MBA Data Analytics syllabus and subjects develop students' skills in both essential business management and specialization in data analytics. The course improves the student's knowledge of big data, data mining, database management, data science, and data warehousing. 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. Other than that, aspirants are also taught professional English, soft skills, seminars, practicals, and projects.

Semester Wise MBA in Data Analytics Syllabus

MBA in Data Analytics syllabus core subjects include corporate legal management, basic introduction about the syllabus specialization, business development skill, 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. The 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
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 a key part of the data analytics course. Students should select the elective subjects contingent on their area of interests, ambitions, and career growth.
Core Subjects:

  1. Corporate Legal Environment
  2. Accounting for Managers
  3. Applied Statistics for Decision Making
  4. Research Methodology
  5. Management of Organizations
  6. Applied Operations Research
  7. Business Communication
  8. Project Management

Elective Subjects:

  1. HR Planning and Development Management of Industries
  2. HR Analytics
  3. HR Industrial Psychology Performance Management
  4. SAP HCM
  6. Spreadsheet Modelling
  7. Stochastic Modelling
  8. Foundation Course in Business Analytics

Lab Subjects:

  1. R-Programming
  2. Social Analytics
  3. Web Analytics
  4. SAP HCM
  6. Spreadsheet Modelling
  7. Stochastic Modelling
  8. 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; electives subject students can select the specialization according to their area of interest and the lab section is the practical class. The course upskills students the basic knowledge of business administrations, data mining, data analyzing, data warehousing, data storage, identifying the 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 methodology 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, and 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

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