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Post Graduate Diploma in Business Analytics (PGDBA)

From One Of The Top 50 B-schools in India

Seize the Opportunity!

Ride the Wave of Business Analytics Market Growth to Achieve Unprecedented Success.

PGDBA is a 9-month program designed to meet the growing industry’s requirement.

The Business Analytics Market is set to reach $420 Billion by 2027, with a projected CAGR of 10.9%.

Mode of Teaching:




Placement Assistance




Engaging & Interactive Online Sessions.


Discover knowledge through Innovative Case Studies and Assignments.


Insightful live streaming sessions from Industry Experts


Experience the Business Analytics through Fascinating Industrial Visits.


Develop skills on Real-World Projects.


Give easy solutions to data-centric problems.

Apply advanced analytics frameworks and methods

Hands on learning experience

Deliver Machine Learning Solutions

Story-telling through Data visualisation

Industry insights from Experts


Why Learn Business Analytics?

Take decisions on Data Insights.


Excellent career opportunities.


Become an invaluable asset to organizations.


Drive Business with predictive analytics


Stay Ahead with Advanced Analytics Skills.


Leverage through data-driven strategies.


Develop analytical thinking skills.


Collaborate with cross-functional teams for better business outcomes.


Utilize new age tools and technologies for data analysis.


Understand customer behaviour and preferences.


Get Hands-On Learning On In-Demand Analytics Tools

Who is this Program for?

Ambitious individuals aspiring for top-tier job opportunities.

Students aiming to forge a career in the dynamic realm of Business Analytics.

Working professionals eager to build a comprehensive expertise in the field of Business Analytics.

Entrepreneurs wanting to enhance skills like decision-making, cost-reduction and business development.

Eligibility :

This course is open to all graduates & final year (appeared) students. Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background.

Examination :

At the end of each semester, there shall be Term End Examination for every course. It shall be based on entire syllabus and will be further divided into 50 marks of CCA, 25 marks of term end written exams and 25 marks of term end practical exams.


Business Analyst

Business Analyst Industry Expert

Business Analyst Project Manager

Data Analyst

Data Scientist

Predictive Modeller

Qualitative Analyst

Market Research Analyst

Technical Team Leader

Big Data Analyst

Data Warehousing Expert

Business Intelligence Expert

100% Placement Assistance

Career Guidance By Experts

Pre-Placement & Placement Activities

Industrial tie-ups for practical training, internships, and certifications

3 Months Internship in Forensic Accounting specialized companies



Advanced Diploma in Business Analytics Course Structure

Semester I

  • Statistics Essentials
  • Basic Business Analytics Using R
  • Programming in Python
  • Visual Analytics
  • Elective-I

Any two from Electives Below.

  • Workforce Analytics
  • Financial Analytics
  • E-Commerce Analytics-I

Semester II

  • Advanced Statistical Methods using R
  • Artificial Intelligence in Business Applications

Any two from Electives Below.

  • Marketing Analytics
  • Social Media, Web and Text Analytics
  • E-Commerce Analytics-II
  • Industry Internship Project


Advanced teaching methodology

Fully equipped world class campus

Spacious classroom with modern teaching equipments

400 seater AC auditorium

Well stocked library

Top IT infrastructure

Wi-Fi, broadband internet enabled campus

Well-equipped and maintained computer laboratories



Dr Punam Bhoyar

Dr. Neha Ramteke

Business Analytics Overview

Why Study Business Analytics?

  • "We are delighted to launch this Diploma on Business Anolytics. This Program in Business Analytics is designed to provide an in-depth and practical working knowledge of analytics and its applications in solving real life business problems to the working professionals. The participants will learn how to use statistical models, text mining and big data techniques for modelling real world and making sound data-driven business decisions. Analytics is the evolving field which has come into focus as enormous amount of data is getting generated in the businesses and on the internet. The volume, variety and velocity of the data is increasing and it is imperative that to analyze such data one needs to be equipped with understanding of Analytics, tools and application in various businesses. The businesses who are utilizing the Big Data and using the Business Analytics to process the data to gain insights into the various aspects of business will have advantages over its competitors. The students who will be entering into such dynamic corporate world and the professionals who are already working in corporate must upgrade themselves to understand the Business Analytics and its application in the business. This diploma is an opportunity to equip the participants to make them understand Analytics and its application in the business, so that they will be able to apply it in various businesses and gain the advantages."

Which Business Analytics Certifications Are Important?

  • Certified Analytics Professional (CAP)
  • IIBA Certified Business Analysis Professional (CBAP)
  • IIBA Entry Certificate in Business Analysis (ECBA)
  • IIBA Certification of Competency in Business Analysis (CCBA)
  • IIBA Agile Analysis Certification (AAC)
  • IIBA Certification in Business Data Analysis (CBDA)
  • IQBBA Certified Foundation Level Business Analyst (CFLBA)
  • PMI Professional in Business Analysis (PBA)
  • Certified Professional for Requirements Engineering (CPRE)
  • HBS Online Business Analytics Programme

What are the types of Business Analytics techniques?

Business analytics techniques can be categorized into four segments:

  • Descriptive Analytics: This technique provides a description of the past or present state of the organization's activities.
  • Diagnostic Analytics: This technique identifies factors or causes behind past or current performance.
  • Predictive Analytics: This technique utilizes various business analytics tools to forecast figures and outcomes.
  • Prescriptive Analytics: This technique offers specific recommendations to help businesses advance their growth.

What is the difference between Data Analytics & Business Analytics?

  • Data analytics involves analyzing data sets to make informed decisions. Business analytics is a subset that focuses on achieving business goals and gaining valuable insights. It utilizes data analytics to drive strategic planning and decision-making in the business context.

Business Analytics FAQs

You Asked, We Answered!

  • Business analytics is the practice of using data analysis and statistical methods to gain insights, make informed decisions, and drive business performance.

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