India's Most Exhaustive Big Data Program

PGP - Big Data and Machine Learning (PGP-BDML)

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Application Closes on- 19th April 2018

Why PGP - Big Data and Machine Learning

India's Most Exhaustive Big Data Program

Focus on big data tools and technologies, Data Science, Machine Learning, and Visualisation.

24*7 Access to Big Data Lab

Access to Big Data Lab for hands-on exposure to Hadoop, R, Python, and Hive.


Industry sessions on resume building and career workshops. Access to opportunities by industry partners.

International Collaboration

Dual Certification from Great Lakes & Stuart School of Business, IIT Chicago.

6 Top Reasons to Join PGP - Big Data and Machine Learning

PGP-BDML is a 12-month comprehensive program that combines data science, machine learning, data visualization, and big data technologies to prepare candidates for the roles of data analysts, data scientists, big data specialists, and big data architects.

World Class Faculty

You gain from the decades of experience and expertise brought to the table by Great Lakes faculty in their chosen domains. Our faculty comes from leading international and national schools such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.

Industry Mentors

Current industry knowledge and insights from industry leaders in knowledge sharing sessions and guest lectures allow you to stay ahead in the industry. These industry experts with several years of experience in their domains also mentor you during the application-oriented capstone project.

Experential Learning

The program provides hands-on exposure and experiential learning through Capstone Project, Real world case studies, 24*7 Big Data Lab with Data Sets, Industry guest lectures, and webinars. Candidates get exposed to different technologies like Hadoop, R, Python, and Hive.

Blended Learning

The program creates a blended learning environment that causes minimal disruptions to work schedule. The classroom sessions are assisted by online webinars, discussions, and assignment that keep your learning continuous and cumulative.

Corporate Partners

The program has been co-created and delivered by senior industry professionals as well as Great Lakes faculty. The curriculum will help you get a deeper understanding of the entire data value chain – the flow of information from data inception to big data analysis to drawing insights from big data.

Capstone Projects

The capstone project is a mandatory application-oriented industry project undertaken by all candidates to develop the acumen to solve real-life business problems on big data & analytics in collaboration with their mentors. Industry experts and Great Lakes faculty mentor you through the entire duration of the capstone project.

A Unique Learning Experience Awaits You.

PGP-BDML helps you build your technical and analytical toolkit experientially. The program 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.

Online Big Data Lab

All the technology tools for data ingestion, processing, analysis and visualization will be stably installed, maintained and hosted for you to access at any time for assignments and the Capstone project. Other than Hadoop training, you will also master Big Data Tools such as Spark, Hive, etc. - Visualization Tools such as Tableau and Gephi - Programming Environments such as Python and R.

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 using the Big Data Lab.

Industry Perspective Lectures

Industry exposure can only be derived from interacting with experts working on Big Data tools and technologies. Our industry guests and mentors ensure to fill the gap between theory and practice by educating our candidates on current business problems through practical case studies and examples.

Program Structure

The program has about 450 hours of learning with 200 hours of classroom sessions that include hands-on exploration of the tools and techniques, 200 hours of project work (8 mini projects, course readings, and an industry-oriented capstone project), and 50 hours of online learning (recorded videos and live webinars).


  • Descriptive & inferential statistics
  • Experiment design
  • Hypothesis testing and estimation
  • Predictive analytics – regression (Ordinary least squares, multiple linear, logistic)
  • Sampling
  • Probability distributions
  • Correlation and interactions


  • Hadoop and Spark ecosystem
  • Data discovery and acquisition
    • Real-time, web, DB, archives, machine logs
  • Data storage and manipulation in HDFS
  • NoSQL databases (MongoDB)
  • Data processing with Spark, Hive


  • Feature Engineering
  • Dimensionality reduction
  • Tree-based methods: Decision trees, random forest
  • Classification
  • Clustering
  • Recommendation systems
  • Graphical models and page rank algorithm


  • Exploratory data analysis
  • Graphical representation using libraries
  • Visualizing graphical and network models
  • Campaign analysis and dashboards
  • Insight presentation – written & visual
  • Case studies on real world data sets


R, HDFS, Hadoop, Spark, Spark Streaming, Hive, MongoDB, AWS Python, Mllib, GraphX, Tableau, Gephi

Experential Learning

  • Capstone project
  • Case studies
  • Big data lab
  • Real-world projects
  • Assignments

Learn from the Best

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

Dr. Bappaditya Mukhopadyay


Dr. P K Vishwanathan


Dr. Srabashi Basu


Dr. Sridhar Telidevara

Associate Professor

Amit Kapoor

Visualization Expert Instructor

Dr. Narayana Darapaneni

Professor, Big Data & Machine Learning


Hands-On Learning from Analytics Practitioners

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

Worldwide Leader & Program Director - Cognitive Sciences and Education Technology, IBM

AVP & Head Data Science At Impetus Infotech

Head Of Technology Innovation at Zensar Technologies

Director - Data Science and Machine Learning

Senior Data Scientist/ Big Data/ Machine Learning

Big Data, AI , Machine Learning Speaker/Trainer. Co-Founder And CEO - Trendwise Analytics

Big Data, Data Science, Machine Learning Trainer


Corporate Partners

The PG Program in Big Data and Machine Learning is conceived and delivered in collaboration with an impressive array of Corporate Partners, who contribute to making this program industry-oriented through practical instruction, real-world case studies and expert mentorship.


Capstone - The Cornerstone

The experiential learning projects at the end of every module enable a learner to apply their learning to real-life business problems and add it to their portfolio as a tangible 'body of work' for potential employers to see. Evaluated by industry mentors, these projects are growth enablers that instill both confidence and conviction in our candidate aiming to be a business analyst.

Predictive Analytics of Taxi Demand

The project is to forecast the demand for the taxis at specific times of the day and under different weather conditions.
Tools used - Hadoop, Spark, Python, Spark Streaming, Tableau for visualization
Techniques used - Prediction modelling, data streaming, time series analysis, Principal Component analysis, Clustering.

Behavioral Pattern recognition of Multiplayer Online Role-Playing Game players using Big Data and Machine Learning and Artificial Neural Networks

The project is to perform analytics on such Big Data Gaming Environment and the results would help game developers in - Optimizing user experience, Improving revenue, Raise the level of control over the environment
Tools used - Hadoop, Spark, Spark Streaming, Tableau for visualization, Python
Techniques used - Clustering, Visualization of Data, Feature selection, Neural Networks

Context Based Recommendation System

The project is to implement a context based recommender system in online education, which can help personalize the experience by suggesting the most optimal sequence of topics, materials for each learner given his/her current state in terms of knowledge, experience, education level etc.
Tools used - Python, Spark, Hadoop
Techniques used - Content Based Recommendation model and Hybrid models.

Stock market trend prediction using social media data

The project leverages Twitter and other online data points to predict Stock Market trends and performance. The project aims at constructing features which carry predictive information using online mediums and marry them with history data, to bucket stocks in multiple performance segments.
Tools used - Python, HDFS
Techniques used - Forecasting Models, Classification Algorithms, Bayesian Network Models, Deep Learning, Spark streaming

Meet the future industry leaders

At Great Lakes, our focus has been to ensure that the PGP-Big Data and Machine Learning batch is well-rounded in terms of experience, diversity and educational background thereby making the learning experience valuable and impactful.

The batch has a collective experience of over 328 man-years with an average experience of over 8 years and ranging from 4 to 15 years (not including a few outliers with 20 years of experience). The batch has excellent diversity across senior executives, mid-career executives, and young professionals.

work-ex distribution

Almost 80% of the PGP-BDML candidates come with a work experience of 5 or more years. Your peers are working professionals who bring their unique experiences and ideas to the fore.

work-ex distribution

Industry-sector distribution

Candidates come from leading organizations working in different roles and industries. While most candidates are from the technology sector; BFSI, Analytics, etc. also contribute significantly to the batch composition.

Industry-sector distribution

Educational Background

More than half our candidates are from an engineering background, and the rest of our candidates have earned MBA, MCA, M.Sc, or M.Tech degrees.

Educational Background

We are delighted to have such an eclectic and diverse mix of working professionals pursuing the PGP- Big Data and Machine Learning. One of the key indicators of quality would also be the organizations that our candidates are currently working with or have worked with. The candidates have been associated with leading Indian and global organizations. Some of these are:


Testimonials from our Alumni

Our alumni empower us to move ahead with our mission of driving career success in a data-driven world. Here is how:

Ashish Khanduja

"The program was truly unique in its offering with no other institution offering a similar program in analytics. Great Lakes’ excellent credentials, collaboration with different companies and opportunity to work on a meaningful capstone project made me enrol for the program."

Vikas Kumar
(Assistant Manager – Financial Service Analytics)

I had the good fortune to be taught by and interact with several high quality faculty and industry guests. As a personal choice, I enjoyed interacting with Dr. P.K.Viswanathan the most and I would attribute this to his extensive knowledge, enthusiasm to teach students with patience, and not to forget, his sense of humour.


A visual insight into the world of Big Data and Machine Learning

Here are a few class videos from the recent sessions.

Introduction to PGP in Big Data Analytics
Domain Knowledge is the Key to Success
Rise of Datafication and Its Impact
The Three Pillars of Data Science

Admission Details for the PG Program - Big Data and Machine Learning

Following are the eligibility criteria and selection process for the PG Program - Big Data and Machine Learning


Applicants should have a bachelor's degree in Engineering, Computer Science or Mathematics/Statistics with a minimum of 50% aggregate marks or equivalent. Applicants must have at least 2 years of full-time work experience. They should also be comfortable using at least one programming language and be familiar with college-level mathematics and statistics.

Selection Process

Interested candidates need to apply by filling up an Online Application Form. The Admissions committee and faculty panel will review all the applications and shortlist candidates based on their profiles. These candidates will be invited for an interview and an offer will be made to the selected applicants.

*Admissions will be closed once the requisite number of candidates have been admitted into the program.


Admission Details for the PG Program - Big Data and Machine Learning

Following are the payment details for the program:


The course fee is:

Bangalore, Chennai, Gurgaon, Hyderabad - INR 3,75,000 + GST.

For information on easy payments and scholarship options, please contact our admissions office at +91 9599963674.


Candidates can pay the program fee through Cheque, DD, Net Banking, Credit Cards or Debit Cards.*

*Great Learning does not accept cash payments and issues receipts for all fee payments made towards all our programs.

Financial aid

Selected students can contact the Admissions Office for assistance in applying for loans after receiving the offer of admission. Our lending partners include HDFC Credila, Avanse. We ensure money is not a constraint in the path of learning.


Mark the Dates

Here are the Application Deadlines for the program

Application Deadline: 19 April 2018

Batch commencement dates


Jun/Jul 2018


Jun/Jul 2018


21 April 2018


28 April 2018


Frequently Asked Questions

Here's a list of the commonly asked questions about the program.

What is the eligibility for the program?

The post-graduate program in Big Data and Machine Learning is a hands-on program designed for technology professionals, and you are expected to satisfy the following pre-requisites:

  • Demonstrated programming experience
  • Familiarity with college-level mathematics and statistics

We require that you have completed your bachelor’s degree in Engineering, Computer Science or Mathematics/Statistics and have at least 2 years of professional experience in a technology role.

Do I need to know programming?
Yes, since this program is designed for technology professionals looking to work hands-on with a range of Big Data and analytical tools and techniques most valued by the industry, you are required to have at least 2 years of programming experience. This may be in any programming language and not necessarily in Python or R, but having experience in these languages is an added plus.
What is the program architecture?

This blended learning program consists of about 450 hours of active learning – approximately 200 hours of classroom sessions (one weekend a month) that include hands-on exploration of the tools and techniques and the rest a combination of online learning, virtual lab assignments, and projects.

When does the program begin?

Please check the Batch commencement dates above under the Deadlines section.

What is unique about this program?

In this program, our emphasis is on developing professionals who can work with disparate data sources, analyze them, draw valuable conclusions and communicate the insight in a compelling way. 

  • A combination of academic rigor, hands-on practice, and extensive industry engagement will help you solve complex problems in a methodical and pragmatic manner
  • With unlimited access to our cutting edge lab on the cloud, you can work on problems wherever and whenever you’d like using tested, industry-relevant software packages 
  • Intense focus on industry applicability ensures that you learn the most relevant tools and techniques to the industry, and industry partners are an integral part of the learning experience
  • The blended learning model combines the discipline and collaborative nature of classroom learning with the flexibility and self-paced benefits of online learning. You will experience the best of both worlds
Is the post-graduate program in Big Data and Machine Learning entirely online?

No. You will attend classroom sessions for 1 weekend a month (2 days, all day). Additional content, live webinars and peer learning happens at your convenience on our online platform. You will complete all assignments and projects on our online Big Data Lab.

Is the program certificate awarded by Great Lakes?

The Post-Graduate Program in Big Data and Machine Learning is awarded by Great Lakes Institute of Management and Illinois Institute of Technology (IIT) Chicago. In addition to these institutions, the program is conceived and delivered in collaboration with an impressive array of corporate partners, who contribute to making this program industry-oriented through practical instruction, real-world case studies and expert mentorship.

How will the program help me advance in my career?

Upon completion of this program, you will be able to make or enhance your career in the burgeoning field of Big Data and Machine Learning. Among the careers that this course will be instrumental to is:

  • Data Scientist
  • Big Data Engineer or Data Engineer
  • Sr. Software Engineer – Big Data
  • Hadoop/Spark Engineer
  • Big Data Solutions Architect
  • Software Engineer - building applications on Big Data platforms
  • IT consultants – focus on Big Data technologies
  • Data Analyst (often a stepping stone towards becoming a Data Scientist)

Careers in Big Data and Machine Learning and Data Science are lucrative and in demand. With an estimated shortfall of over 200,000 data analysts and data scientists in India by 2018, the time is right for technology professionals to upgrade their competencies to make the most of this opportunity.

What skills will I develop through this course?
This program is aimed at technically minded problem solvers who are looking to build a career in big data technologies, data science, and advanced analytics. At the end of this program: You will be comfortable working on Big Data storage, processing, analysis techniques, visualization, and applications. You will be able to choose the appropriate technology solution for a complex problem. New tools and algorithms are being created and adopted everyday. Insight on what tools, techniques and platforms to use for a real world use case is a huge leg-up on your competition. You will be comfortable analyzing complex and large data using a range of Machine Learning and advanced analytical techniques. You will be able to synthesize a deluge of data into lucid visualizations using a set of powerful tools. Through practical assignments and mentored projects, you will develop fluency in the tools and techniques necessary to make sense of complex, large aggregations of data.
Will Great Lakes faculty be teaching this program?
Classroom sessions are delivered by Great Lakes faculty in conjunction with technology specialists with decades of Big Data and Advanced Analytics expertise. Industry stalwarts who head Data Science teams and apply these tools and techniques everyday will contribute to your learning outcomes through industry sessions, case studies and project support.
Is this program accredited by UGC or AICTE?
The format of the Program does not lend itself to accreditation from AICTE/UGC. However, Great Lakes is an AICTE accredited institution and is one of the few institutions in India to receive accreditation from AMBA (Association of MBAs, UK)
What is the fee payment schedule for the program?

The total Program fee of Rs. 3,75,000  + 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
Will I have to spend more on other material?
All required content – books, online material, licenses are included in the program fee and available at any time during (and after completion of) the program. You are welcome to purchase additional material for your own reference on faculty recommendation.
Will the content be available after the program is completed?
We believe that learning is continuous and hence all learning material – lecture notes, online content and supporting material – will be available through the online platform for one year after completion of the program. If you require extended access, please reach out to the program team.
How will I be evaluated during the program?
In this holistic and rigorous program, you will be evaluated continuously. All quizzes, assignments and projects are used to evaluate and monitor your progress towards the desired learning outcomes.
Can my company sponsor me?

We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at

Will there be placements at the end of this program?

The career support activities at Great Lakes’ post graduate program in Big Data and Machine Learning begin with helping candidates prepare for Big Data and Analytics careers through sessions conducted by industry experts. We also provide our candidates and alumni with access to any opportunities that partner companies share with us. We do not, however, offer a placement process as part of the program

What is the admission process?
You are invited to apply using our online application form. Our admissions panel evaluates all applications and you will be invited to an interview (in-person, telephone or video) if you are shortlisted. Admissions occur on a rolling basis, so you are encouraged to apply early if you’re interested.
How can I apply for this program?

If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at or call us at +91-9599963674

How will I get access to online Big Data Labs?
Online access to Big Data Labs will be provided on the very first day of your enrollment. All the big data tools like : Hadoop, Spark, Hive, Pig along with Python, Gephi, Tableau & R can be easily accessed by the student.
Where the classes will be held?
The classes will be conducted in Bangalore, Chennai & Hyderabad.
Will there be any Financial Assistance?
We have tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.
Name of few Industry Mentors?
Nitin Agarwal - AVP & Head Data Science at Impetus Infotech Ullas Nambiar - Head of Technology Innovation at Zensar Technologies Pradeepta Mishra - Chief Data Scientist Machine Learning & AI Practice, Ma Foi Analytics. Dr. Satya V Nitta - Worldwide Leader & Program Director - Cognitive Sciences & Education Technology, IBM
What is a Capstone Project?
All the candidates will be analyzing a real world problem using a range of tools & techniques that they have learned in class. The candidates will be given access to Big Data Labs which will help them during the project. The duration of the project is 3-4 months and is can be done in a group of 3-4 students.
Can I brush up on my programming before we start?

Yes, once admitted, you will receive a programming refresher (online) on Python and R – free of charge. We strongly recommend that you complete these introductory online courses so that you are ready from day one of the program.

Need More Information? Download PGP - Big Data and Machine Learning course e Brochure for complete information.