PGDM in Business Analytics Syllabus and Subjects
The PGDM in Business Analytics Syllabus is taught over 2 years and 4 semesters, with focal points on the various analytical tools available for collecting and analysing business data and numbers. This data is utilized to generate business inferences and support decision-making in different functions of an organisation. PGDM in Business Analytics syllabus has key subjects on Data analysis, Quantitative Research Methods, Financial Management, Introduction to IT systems, etc.
PGDM in Business Analytics subjects provides students with the necessary techniques and methodologies for data analysis and inference for any business or organisation. The wide array of PGDM in Business Analytics-related subjects can be utilised in all sectors since data analysis is pervasive. This is why Business Analytics as a field is being explored by various people in the government and private sector. Job roles for PGDM in Business Analytics graduates include Business Analyst, Data Scientist, Data Engineer, Market Research Analyst, Statistician, etc. in various fields.
Table of Contents
- Semester Wise PGDM Business Analytics Syllabus
- PGDM Business Analytics Subjects
- College Wise PGDM Business Analytics Syllabus
Semester-Wise PGDM in Business Analytics Syllabus
The syllabus for PGDM in Business Analytics has been meticulously structured to provide knowledge as to the need for data analytics, its usage in businesses, and relevant tools for data analysis. The PGDM in Business Analytics syllabus showcases the various research methods and tools used to produce numbers for projections, future trends, contingency planning, resource allocations, etc. within a business.
Here are the semester-wise syllabus details for PGDM in Business Analytics:
PGDM in Business Analytics Syllabus for First-Year
The first-year PGDM in Business Analytics syllabus focuses on core fundamental aspects of the need for and components of Business Analytics like quantitative techniques, reporting tools, and analysis methods. The PGDM in Business Analytics syllabus for 1st year contains the following subjects:
|
Semester I |
Semester II |
|
Organizational Behaviour |
Financial Markets & Instruments |
|
Accounting for Management |
Quantitative Techniques II |
|
Management Principles |
Contemporary Business Environment |
|
Quantitative Techniques I |
Blockchain Fundamentals |
|
Financial Analysis & Reporting |
Human Resource Management |
|
Business Economics |
Communication Skills & Business Correspondence |
|
Intro to Management Systems |
Financial & Risk Analysis |
|
IoT (Internet of Things) |
Cloud Computing Fundamentals (Elective I) |
|
High-Frequency Finance and News Analytics (Elective II) |
PGDM in Business Analytics Practical Subjects for 1st Year
- Database Management Systems
- SPSS for Research Methodology
- Business Analytics using Python
- Data Visualisation using Tableau
PGDM in Business Analytics Syllabus for Second-Year
The focus for PGDM in Business Analytics subjects in the 2nd year is primarily on specific models, techniques, and AI tools used for Data Business Analytics. The PGDM in Business Analytics syllabus for the second year is listed below:
|
Semester III |
Semester IV |
|
Software Project Management |
Business of Artificial Intelligence |
|
Advanced Programming in R |
Supply Chain Analytics |
|
Intro to Big Data |
Strategic Management |
|
Data Mining |
Artificial Intelligence in Business |
|
SAS Modeling |
Research Project |
|
Advanced Cyber Security(Elective I) |
- |
|
Advanced Machine Learning (Elective II) |
- |
PGDM in Business Analytics Practical Subjects for 2nd Year
- Data Mining
- Hadoop, MapReduce
- Functional Analytics
PGDM in Business Analytics Subjects
PGDM in Business Analytics subjects provide analytical tools and research methodologies for students in different sectors and fields. PGDM in Business Analytics Syllabus has core subjects as well as elective subjects such as Quantitative Data, Data Mining, Organisational Behaviour, Intro to IT Systems, Business Statistics, Intro to Big Data, Strategic Management, Supply Chain Analytics, Advances Programming in R, etc.
Showcased below are the various elective and core subjects taught to students as a part of PGDM in Business Analytics course:
PGDM in Business Analytics Core Subjects
The following subjects build the key foundation for why PGDM in Business Analytics is needed. Listed below are some foundational aspects of business analytics and data research methodologies:
- Quantitative Data
- Data Mining
- Organisational Behaviour
- Intro to IT Systems
- Business Statistics
- Intro to Big Data
- Strategic Management
- Supply Chain Analytics
- Advanced Programming in R
- Managerial Economics
- Data Science
PGDM in Business Analytics Elective Subjects
Students have the freedom to choose elective subjects of their liking. PGDM in Business Analytics elective subjects offers a more specialised insight into the various contingency methods that can be used during data-related crises. Mentioned below are some elective subjects for PGDM in Business Analytics:
- Cloud Computing
- Information Retrieval
- Financial Risk Management
- Pricing & Revenue Optimisation
- Project Management
PGDM in Business Analytics Subjects in Detail
The subjects for PGDM in Business Analytics syllabus are curated keeping in mind the current needs and trends of the data industry. With the onset of Artificial Intelligence and evolving methods of number-crunching, PGDM in Business Analytics courses are constantly coming up with newer and more adaptable forms of Data and Business Analysis.
Tabulated below are some of the important PGDM in Business Analytics subjects in detail:
|
Subjects |
Topics Covered |
|
Data Mining |
Principles of Data Mining, Machine Learning, Classification, Clustering, Sequence Mining, Visualisation |
|
Organizational Behaviour |
Social Psychology, Organisational Development, Leadership, Organisational Climate |
|
Intro to Management Systems |
Operating Systems, Computer Networks, Database Management Systems, Java Programming, Data Structures |
|
Quantitative Techniques |
Descriptive Statistics, Probability Distributions, Hypothesis Testing, Correlation & Regression |
|
Intro to Big Data |
Need for Big Data, Hadoop (Data Flow, Fault Tolerance), MapReduce |
|
SAS Modeling |
Predictive Modelling with Decision Trees, Model fit statistics, Variable Selection |
|
Supply Chain Analytics |
Demand Planning, Sales & Operations Planning, Inventory Management |
|
Communications Skills & Business Correspondence |
Forms of Communications, Report Writing, Business Correspondence |
|
Advanced Programming in R |
Intro to R Programming, Scripts Documenting, Data Frames, Ecological Modeling, Mathematical Modeling |
|
IoT (Internet of Things) |
Intro to IoT, History of IoT, Requirements & Functionalities of IoT, IoT architecture & Components |
|
Software Project Management |
Project Planning, Project Estimation, Project Monitoring & Control, Tools & Techniques |
|
Data Science |
Logistics Management, Supply Chains, Business Forecasting |
PGDM in Business Analytics College Wise Syllabus
PGDM in Business Analytics course is being offered to several institutions across the country. The PGDM in Business Analytics subjects can be differentiated depending on the academic structure. The following are PGDM in Business Analytics syllabi in different colleges.
XIME PGDM in Business Analytics Syllabus
Xavier Institute of Management and Entrepreneurship is widely known for management-based programs and provides an excellent curriculum. The following is the semester-wise PGDM in Business Analytics syllabus at XIME:
|
Term 1 |
Term 2 |
Term 3 |
|
Marketing Management |
Business Analytics |
IT Project Management |
|
Organizational Behavior |
Data Visualization using Tableau |
Cloud Computing Fundamentals |
|
Financial Analysis & Reporting |
Macro-Economics |
Human Resource Management |
|
Managerial Economics |
Advanced Business Analytics |
Blockchain Fundamentals |
|
Information Systems for Managers |
Contemporary Business Environment |
IoT for Business |
|
Quantitative Techniques |
Advanced Quantitative Techniques |
Data Mining Fundamentals |
|
Learning Circles |
Advanced Marketing Management |
Data Visualization using Power BI |
|
Data Base Management Systems |
Business Communications |
Business Analytics with Python |
|
Term 4 |
Term 5 |
Term 6 |
|
Marketing Management |
Business Analytics |
IT Project Management |
|
Agile Project Management |
IT Strategy for Business |
Business Ethics |
|
Business Strategy |
Big Data Analytics using Hadoop/Hive |
Cross Cultural Management |
|
Functional Analytics (Finance) |
Cyber Security Fundamentals |
Business of Artificial Intelligence |
|
Artificial Intelligence Fundamentals |
Functional Analytics (Marketing) |
Functional Analytics ( OM & HR) |
|
Data Mining Lab Course |
Big Data Analytics using Hadoop/Hive |
Blockchain Business Applications |
|
Electives |
Electives |
Electives |
NLDIMSR PGDM in Business Analytics Syllabus
N.L Dalmia Institute of Management Studies and Research provides specialised program known as PGDM in Business Analytics that aims to develop data manipulation skills, analytical thinking, with a distinctive application-centric method for data analytics. The following is the semester-wise syllabus for PGDM in Business Analytics at NLDIMSR:
|
Term 1 |
Term 2 |
Term 3 |
|
Business Analytics |
Operations Management |
Time Series & Forecasting |
|
Marketing Management |
Business Research Methods |
Written Analysis & Communication (WAC) |
|
Quantitative Techniques |
Macro Economics |
Storytelling with Data |
|
Principles and Practices of Management |
Python for Data Analysis |
Cost and Management Accounting |
|
Data Management |
Advance Marketing Management |
Analytics UseCase - 301 |
|
Financial Accounting and Control |
Financial Management |
Advance Business Analytics |
|
Sectorial Analytics - 101 |
Business Analytics |
Tools & Techniques for Data Analysis and Modelling |
|
Micro Economics |
Sectorial Analysis - 201 |
Advanced Multivariate Techniques |
|
Term 4 |
Term 5 |
Term 6 |
|
Analytics UseCase - 501 |
Strategic Management |
Project Management |
|
Capstone Projects |
Electives ( Core Courses) |
Research Project |
|
Practical Training on Analytical Tools |
Electives (Programming in Python / Deep Learning / Machine Learning) |
Electives ( Core Courses) |
|
Summer Project |
- |
Electives ( Financial & Risk Analytics/ HR Analytics) |
|
Electives |
- |
Electives ( Retail Analytics/ Consumer Data Analytics) |
PGDM in Business Analytics Projects
The final requirement for a PGDM in Business Analytics course is conducting research projects on an industry-relevant topic. Students can use different research methods such as surveys, questionnaires, interviews, etc., and use business analytical tools for gathering inferences. Research projects are a great tool for students to gain knowledge on the real-world applications of these business analytic tools.
Some popular topics for PGDM in Business Analytics research include:
- Market Business Analysis
- Strategic Management Using Business Intelligence Tools
- Cloud Business Intelligence Solutions in MSMEs
- Applications of Data Science and Deep Learning
PGDM in Business Analytics Course Structure
PGDM in Business Analytics course’s salient features involve Business Analysis Methods and Data Generation Tools within a business context. PGDM in Business Analytics Course covers over 2 years and 4 semesters of subjects related to Business Analytics.
The course structure for PGDM in Business Analytics Subjects is as follows:
- IV Semesters
- Core Subjects
- Elective Subjects
- Practical Subjects
- Personality Development Programs
- Internship
- Research Project (Last semester)
PGDM in Business Analytics Teaching Methodology and Techniques
PGDM in Business Analytics course employs different teaching methodologies to teach subjects impactfully. Students are taught through traditional-lecture-based training, and practical demonstrations through research work, group studies, internships, etc.
A requirement in some PGDM in Business Analytics courses is a research project followed by a Viva Voce round. All these techniques drive impact toward the theoretical concepts learned within the PGDM in Business Analytics course.
Listed below are the teaching methodology and strategies for PGDM in Business Analytics:
- Traditional Classroom-Based Teaching
- Seminars
- Case Studies
- Lab Courses
- Internships + Research Projects
PGDM in Business Analytics Books
PGDM in Business Analytics course books explain the theoretical concepts behind Data and Business Analytics in depth. PGDM in Business Analytics course books are credible sources of knowledge for students aiming to gain a thorough comprehensive understanding of the need for Business Analytics, the various tools used for analysis, and how to utilise data concepts for business advancement.
Mentioned below are the popular course books used in PGDM in Business Analytics course:
|
Subjects |
Book Name |
Authors |
|
Organisational Behaviour |
Organisational Behaviour |
Stephen P. Robbins |
|
Database Management |
Data Warehousing: Fundamentals for IT Professionals |
Paulraj Ponniah |
|
Quantitative Techniques |
Statistics for Business & Economics |
D.R. Anderson, D.J. Sweeney, T.A. Williams |
|
Management Principles |
Management & Organisational Behaviour |
B.R. Rudaani |
|
Financial Services |
Financial Markets & Instruments |
M.Y. Khan |
|
SPSS Research Methodology |
Business Statistics |
N. Bajpai |
|
SAS Modeling |
Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications |
S.S. Kattamuri |
|
Big Data |
Introduction to Data Mining |
P. Tan, N. Steinbach, Vipin Kumar |
|
Data Mining |
Business Intelligence: A Managerial Approach |
S.E. Turban, D.D. Ramesh, David King |
FAQs on PGDM Business Analytics Syllabus and Subjects
Q: What are the PGDM in Business Analytics subjects?
A: The main subjects of study in PGDM in Business Analytics cover theoretical concepts of Business Analysis such as Data Mining, SAS Modeling, Financial Management, IoT, Statistics, Supply Chain Analytics, SPSS, Business economics, Blockchain fundamentals, etc.
Q: What is Business Analytics in PGDM?
A: PGDM in Business Analytics uses theoretical knowledge, practical skills, and various tools and applications to drive data insights for making business decisions concerning Sales, Marketing, Human Resources, Finance, etc.
Q: Is PGDM in Business Analytics hard to study?
A: Since PGDM in Business Analytics concerns itself with numbers and mathematical equations, anybody not familiar with these aspects may have difficulty understanding the course subjects. Aspirants with acute mathematical skills will definitely enjoy studying PGDM in Business Analytics course subjects.
Q: Is PGDM in Business Analytics course worth it?
A: PGDM in Business Analytics is a very lucrative course with high-paying job opportunities such as Business Analysts, Data Analysts, Data Scientists, etc. The average salary for a fresh graduate in a PGDM in Business Analytics course is 6 LPA. As the need for data analysis is present in every business, the need for such professionals is only increasing with time.
