MBA Data Analytics Syllabus and Subjects 2024
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 |
- |
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
Also, Check: Top Reasons to Pursue an MBA
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
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
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
Also, Check: MBA Project Topics
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 |
Top MBA in Data Analytics Colleges
Top Management Entrance Exams
Exam Date: May 19, 2024
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.
