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Master of Business Administration in Business Analytics with Specialization Data Mining

Master of Business Administration in Business Analytics with Specialization Data Mining

at University of Petroleum and Energy Studies India

Overview

This course deals with the inter-combination of statistics and computer science with an aim to extract patterns of information from given raw data (unprocessed data) and transform the data to provide meaningful information for business use. It covers the concepts of machine learning used as data mining techniques and touches upon the differences between data science and data mining. Students will be able to use the different data mining techniques such as association, clustering, and use different data mining applications such as market basket analysis and customer relationship management.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

24

Duration

University of Petroleum and Energy Studies

Location

Master of Business Administration in Business Analytics with Specialization Data Mining Assistant Fee

$515000

Tuition Fee

$NA

Average Cost of Living

$1300

Application Fee

Master of Business Administration in Business Analytics with Specialization Data Mining Admissions Requirements

  • Minimum 50% marks in Classes X, XII and Graduation.
  • Graduation From a recognized University in any stream
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Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

24

Duration

Study Visa

This course deals with the inter-combination of statistics and computer science with an aim to extract patterns of information from given raw data (unprocessed data) and transform the data to provide meaningful information for business use. It covers the concepts of machine learning used as data mining techniques and touches upon the differences between data science and data mining. Students will be able to use the different data mining techniques such as association, clustering, and use different data mining applications such as market basket analysis and customer relationship management.

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