Formerly known as PGP-BABI

PG Program - Data Science and Business Analytics

Weekend Classroom | Classroom and Online
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Application Deadline - 2nd Apr 2020

Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

Why Join PG Program in Data Science and Business Analytics?

Great Learning career tran

4000+

Alumni have transitioned to analytics roles

Great Learning Salary Hike

48%

Average salary hike post completion

Great Learning job opportunity

200+

Companies share job opportunities with us

Great Learning number one
India’s #1 analytics program

Our Analytics and Data science course has been ranked No.1 consistently since 2014 by Analytics India Magazine.

Top Ranked Data Science Faculty

Our Faculty has been consistently ranked amongst the Top 10 most prominent analytics and data science academicians.

Great Learning why-4
International Recognition and Dual Certificate

Dual Certificate from The University of Texas at Austin, McCombs School of Business, world rank #2 in Analytics and Great Lakes, India rank #1 in Analytics.

Great Learning why-4
Flexibility

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-Data Science Learning Experience

The PG Program in Data Science and Business Analytics (PGP-DSBA), formerly PGP-BABI, is offered by Great Learning in collaboration with The McCombs School of Business at The University of Texas at Austin and Great Lakes, India. It is a comprehensive Data Science and Business Analytics Course that covers the latest analytics tools and techniques along with their business applications. The topics are covered in a practical and hands-on manner with real world case studies to enable participants to succeed in business roles using data analytics.

PGP - Data Science and Business Analytics, formerly PGP-BABI, has been ranked No.1 in India by AIM. UT Austin McCombs School of Business' MS in Business Analytics is ranked No.2 in the world by QS World University Rankings.

Great Learning innovative approach
Innovative approach

Our Data Science and Business Analytics course offers an online learning environment with personalized mentorship that causes minimal disruptions to work schedule. Sessions are assisted by online webinars, discussions, hackathons and assignments for hands-on learning.

Great Learning corporate collaboration
Corporate collaboration

Our corporate partners, a pool of Data Scientists and Analytics Professionals, deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Great Learning capstone project
Capstone project

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

Peer-Peer Learning in Data Science

Interactions within groups is encouraged during the program facilitate collaboration and peers are not just with students but active employees from different industries who bring their unique experiences to the fore.

Join India's #1 Analytics Program

Classroom and Online | 11 Months

Dual Certificate & ePortfolio

Earn a Dual Certificate from The University of Texas at Austin - McCombs School of Business and Great Lakes. Your certificate and Analytics Portfolio can also be shared on social media channels to establish your credibility in Business Analytics.

Sample ePortfolio

Curriculum

The Data Science and Business Analytics course formerly known as PGP-BABI is delivered in Personalised Mentorship Online mode. The Data Science and Business Analytics course curriculum has been designed in collaboration with faculty from Great Lakes and UT Austin McCombs School of Business. The teaching and content in the course is by faculty from Great Lakes, UT Austin and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.

Data Science Foundations
Introduction to Data Science
  • Introduction to Data Science
  • Python for Data Science
  • Introduction to Python
  • Dealing with Data using Python
  • Visualization using Python
Statistical Methods for Decision Making
  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit
Business Finance
  • Fundamentals of Finance
  • Working Capital Management
  • Capital Budgeting
  • Capital Structure
Marketing and CRM
  • Core Concepts of Marketing
  • Customer Life Time Value
SQL Programming
  • Introduction to DBMS
  • ER diagram
  • Schema design
  • Key constraints and basics of normalization
  • Joins
  • Subqueries involving joins and aggregations
  • Sorting
  • Independent subqueries
  • Correlated subqueries
  • Analytic functions
  • Set operations
  • Grouping and filtering
Data Science Techniques
Advance Statistics
  • Analysis of Variance
  • Regression Analysis
  • Dimension Reduction Techniques
Data Mining
  • Introduction to Supervised and Unsupervised Learning
  • Clustering
  • Decision Trees
  • Random Forest
  • Neural Networks
Predictive Modeling
  • Multiple Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis
Time Series Forecasting
  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive models
Machine Learning
  • Handling Unstructured Data
  • Machine Learning Algorithms
  • Bias Variance trade-off
  • Handling Unbalanced Data
  • Boosting
  • Model Validation
Optimization Techniques
  • Linear programming
  • Goal Programming
  • Integer Programming
  • Mixed Integer Programming
  • Distribution and Network Models
Domain exposure
Marketing and Retail Analytics
  • Marketing and Retail Terminologies
  • Customer Analytics
  • KNIME
  • Retail Dashboard
  • Customer Churn
  • Association Rules Mining
Web & Social Media Analytics
  • Web Analytics: Understanding the metrics
  • Basic & Advanced Web Metrics
  • Google Analytics: Demo & Hands on
  • Campaign Analytics
  • Text Mining
Finance & Risk 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
Supply Chain & Logistics Analytics
  • Introduction to Supply Chain
  • Dealing with Demand uncertainty
  • Designing Optimal Strategy using Case Study
  • Inventory Control & Management
  • Inventory classification
  • Inventory Modeling
  • Costs Involved in Inventory
  • Economic Order Quantity
  • Forecasting
  • Advanced Forecasting Methods
  • Examples & Case Studies
Visualization and insights
Data Visualization using Tableau
  • 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
Languages and tools
  • Python
  • R
  • Tableau
  • SAS (Online Module)

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.

Hackathons

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: 21st Jul 2019

Restaurant Turnover

To predict annual turnover of a restaurant based upon various parameters.

35 Teams
  • Bangalore
  • Online
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Hackathon: 14th Jul 2019

Old Car Price

To predict the price of second hand cars based upon the various parameters.

30 Teams
  • Delhi NCR
  • Mumbai
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Hackathon: 07th Jul 2019

Loan Default

To predict whether a debtor is able to meet the legal obligation of debt repayment based upon the different parameters.

25 Teams
  • Chennai
  • Hyderabad
  • Online
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Meet Your Faculty

The faculty and industry speaker pool of the course consists of leading academicians in the field of data analytics along with several experienced industry practitioners from leading organizations. Our esteemed faculty is consistently ranked among the Top 10 most prominent analytics and data science academicians.

Hands-On Learning from Analytics Practitioners

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

Delivery Formats

Great Learning unique learning
12-month classroom mode

Learn in real classrooms with 30 classroom sessions taking place one weekend a month, get access to an online learning management system for online content.

Great Learning online mode
11-month online mode

Learn through 30 online personalized mentorship sessions along with access to content on our easy to use 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.

Great Learning interview preperation
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.

Great Learning rec drive
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.

Great Learning career mentorship
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

Great Learning Career support companies Great Learning Career support companies

Alumni Success Stories

What students say about us

Reviews by Learners

02 Mar 2020
Batch of January 2020 - Gurgaon | Data Analysis And Simulation Professional at Siemens
I liked everything about this course, especially the pace or way of teaching. All concepts were taught very well with real examples. Though I am a novice to this domain, I have gained complete understanding of each and every concept. Excellent!!!
04 Feb 2020
Batch of January 2020 - Mumbai
It was an amazing learning experience. This program was perfectly designed with an outstanding curriculum. The faculty team was too good and patient. Especially the tutorials by Mr. Dipayan Sarkar were amazing, with good examples, and explanations.
02 Mar 2020
Batch of January 2020 - Gurgaon | Vice President Technology (Software Services) at Jindal X
An amazing learning experience! Especially the way of explaining things, moving from one concept to another while interconnecting the concepts and implementation of the concept in real-world scenarios was very good. I would rate this program a five star.

Batch Profile

The PG-Data Science and Business Analytics class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles and industries.

Batch Industry Diversity

Learning course batch industry diversity

Batch Work Experience Distribution

Learning batch work experience distribution

The PGP-Data Science learners come from some of the leading organizations.

Great Learning business analytics learners from leading organisations

Admission Details

Eligibility

  • done Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
Grear Learning admission and selection process

Selection Process

Step 1

Fill application form

Step 2

Application review

The faculty panel will review all the applications and shortlist candidates based on their profiles.

Step 3

Telephonic interview

Shortlisted candidates will go through a telephonic interview round which will then be reviewed by a faculty panel.

Step 4

Admission Offer

An admission offer will be made to selected candidates which has to be accepted by paying the admission fees.

Fee for Classroom Mode

Zero Cost EMI Plan

Great Learning rupee icon
  • 3 months
  • 6 months
  • 12 months
Admission Fee + EMI x Months = Total Fee
50,000 + 28,750 x 12 Great Learning rupee icon 3,95,000

*All the prices are exclusive of GST

Fee for Online Only Mode

Zero Cost EMI Plan

Great Learning rupee icon
  • 3 months
  • 6 months
  • 12 months
Admission Fee + EMI x Months = Total Fee
25,000 + 28,750 x 12 Great Learning rupee icon 2,25,000

*All the prices are exclusive of GST

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

With our corporate financial partnerships avail education loans at 0% interest rate and 100% Tax Benefit for interest paid under Sec (80E)*.

Great Learning education loan partners by Axis bank
Great Learning education loan financial partners by Zestmoney
Great Learning education loan financial partners by Eduvanz
Great Learning education loan financial partners by HDFC

*Conditions Apply. Please reach out to the admissions team for more details.

Upcoming Application Deadline

2nd Apr 2020

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

Contact us

Please reach out to the admission office if you have any queries.

Application Deadline - 2nd Apr 2020

Download Brochure

Check out the program and fee details in our brochure

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Frequently Asked Questions

What is the ranking of UT Austin McCombs School of Business Analytics Course?
MS in Business Analytics offered by McCombs School of Business at The University of Texas at Austin is ranked No. 2 in the world by QS World University Rankings (2018).
What is the role of The University of Texas at Austin McCombs School of Business in the PG Data Science and Business Analytics?
The PGP-Data Science and Business Analytics curriculum has been designed in collaboration with Great Lakes and UT Austin McCombs School of Business. The teaching and content in the program is by faculty from Great Lakes, UT Austin McCombs School of Business and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.

Upon completion, all successful participants get Dual Certificates from Great Lakes and The University of Texas McCombs School of Business.
What is the Eligibility criteria for this Data Science and Business Analytics Course?
The Post Graduate Data Science and Business Analytics Course is an Analytics focused management program designed and delivered by Great Lakes Executive Learning. Since this is an executive business analytics course that prepares professionals for managerial careers in Analytics, a graduate degree in any discipline with minimum 50% marks is required. However, for the PGP-Data Science and Business Analytics Online Course, it is not mandatory for the candidate to have work experience.
What is unique about the curriculum in PGP-Data Science?
The PGP-Data Science and Business Analytics course 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, Python and SAS.
  • The various delivery models of the program being available in a classroom format as well as a completely online format, which makes it convenient for working professionals to attend classroom sessions or mentored online sessions without having to quit their jobs.
How will the PGP-Data Science and Business Analytics course help progress in my career?
Will the Data Science and Business Analytics Course certificate be awarded by Great Lakes?
The certificate for the Post Graduate Program in Data Science will be awarded by Great Lakes Executive Learning.
Would Great Lakes faculty be teaching in this course?
The academic modules would be taught by senior faculty from Great Lakes, out of which 3 of the professors are also ranked amongst India’s Top 10 Analytics Academicians. In addition to, Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.
What is the payment schedule for the Data Science and Business Analytics course?

Classroom Program, the total Program fee of Rs.4.25 lakhs plus GST and can be paid at one go or according to the following payment schedule:

  • Payment of Rs.50,000 at the time of acceptance of admission.
  • Payment of the remaining amount in 3 equal installments.

Online program, the total program fee of Rs.2.25 lakhs plus GST and can be paid at one go or according to the following payment schedule:

  • Payment of Rs.25,000 at the time of acceptance of admission.
  • Payment of the remaining amount in 3 equal installments.

Is there any financial aid provided?
Great Lakes PGP-Data Science has tie-ups with HDFC Credlia, Avanse Education (DHFL Group), and Zest Money for providing education loans.
Is accommodation also provided?
No accommodation is provided at our learning centers. Outstation candidates are requested to arrange accommodation themselves.
What is the refund policy for the course?
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.
Would I have to spend extra on books, online learning material or license fee?
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.
Would the content be available to me after completion of the course?
We believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to the candidates' up to one year post completion of Data Science and Business Analytics course.
How will I be evaluated during Data Science and Business Analytics Course?
PGP-Data Science is a holistic and rigorous course and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
Can my company sponsor me?
Will there be placements at the completion of the Data Science and Business Analytics Course?
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
What is the admission process?
All interested candidates are required to apply to the Data Science and Business Analytics course 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.
How can I apply for the Data Science and Business Analytics Course?
How many Data Science and Business Analytics course batches have been launched till date?
Till date, we have launched 60 batches across the centers.
Is there a Difference between PGP-BABI and PGP-DSBA?

There are no difference as far as the program structure, curriculum or delivery is concerned. The DSBA course is primarily for people looking for a slightly technical course as it is delivered predominantly in Python.

Data Science is a broader term with industry recognition and incorporates all aspects of Business Intelligence (which is mostly about reporting and descriptive analysis of past data).