PG Program - Business Analytics

Learn Analytics in 7-Months

PG Program - Business Analytics

  • Hyderabad
Apply Now
Application deadline 21st Mar 2019

Academic Partner

Why Join PGP-BA?


Alumni have transitioned to analytics roles


Average salary hike post completion


Companies share job opportunities with us

India’s #1 analytics program

Our rigorous learning ensures demonstrable competence development which you can showcase to transform your career to succeed in the digital economy.

Business focus

Industry-led modules on analytics in finance & risk, supply chain & logistics, marketing & retail, web & social media.


Learn while you earn with our weekend classes. We accommodate transfer cases, sabbaticals & provide the option to catch up even when you have missed classes.

PGP-BA Learning Experience

PGP-BA uses a combination of learning methods that include classroom teaching, self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Classes are conducted on weekends and assisted by online webinars, discussions, and assignments. Candidates can access the course content online even after they have graduated.

Innovative approach

Our program offers a blended learning environment or an Online learning environment that causes minimal disruptions to work schedule. Sessions are assisted by online webinars, discussions and assignments for continuous and cumulative learning.

Corporate collaboration

Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Capstone project

The Capstone project allows you to apply your learning to real industry projects and add it to your portfolio for potential employers to see as a tangible body of work.

Talent pool in PGP-BA

Interaction in the classrooms is not just with peers but active employees from different industries who bring their unique experiences to the fore.

Join India's #1 Analytics Program

Weekend Classroom | Online Mentorship

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Business Analytics.


The program is carried out in Classroom mode, delivered by Great Lakes faculty and industry professionals from the field of analytics. This ensures a remarkable learning experience for the candidates combining academically-elegant and industry-relevant coursework.

Classroom Modules
  • Introduction to Business Analytics
  • R for Data Science
  • Introduction to R and R-Studio
  • Dealing with Data using R
  • Visualization using R
  • R-Markdown
  • Missing Value Treatment
  • Exploratory Data Analysis using R
  • Introduction to Data Visualization
  • Introduction to Tableau
  • Basic charts and dashboard
  • Descriptive Statistics, Dimensions and Measures
  • Visual analytics: Storytelling through data
  • Dashboard design & principles
  • Advanced design components/ principles : Enhancing the power of dashboards
  • Special chart types
  • Case Study: Hands on using Tableau
  • Integrate Tableau with Google Sheets
  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit
  • Analysis of Variance
  • Regression Analysis
  • Dimension Reduction Techniques
  • Introduction to Supervised and Unsupervised Learning
  • Clustering
  • Decision Trees
  • Random Forest
  • Neural Networks
  • Multiple Linear Regression(MLR) for Predictive Analytics
  • Logistic Regression
  • Linear Discriminant Analysis
  • Handling Unstructured Data
  • Machine Learning Algorithms
  • Bias Variance trade-off
  • Handling Unbalanced Data
  • Boosting
  • Model Validation
Languages and tools
  • R
  • Python
  • Tableau
  • Capstone Project
Online Modules
  • Linear programming
  • Goal Programming
  • Integer Programming
  • Non-Linear Programming
  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive Moving Average (ARMA) models
  • Autoregressive Integrated Moving Average (ARIMA) models
  • Case Studies
  • Web Analytics: Understanding the metrics
  • Basic & Advanced Web Metrics
  • Google Analytics: Demo & Hands on
  • Campaign Analytics
  • Text Mining
  • Introduction to Supply Chain
  • Dealing with Demand uncertainty
  • Inventory Control & Management
  • Inventory classification Methods (EOQ)
  • Inventory Modeling (Reorder Point, Safety Stock)
  • Advanced Forecasting Methods
  • Procurement Analytics
  • Why Credit Risk-Using a market case study
  • Comparison of Credit Risk Models
  • Overview of Probability of Default (PD) Modeling
  • PD Models, types of models, Steps to make a good model
  • Market Risk
  • Value at Risk - using stock case study
  • Fraud Detection
  • Marketing and Retail Terminologies: Review
  • Customer Analytics
  • Retail Dashboard
  • Customer Churn
  • Association Rules Mining

Capstone - The Cornerstone

The Capstone Project is an application-oriented industry project where candidates are mentored and evaluated by Great Lakes faculty and Industry Experts. It allows them to apply their learning to real life projects and add it to their portfolio as a tangible 'body of work' for potential employers to see. It is a growth enabler that instills both confidence and conviction in our candidates.


Participate in company sponsored hackathons and establish your expertise. Apply your new skills to solve real-world business problems. Here are some of our recent hackathons
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Hackathon: 20th Jan 2019

Real Estate

Predict the monetary value of a house using machine learning based on features of the house

40 Teams
  • Chennai
  • Bangalore
  • Gurgaon
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Hackathon: 16th Dec 2018

Inventory Management

Predict the total number of customers visiting each store of a pharmacy chain to plan inventory effectively

38 Teams
  • Chennai
  • Pune
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Hackathon: 28th Oct 2018

Airline Industry

Predict the factors that will contribute to a passenger's positive in-flight experience.

27 Teams
  • Delhi NCR
  • Chennai
  • Hyderabad

Meet Your Faculty

The faculty and industry speaker pool of the program consists of leading academicians in the field of data analytics along with several experienced industry practitioners from leading organizations.

Hands-On Learning from Analytics Practitioners

Get invaluable input from the who's who of the industry:

Delivery Formats

7-month classroom mode

Learn in real classrooms taking place one weekend a month along with a lot of online content, you also get access to an online learning management system.

Career Support - GL Excelerate

As a participant in the Great Learning's program, GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job.

Exclusive recruitment drives

Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.

Access to curated jobs

Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.

Interview preparation workshops

Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.

Personalised career mentorship

Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.

Organizations Participating in Recruitment Drives

Alumni Success Stories

Admission Details


  • done At least 2 years of full-time post qualification work experience.

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Telephonic interview

Telephonic interview round which will then be reviewed by a faculty panel.

Step 4

Rolling basis admission

The admissions will be conducted on a rolling basis and the admission process shall be closed once the requisite number of candidates have taken admission into the program.

Fee Details

2,25,000 + GST
Admission Fee Created with Sketch. 25,000
1st Installment Created with Sketch. 66,666
2nd Installment Created with Sketch. 66,667
3rd Installment Created with Sketch. 66,667
Total Created with Sketch. 2,25,000

Fee Includes

Tuition fee

Learning material

Lab access



Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

In case our students want to finance the course they can avail a loan at a substantially lower rate of interest than the market.

Batch Start Dates


April 2019

Upcoming Application Deadline

21st Mar 2019

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

The Post Graduate Program in Business Analytics (PGP-BA) is an Analytics focused management Program designed and delivered by Great Lakes. Since this is an executive Program that prepares professionals for managerial careers in Analytics, a prior work experience of at least two years is required. However, there is no upper limit on the amount of prior work experience.
The total course comprises about 440 hours of learning comprising 240 hours of classroom learning and 200 hours of online/off classroom. Classes happen on one weekend every month.
The program follows classroom sessions on one weekend a month. Check the Batch Commencement Details (under Deadlines above) for details.
PGP-BA is unique in curriculum design on the following fronts:
  • The curriculum covers general management subjects and provides a detailed study in analytics
  • The courses are taught by eminent faculty from Great Lakes and senior executives from the analytics industry
  • The Program provides the candidates with hands-on exposure to tools such as R, Tableau, and SAS.
  • The blended delivery model (classroom and online) of the Program makes it convenient for working professionals to attend classroom sessions without having to quit their jobs and also, pace their learning through online sessions.
The Post Graduate Program in Business Analytics (PGP-BA) equips you with the relevant knowledge and skills to pursue managerial careers with best of analytics companies or move the analytics roles within your existing organization.
PGP-BA follows a blended learning model wherein classes are conducted at Great Lakes campuses/Centers (in Gurgaon, Chandigarh, Chennai, Bangalore, Hyderabad, Mumbai & Pune) and also through an online learning management system.
The certificate for the Post Graduate Program in Business Analytics will be awarded by Great Lakes.
The academic modules would be taught by senior faculty from Great Lakes. In addition to to Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.
The classes for Gurgaon, Chandigarh, Chennai, Bangalore, Hyderabad, Mumbai & Pune will be held at their respective Campuses/Centers in the city.
Hyderabad Program Fee The total Program fee of Rs.2.25 lacs plus GST and can be paid at one go or according to the following payment schedule:
  • Payment of Rs.30,000 at the time of acceptance of admission
  • Payment of the remaining amount in 3 equal installments
No accommodation is provided at our learning centers. Outstation candidates are requested to arrange accommodation themselves.
We advise all candidates to have complete information before enrolling in the program. No refund requests will be accepted once the fee has been paid. However, there is a deferment policy where a candidate can choose to defer his enrollment to a future batch.
All the requisite learning material is provided online to candidates through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
We believe that learning should continue and hence, all the learning material in terms of lectures and reading content would be available to the candidates upto one year post completion of Program.
PGP-BA is a holistic and rigorous Program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at
The career support activities at Great Learning are clubbed under the GL Excelerate program, which helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job. GL Excelerate provides every learner Exclusive access to Regular Recruitment drives, 30-40 curated Jobs every month, Interview preparation workshops and Career mentorship from mentors personalised to your experience and industry, who will help you navigate your path to career success. Know more about GL Excelerate
All interested candidates are required to apply to the Program through the online application form. A panel of Great Lakes faculty evaluates all applications and therein, the shortlisted candidates are contacted for interviews. The interviews may be conducted in person or through telephonic or video conferencing.
If you are interested in the Program, you can apply through the online application form. If you need assistance from our team, write to us at or call us at +91 87506 48238 and we shall guide you through the process.
Great Lakes PGP-BA Program has tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.
Till date, we have launched 40 batches across the centers.
The candidates need to bring their own laptops, the technology requirement shall be shared at the time of enrollment.
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