram StructureEligibilityToolsContact

This program is designed for young professionals and fresher’s  to train them about business analytics. The program covers essential techniques like Machine Learning, Data Visualization and Data Warehousing. Majority of the tools like R, Pyhton, Hadoop, Qlikview, Java, Tableau, Spark are part of the curriculum. The well trained faculty provides exposure to students about the organizational practices.  The skills taught during the course will be tested in four projects and individuals are required to

In the full time course, individuals are guided to improve personality development skills like effective communication, business interaction and prepare them for interview.

The following topics will be covered in the program:

  • Introduction to Business Analytics
    • Statistics
    • Python
    • R
    • Java
    • SQL
    • Linux
    • Tableau
    • Qlikview
  • Data Visualization
  • Data Warehousing
  • Hadoop
  • NoSQL
  • Hbase
  • Cloud Computing
  • Real time Value
  • Big Data Lake
  • Spark
  • MONGODB
  • Apache Kafka
  • Apache Impala

The teaching methodology for this programme will be an appropriate mixture of classroom teaching, case studies and projects.

Program Mode of Learning

 

Mode: Full Time

Program Duration: 11 months (350 hours including classroom and lab sessions)

  • 8 months of classroom training + Projects + Case Studies
  • 3 months of internship

Fees: 2,50,000/- + Service Tax.

 

Mode: Part time

Duration : 9 months (250 hours including classroom and lab sessions)

  • 6 months of classroom training
  • 3 months (Projects + Case Studies + Online Learning )

Fees: 1,90,000/- + Service Tax

For Full Time:

  • Bachelor’s degree in engineering & technology any field (maths, stats, economics, management, physics, biotechnology, science health)
  • BE / BTech / ME / MTech / BSc / MSc / BCA / MCA / MBA

For Part time:

  • Bachelor’s degree in any discipline
  • Min 2 years of work experience
  • Python
  • R
  • Java
  • SQL
  • Linux
  • Tableau
  • Qlikview
  • Hadoop
  • NoSQL
  • Hbase
  • Spark
  • MONGODB
  • Apache Kafka
  • Apache Impala
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