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Online BBA In Data Analytics

The Online BBA in Data Analytics is a life-changing program combining business basics and cutting-edge data skills. While learning statistical analysis, data mining, and machine learning, students also learn about important business topics. Students learn how to use data analytics in the real world through projects and jobs that they do themselves. With over 350 hours of video lessons and industry partnerships with tech giants, the program’s strong learning model ensures that students get a truly global education and are ready to meet the needs of the industry.
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Top Comparisons this week

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Amity University vs Amrita University

Data Analytics programs from top Universities

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Amity University Online
starTop Rated

Data Analytics From Amity University Online

4.6/5

UGC-DEB, AICTE, NIRF, WES, QS World University Rankings

₹ 2,25,000

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Amrita University Online
starTop Rated

Data Analytics From Amrita University Online

4.5/5

UGC, AICTE, NIRF, WES, NAAC A++, Category-1 Autonomy

₹ 1,65,000

Online BBAin Data Analytics Course Subjects/Syllabus

The Online BBA in Data Analytics course syllabus usually includes many different topics. The goal is to give students a full idea of basic business concepts and advanced data analytics methods. Here is an example of a course outline:

Semester 1

  • Accounting Fundamentals
  • Business Communication
  • Management Foundation
  • Principles of Marketing
  • Business Statistics

Semester 2

  • Individual Excellence and Social Dynamic
  • IT Applications in Business
  • Environmental Studies
  • Fundamentals of Financial Management
  • Fundamentals of Human Resource Management

Semester 3

  • Principles of Organizational Behavior
  • Essentials of Production and Operations Management
  • Research Methods for Managers
  • Fundamentals of Data and Data Management

Semester 4

  • Fundamentals of Entrepreneurship
  • Principles of Consumer Behavior
  • Operations Research
  • Data Engineering Tools & working with Big Data Architecture & its Application

Semester 5

  • Marketing in the Digital Age
  • Professional Ethics
  • Business Strategy
  • Managing Customer Relationship
  • Understanding of Statistical Analytics

Semester 6

  • Dissertation
  • Exploratory Data Analysis and Visualization using Python/Tableau for Leads
  • Data Analytics in Marketing & Market Research

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