MBA Data Analytics Syllabus and Subjects 2024

Duration: 2 Years
Avg Fees: ₹3 - 27 LPA

The MBA Data Analytics syllabus is divided into 4 semesters consisting of core and elective subjects. The course focuses on helping students gain advanced knowledge about Machine Learning and AI, Bayesian Statistics, Data Governance and Quality, etc. MBA Data Analytics subjects include industry-relevant topics like Database Management, Smart Grid Analytics, Business Performance Metrics, Asset Management and Predictive Assessment, etc.

Students have to do several job-oriented projects, attend workshops, and take up data programming practical sessions as part of the MBA Data Analytics course. The problem-solving skills developed during the course help candidates bag job offers in top IT companies, product-based companies, manufacturing industries, etc. 

Table of Contents

Semester-wise MBA Data Analytics Syllabus

The MBA Data Analytics course improves the student's knowledge of big data, data mining, database management, data science, and data warehousing. Semester-wise MBA Data Analytics syllabus PDF is designed with the inclusion of the below subjects:

First-Year MBA Data Analytics Syllabus

The MBA in Data Analytics syllabus in the first year covers concepts on basic management principles and statistics for business development. Listed below are 1st year MBA in Data Analytics subjects:

Semester I

Semester II

Fundamentals of Business Statistics

Business Legal Aspects

Financial Management

Marketing Management

Managerial Principles

Human Resource Management

Fundamentals of Research Methodology

Strategic Management

Understanding Data Management and Preparation

Operations Management

Business Policy and Strategic Management

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MBA Data Analytics First-Year Practical Subjects

Listed below are some practical subjects covered in the first-year MBA Data Analytics course:

  • Business Analytics Lab
  • R-Programming Lab
  • Python Programming Lab
  • Spreadsheet for Managers
  • Business Valuation Lab

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Second-Year MBA Data Analytics Syllabus

Several elective topics on SAP, Spreadsheet Modeling, etc are taught in the MBA in Data Analytics syllabus in the second year. Students will also complete two research-based projects in the final year. Listed below are 2nd-year MBA Data Analytics subjects:

Semester III

Semester IV

Business Intelligence

Big Data Analytics

Machine Learning

SAS and Hadoop Programming

Software Project Management

Electives

Design and Analysis of Algorithms

Project - 2

Electives

-

Project - 1

-

MBA Data Analytics Second-Year Practical Subjects

Listed below are some practical subjects covered in the second-year MBA Data Analytics syllabus:

  • Data Visualization Lab
  • SAS and Hadoop Programming

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MBA in Data Analytics Subjects

MBA in Data Analytics subjects are categorized as core and elective subjects. Seminars, research work, lab practicals, and workshops are key parts of the data analytics course. Students should select the elective subjects based on their area of interest, ambitions, and career growth. Some of the core & elective subjects under MBA in Data Analytics syllabus are given below:

Core MBA Data Analytics Subjects

Listed below are some core subjects included in the MBA Data Analytics course:

  • Corporate Legal Environment
  • Accounting for Managers
  • Database Management System
  • Research Methodology
  • Business Intelligence
  • Applied Operations Research
  • Big Data Analytics
  • Project Management

Elective MBA Data Analytics Subjects

Listed below are some elective subjects included in the MBA in Data Analytics syllabus:

  • Social and Web Analytics
  • Advanced Excel
  • Natural Language Processing
  • HR Analytics
  • Operations and Supply Chain Analytics
  • Retail Analytics
  • Marketing Analytics

MBA Data Analytics Lab Subjects

Given below are the lab subjects covered in the MBA Data Analytics course:

  • R-Programming
  • Social Analytics
  • Web Analytics
  • SAP HCM
  • SAP FICO
  • Spreadsheet Modeling
  • Python
  • Business Analytics

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MBA Data Analytics Subjects in Detail

MBA Data Analytics subjects PDF provides students with a comprehensive understanding of statistical analysis, data mining techniques, predictive modeling, and data visualization. The topics covered in the MBA Data Analytics syllabus PDF are explained below in detail:

MBA Data Analytics Subjects

Topics Covered

Database Management System

Concept of system, Conventional file processing system, Hierarchical data model, Network data model, guidelines for mapping conceptual data model, Introduction, Overview, and History of NoSQL, etc

Introduction to Cloud

Introduction to Cloud Computing, Introduction to AWS Services, Getting Started with Microsoft Azure, Web Apps, and Cloud Services, etc

Business Intelligence

Introduction, Framework of Business Intelligence, Data Warehousing – Definition, and Concepts, Business performance management, Data mining for business intelligence, etc

Machine Learning

Introduction: Machine Learning – Types – Supervised Learning, Probability theory, Generative Models for discrete data, Bayesian Statistics, Frequentist Statistics, etc

Big Data Analytics

Introduction to big data, Mining data streams, the Hadoop Distributed File System, Applications on Big Data Using Pig and Hive, Predictive Analytics, etc

College Wise MBA Data Analytics Syllabus

The MBA Data Analytics course outline may differ from college to college depending on the curriculum and program objectives. To learn more about the program, students can download the MBA in Data Analytics syllabus PDF 2023 from the university website. The best colleges' MBA Data Analytics syllabus is listed below:

Pondicherry University MBA in Data Analytics Syllabus

The MBA Data Analytics program at Pondicherry University includes a thorough curriculum that covers all aspects of data analytics, such as data analytics core, data management, business intelligence, etc. The list of MBA Data Analytics subjects offered by Pondicherry University is provided below bifurcated into four semesters:

Semester I

Semester II

Management Principles

Fundamentals of Business Research Methods

Fundamentals of Managerial Economics

Business Legal Aspects

Fundamentals of Business Analytics

Techniques in Data Mining

Basics of Marketing Management

Fundamentals of Operations Research

Fundamentals of Data Science and Analytics

Corporate Finance

Fundamentals of Design Thinking

Python Basics

 

Semester III

Semester IV

Project Management Softwares

Understanding Big Data Analytics

Concepts of Machine Learning

Hadoop Programming and SAS Lab Sessions

Fundamentals of Business Intelligence

Elective-III

Project Work-I/Viva

Elective-IV

Data Visualization Lab Sessions

Project Report-II/Viva

Elective-I

-

Elective-II

-

Symbiosis Center for Information Technology MBA in Data Analytics Syllabus

The SCIT offers MBA in Data Analytics covering managerial and technical aspects used in businesses and industrial projects. The list of MBA Data Analytics subjects offered by SCIT is provided below bifurcated into four semesters:

Semester I

Semester II

Fundamentals of Business Statistics

Concepts of Data Organization

Financial Management

Fundamentals of Marketing Management

Managerial Principles

Data Modeling and Visualization

Fundamentals of Research Methodology

Economics for Managers

Understanding Data Management and Preparation

Fundamentals of Strategic Management

Elective-I

Elective-II

Semester III

Semester IV

Summer Internship Program

Fundamentals of Corporate Governance

Fundamentals of Human Resource Management

IoT Analytics

Concepts of Data Privacy

Understanding Sustainability Analysis, Reports, and Application

Data Networks

Elective-IV

Fundamentals of Design Thinking Skill

Elective-V

Elective-III

Project Report/Viva

MBA in Data Analytics Projects

Projects in MBA Data Analytics can be on different topics such as Data Analysis, Big Data, Hadoop, Apache, and much more. Group projects train students to work with team coordination and develop leadership skills. The project has to be evaluated before ending the 4th semester. Some of the popular MBA Data Analytics projects are:

  • Market Survey for Segmentation
  • Customer Review Sentiment Analysis
  • Forecasting the Sales of a Supermarket
  • Big Data for Cybersecurity
  • Amazon Web Services Analysis
  • Data Warehouse Administration and Design

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MBA in Data Analytics Course Structure

The MBA Data Analytics syllabus PDF is framed to upskill students in such a way that they are industry-ready by the time of graduation. Students will understand all dynamics of data analytics through projects and case studies taught in the course. The course structure as mentioned in the MBA in Data Analytics syllabus PDF is as follows:

  • 4 semesters
  • Core & Elective Subjects
  • Internship
  • Mini Project
  • Major Project

MBA in Data Analytics Teaching Methodology and Techniques

The Data Analytics MBA syllabus is taught by well-trained faculties, with adequate study materials and research. Along with theory, practical training is what gives students a clear understanding of the course. Listed below are a few teaching methodologies and techniques:

  • Group Projects
  • Practical Sessions
  • Case Studies
  • Research Papers
  • Thesis Writing 
  • Online Workshops
  • Industry Visits

MBA in Data Analytics Reference Books

Listed below are some of the best data analytics reference books for students’ reference:

Books

Topics Covered

Authors

Python for Data Science

Time Series Data, Text Data Analysis, Data Cleaning, etc.

Wes McKinney

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Data Exploration and Visualization, Market Basket Analysis, Data Mining Future Trends, etc.

Galit Shmueli, Nitin R. Patel, and Peter C. Bruce

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Machine Learning Concepts, Predictive Modeling, Data Mining Techniques, etc.

Tom Fawcett

Big Data MBA: Driving Business Strategies with Data Science

Business Strategy and Data, Data Analytics Frameworks, Data Algorithms and Techniques, etc.

Bill Schmarzo

MBA in Data Analytics Fee Structure

FAQs on MBA in Data Analytics Syllabus and Subjects

Q: What are the core subjects included in the MBA Data Analytics syllabus pdf?

A: Big Data Analytics, Data Management Systems, Business Intelligence, etc are some core subjects taught in the course.

Q: What is the 1st year syllabus of MBA Data Analytics?

A: The 1st year syllabus includes subjects such as Operations Management, Finance Management, Strategic Management, etc.

Q: What are the elective topics covered in the MBA Data Analytics course?

A: Social and Web Analytics, Retail Analytics, Advanced Excel, etc are some elective subjects taught in the course.

Q: What are some best projects on MBA Data Analytics?

A: Big Data for Cybersecurity, Data Warehouse Administration, etc are some top project topics for students.

Q: What are the important books for students to refer to in MBA Data Analytics?

A: Data Analytics: Using Big Data Analytics for Business to Increase, Business Analytics: Data Analysis & Decision Making, etc are some promising books for students to study.

Q: Is MBA Data Analytics challenging to study?

A: No, students interested in programming, statistics, and data analysis will enjoy studying the course.

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