MBA in Data Analytics Syllabus and Subjects

Duration

2 Years

Average Fees

INR 3 - 27 Lakhs

Updated on Jan 4, 2023 by Kripal Thapa

MBA Data Analytics syllabus and subjects develop students' skills in both essential business management and specialization in data analytics. The first two semesters' syllabus concentrates on core subjects that are all about business management principles and introduction subjects to data analytics. The next two semesters' syllabus has some elective subjects chosen as per their area of interest that concentrate on the course specialization.

Semester Wise MBA in Data Analytics Syllabus

MBA Data Analytics syllabus core subjects includes corporate legal management, basic introduction to the syllabus specialization, business development skills, business communication, human resource, and much more. The elective subjects include foundation courses in data cleaning, normalization and data mining, business analytics, and web analytics.

MBA in Data Analytics course improves the student's knowledge of big data, data mining, database management, data science, and data warehousing. MBA Data Analytics syllabus structure is divided into four semesters, which train the basics, core, electives, and project. Semester-wise MBA Data Analytics subjects are listed below:

MBA Data Analytics First Year Syllabus
Semester I	Semester II
Communication Skill Development	Business Communication
Corporate Legal Environment	Project Management
Accounting for Managers	Macroeconomics in Global Economy
Applied Statistics for Decision Making	Financial Analysis and Reporting
Business Skills Development	Research Methodology
Management of Organizations	Applied Operations Research
Business Policy and Strategic Management	Applied Business Analytics

MBA Data Analytics Second Year Syllabus
Semester III	Semester IV
Econometrics	Data Cleaning, Normalization, and Data Mining
Ethical and Legal Aspects of Analytics	R Programming
Project - 1	Project - 2
SAP HCM	SAP FICO
Spreadsheet Modelling	Stochastic Modelling
Specialization Group A - Human Resource Management	Specialization Group A - Human Resource Management
Specialization Group B – Foundations	Specialization Group B – Foundations
Specialization Group C - Data Analytics	Specialization Group C - Data Analytics

MBA in Data Analytics Course Subjects

MBA in Data Analytics subjects is categorized as core, elective, and lab subjects. Seminars, research work, lab practicals, and workshops are key part of the data analytics course. Students should select the elective subjects contingent on their area of interest, ambitions, and career growth.

Core Subjects

Given below are the core subjects in MBA in Data Analytics:

Corporate Legal Environment
Accounting for Managers
Applied Statistics for Decision Making
Research Methodology
Management of Organizations
Applied Operations Research
Business Communication
Project Management

Elective Subjects

Given below are the elective subjects in the course:

HR Planning and Development Management of Industries
HR Analytics
HR Industrial Psychology Performance Management
SAP HCM
SAP FICO
Spreadsheet Modelling
Stochastic Modelling
Foundation Course in Business Analytics

Lab Subjects

Given below are the lab subjects in the course:

R-Programming
Social Analytics
Web Analytics
SAP HCM
SAP FICO
Spreadsheet Modelling
Stochastic Modelling
Database Management System Analysis

MBA in Data Analytics Course Structure

The MBA in Data Analytics course consists of three major parts: core subjects, elective subjects, and lab subjects. The core subjects are the mandatory subjects to complete; for electives subjects students can select the specialization according to their area of interest and the lab section is the practical class. The course upskills students with the basic knowledge of business administration, data mining, data analysis, data warehousing, data storage, identifying patterns, and much more. The course structure is:

Core Subjects
Elective Subjects
Lab Section
Seminar
Workshops
Research Paper Analysing
Internship
Mini Project
Main Project

MBA in Data Analytics Teaching Methodology and Techniques

MBA in Data Analytics is a business administration and management course to help students adroit in data handling. Teaching methodology should combine well-trained faculties, adequate study materials, and teaching new technologies, tools, and techniques. Along with theory, practical training is what gives students a clear understanding of the course. Students must be well-educated to task on every portion of the course. Listed below are a few teaching methodologies and techniques:

Group projects
Practical sessions
Research papers
Thesis writing
Online Workshop
Lab sessions
Data analysis
Data Programming
Big data

MBA in Data Analytics Projects

MBA in Data Analytics course is all about the study of managing information, data statistics, finding data patterns, quantitative analysis, client relationships management, database management, and much more. Projects in MBA Data Analytics may be worked on different topics like data analysis, big data, Hadoop, apache, and much more. Team projects train students to work with team coordination and research paper surveys to learn something new that will enhance their creative ideas and innovations.
Popular MBA Data Analytics projects are:

Market Survey for Segmentation
Analysis of Sentiments
Text Mining
Big Data for Cybersecurity
Analysis of Tourist Behaviour
Price Forecasting

MBA in Data Analytics Reference Books

Listed below are the best data analytics reference books suggested by our experts:

Books	Authors
Data Analytics: Using Big Data Analytics for Business to Increase	Adams, Matthew
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner	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	Tom Fawcett
Business Analytics: Data Analysis & Decision Making	S. Christian Albright and Wayne L. Winston
Big Data MBA: Driving Business Strategies with Data Science	Bill Schmarzo