Key Program Highlights

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Batch Starts:

Batch 1 - 30th July 2018

Batch 2 - 30th Oct 2018

Batch 3 - 09th Jan 2019

Batch 4 - 26th March 2019

Batch 5 - 25th June 2019


11 Months

Preparatory Session:

15 days to prepare yourself prior to start of program


7-10 Hours per week



Post Graduate Diploma in Business Analytics & Intelligence (PGD-BA&I) awarded by Amity University in collaboration with Thunderbird School of Global Management, Arizona State University (ASU)


Rs. 135000/- (All-Inclusive)

Options- One Time Payment, Cardless EMI Payment


Online + Optional Weekend Campus Sessions


  • 1-1 Mentoring
  • Industry-driven comprehensive curriculum
  • 24/7 access to study material & video lectures
  • Live interactions with Business leaders & Analytics experts
  • Real-world Projects & Case Studies
  • Capstone Analytics Project
  • Career guidance and support
  • Get Alumni Status from Amity University

About Program

Amity University’s Post Graduate Diploma in Business Analytics & Intelligence (PGD-BA&I) has been designed in collaboration with Thunderbird School of Global Management, Arizona State University (ASU).

    • Asia’s No. 1 online education platform
    • Ruling in the area of online education for more than two decades
    • Only internationally accredited online university with over 200,000 international students across 135 countries
    • Most preferred online degree by employers and recruiters across the globe
    • Ranked No. 1 in the US for its innovative education programs
    • Courses are developed by award-winning faculty
    • Recognized among the world’s most prestigious universities
    • Inspires next generation of leaders to innovate and advance pioneering research
    • #4 International Clients - Custom Programs by Financial Times 2015
    • #7 Overall Executive Ranking US Schools by Financial Times 2015
    • #9 “Faculty Diversity” - Custom Programs by Financial Times 2015
    • #10 “Overseas Programs” - Custom Programs by Financial Times 2015
    • #15 Overall Executive Education Ranking by Financial Times 2015
    • #1 International Business School by U.S. News & World Report annual rankings 2014
  • Why Study Business Analytics?
    • Ranked #5 high paid jobs in India by Report of Indian Express - 2017
    • According to a study, India has job vacancies for 50,000 - 1,00,000 data analytics professionals
    • Contributes to your organization’s success and helps you lead with unparalleled ideas
    • Prepares you to be a 21st century leader and be the core decision-maker of your organization
    • Global shortage of Business Analysts and Data Scientists puts you in high demand
    • Gets you a competitive edge to work with large, professionally managed corporates and be paid more than your counterparts
  • How will PGD-BA&I help you?
    • You develop data literacy mindset and understand the dynamics of progressive, fast-paced business environment.
    • You learn deep analytical skills to apply in your work or further studies.
    • You master technology trends of Data Management, Statistics, Big Data and Machine Learning.
    • You gain expertise in analyzing data and mining it for business insights.
    • You build confidence to address real-life problems in areas like retail, insurance, operations, finance, banking and telecom.
  • From Thunderbird School of Global Management, Arizona State University
    Dawn Feldman

    Executive Director & Chief Operating Officer, Executive Education at Thunderbird School of Global Management

    "The partnership between Thunderbird and Amity University builds knowledge through a cutting edge analytics program and builds connectivity through the extended global network of alumni for students to access"

    Dr Ted Cross

    Professor and Academic Director, Thunderbird School of Global Management

    "In today's fast paced global economy understanding how to interpert data is paramount. Together,Amity University and Thunderbird are leading the way to bridging the gap between management knowledge and analytics know how"

Program Structure & Format

Candidates can complete the 11-months course of study through:
  • Unlimited access to recorded video lectures and reading material from faculties with real-world expertise
  • Regular on-campus contact sessions with industry mentors and leading Analytics professionals to solve queries or doubts
  • Online coursework that includes case studies, mini-projects and assignments
  • Capstone Analytics Project to work on practical business cases
  • Instructor-led practice sessions to learn popular tools and languages covered in the program
Our Campuses for Contact Classes
  • Amity Bangalore, Kormangala

  • Amity Chennai, Gopalapuram

  • Amity Hyderabad, Punjagutta

  • Amity Mumbai, Malad & Kurla

  • Amity Pune, Senapati Bapat Road

  • Amity Noida, Sector 125

  • Amity Dubai, UAE

  • Amity Singapore, 3 Kay Siang Road

If the contact classes are not available in your city, don’t worry. You will be provided access to the recorded lectures of contact sessions of another nearby city.

Eligibility & Selection

  • For whom
    • Working professionals in IT/Finance/Statistics
    • Entrepreneurs looking to enhance their skills in Analytics
    • Fresh graduates from Engineering / Mathematics background
    • Final year students completing their graduation on or before April 2019
  • Eligibility
    • Bachelor’s degree in any discipline with a minimum of 50% aggregate marks is compulsory.
    • Candidates with Mathematics, Statistics background will be given preference.


Our team of world-class faculties have years of experience as professional trainers and have worked closely with analytics adopters across various sectors. Their industry exposure will help you to understand the everyday nitty-gritty to be a successful Business Analyst or Data Analyst.

Dr. Uday Kulkarni

  • Associate Profesor - WP Carey Business School, Arizona State University
  • Ph.D. University of Wisconsin-Milwaukee 1989
  • M.B.A. Indian Institute of Management (IIM - Calcutta) 1979
  • B.S. Indian Institute of Technology 1977

Prof. Alan Simon

  • Senior Lecturer - Arizona State University
  • M.S. University of Arizona 1982
  • B.S. Arizona State University 1980

Ashish Gilotra

  • 20+ Years of Experience in Machine Learning
  • ME - BITS Pilani - Software Engineering
  • Ex, Head ML & AI (HT Media), VP - Hughes

Dr. Suresh Varadarajan

  • Program Co-Director
  • 26+ Years of Experience
  • PhD, Engineering - Marquette University
  • BE, IISc Bangalore | MTech, IIT Kanpur

Dr. Karthic Narayanan

  • Program Co-Director
  • MSc & PhD - Nanyang Technical University (NTU)
  • Experience in Modelling using Stats, Algo Modelling
  • Has worked with leading Hedge Funds for Advisory in Futures, Commodities & Options

Course Curriculum 11 Months | 9 Modules

  • Module I – The Science of Data-Driven Decision Making
    • Descriptive Analytics
      1. Data types and Structures
      2. Variables and Scales of measurement
    • Descriptive Statistics
      1. Measures of Central Tendency
      2. Measures of Dispersion
    • Data Manipulation
      1. Data Structures: Basic & Advanced
      2. Data Cleaning Imputation& Transformation
    • Data Visualization
      1. Graphical Parameters
      2. Base R Graphics
  • Module II – Inferential Statistics
    • Measuring and Modelling Uncertainty
      1. Basic concepts of probability
      2. Bayes' Theorem
    • Random Variables and Probability Distributions
      1. Discrete Random Variables
      2. Continuos Random Variables
    • Sampling & Estimation
      1. Estimators
      2. Cental Limit Theorem
      3. Confidence Intervals
      4. Hypothesis Testing
  • Module III – Predictive Analytics
    • Predictive Analysis
      1. Correlation
      2. Variance
      3. Co-Variance
    • Linear Regression
      1. Important terms
      2. Assumption
      3. Statistical View
      4. Use-case
    • Multiple Linear Regression
      1. Use-case
      2. Multi-collinearity
    • Logistic Regression
  • Module IV – Supervised Learning Techniques
    • Supervised Learning Techniques and Discriminant Analysis
      1. Introduction on Supervised Learning
      2. LDA Algorithm
      3. Covariance Matrix
    • k-Nearest Neighbour
    • NAive Bayes Classifier
    • Decision Tree
  • Module V – Dimension Reduction Techniques
    • Principal Component Analysis
      1. Case Study:-Fisher's Iris Dataset using PCA
    • Factor Analysis
      1. Rotations
        1. Oblique Rotations
        2. Orthogonal Rotations
      2. Explorartory Factor Analysis
  • Module VI – Clustering
    • Unsupervised Learning
      1. Clustering Techinques
    • Association Rules
      1. Market Basket analysis
    • Prescriptive Analysis
  • Module VII – Forecasting Techniques
    • Time Series Forecasting
    • Auto Regression, Moving Averages and ARIMA
  • Module VIII – Ensemble Learning Techniques
    • Bagging
    • Boosting
  • Module IX – Data Mining and Predictive Analytics
    • Data Mining Overview
    • Data Mining with Traditional Tools and Technologies
    • Data Mining with Big Data and Advanced Analytics
    • Bringing World-class Data Mining to your Organization

Case Studies

Case 1

Demand Forecasting for Perishable Short Shelf Life Home Made Food at iD Fresh Food

Case 2

Improving Customer Engagement at VMWare through Analytics

Case 3

Predicting Net Promoter Score (NPS) to Improve Patient Experience at Manipal Hospitals

Case 4

Consumer Choice between House Brands and National Brands in Detergent Purchases at Reliance Retail


Case 5

A Game of Two Halves: In-play Betting in Football

Case 6

Markdown Optimization for an Indian Apparel Retailer

Case 7

Pricing of players in the Indian Premier League

Case 8

Customer Analytics at Flipkart.Com

download detailed syllabus

You will receive the download link in your email.

Industry Insights

Industry Insights from our Career Partner
  • The demand for Data Analytics professionals has doubled in last one year.
  • This demand will grow exponentially as more than 70% of companies surveyed said they plan to start hiring of Data Professionals in next three years.
  • Data analytics and Business Intelligence are popular skills, along with skills such as Data Science, Machine Learning and Data Engineering.
Get exclusive career opportunities in Data Analytics domain via our partner
Total companies hiring: 5000+ including
Actively hiring in Data Analytics domain: 100+ including

Application Process

  • 1. Fill up the Application Form

  • 2. Screening call from Admission Director's Office basis on Profile

  • 3. Final Application to be shared with Admission Committee for final selection

Program Fees

135000 /- (All-Inclusive)

  • One Time Payment

    Rs. 135000/-

    • No Interest EMI Option
    • Faster payment with Credit Card, Debit Card, Net Banking
  • Cardless EMI Payment


    • Pay Hassle free Zero percent EMI in 12 months.
    • No Credit Card required

Learning Outcomes

By the end of the PGD-BA&I program, you will be able to
  • Possess the highly marketable skills to use leading statistical methods and data visualization tools for managing dynamic data
  • Leverage your own innovative ability to use descriptive analytics and predictive analytics, set up a hypothesis test and understand non-parametric tests
  • Know how to derive meaning from Big Data and apply emerging popular technologies and analytical techniques or models
  • Gain the expertise to use a wide range of modern statistical tools and software packages like R, Python, Spark, Excel, Tableau, MySQL, Power BI
  • Enable a seamless absorption in applying Analytics to real-world business contexts and communicate effectively the actionable plans to key stakeholders


Earn a Certificate of Post Graduate Diploma in Business Analytics & Intelligence (PGD-BA&I) from Amity University

Add the internationally accredited certificate to your CV and improve your job / business prospects


Earn a Certificate of Post Graduate Diploma in Business Analytics & Intelligence (PGD-BA&I) from Thunderbird School of Global Management, Arizona State University

Add the internationally accredited certificate to your CV and improve your job / business prospects

Case Studies & Assignments

  • Case Studies
    • Get hands-on experience with real-life case studies published by IIM, Bangalore
    • Build a portfolio of demonstrable work by referring to these cases published at Harvard Business Publishing’s case portal
  • Study Material & Resources
    • Grab the hard copy of the insightful book “Business Analytics: The Science of Data - Driven Decision Making” by top prominent Analytic Academician U Dinesh Kumar.
    • The book covers diversified concepts with relevant case studies and addresses all components of Analytics in 17 chapters.
  • Assignments
    • Uncover opportunities to think and learn about ideas and topics and ask questions
    • Submit assignments at the end of each module and test your conceptual knowledge
    • Assess your progress with grade/score of each assignment that contributes to the overall grade

Projects & Quizzes

  • Online Quiz
    • Be responsible for your own learning with optional online quizzes at the end of each module
    • Test your subject understanding and determine your readiness for program completion
  • Capstone Project
    • Capstone Analytics Project carries 40% of weightage in the overall assessment
    • Get an opportunity to apply tools and techniques learnt in the program on real-world data science problems
    • Have access to continuous guidance from a Project Mentor to execute the project
    • Submit a detailed report along with a recorded presentation to achieve success in the project
  • Kaggle Competition
    • Challenge yourself with real-world machine learning and data science competitions on Kaggle
    • Get access to high quality datasets and use the tools or methods of your choice
    • Make and submit predictions to get real-time scoring
    • Build your confidence with our special competition mentors who will push you to test your limits


Class performance will be based on following components:

  • Analytics projects across various domains
  • Capstone Project
  • Module-based Assignments
  • Quizzes

Faculty members may choose a few or all above stated components.

Career Assistance

  • Enhance your career aspirations with assistance from our Virtual Job Fair, existing Corporate and Alumni network, and recruitment partners like and many others.
  • On successful completion of the program, equip yourself with sophisticated expertise to apply for jobs in Analytics domain in the roles of Business Intelligence Analyst, Business Analytics Consultant, Data Specialist, Data Mining Expert, Research Analyst, Big Data Analyst and Data Scientist.
  • Get connected with our Career Counsellor towards the end of the program to be interview-ready as per the current industry requirements.

Frequently Asked Questions

Request a Call Back from our Admission Counsellors to know more