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India's Most Exhaustive Big Data ProgramFocus on big data tools and technologies, Data Science, Machine Learning, and Visualisation.
24*7 Access to Big Data LabAccess to Big Data Lab for hands-on exposure to Hadoop, R, Python, Pig, and Hive.
CAREER SERVICESIndustry sessions on resume building and career workshops. Access to opportunities by industry partners.
International CollaborationDual Certification from Great Lakes & Stuart School of Business, IIT Chicago.
PGP-BDA is a 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.
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.
The program has about 450 hours of learning with 200 hours of classroom sessions that include hands-on exploration of the tools and techniques, 100 hours of online learning (recorded videos, live webinars, and course readings) and 150 hours of work outside the classroom with lab assignments and projects.
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.
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
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.
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.
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.
Almost 80% of the PGP-BDA 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.
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.
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.
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:
Our alumni empower us to move ahead with our mission of driving career success in a data-driven world. Here is how:
"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."
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.
Here are a few class videos from the recent sessions.
Following are the eligibility criteria and selection process for the PG ProgramBig 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.
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.
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.
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.
Here are the Application Deadlines for the program
17 February 2018
3 March 2018
Here's a list of the commonly asked questions about 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:
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.
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.
Please check the Batch commencement dates above under the Deadlines section.
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.
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.
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.
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:
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.
The total Program fee of Rs. 3,75,000 + GST and can be paid at one go or according to the following payment schedule:
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at email@example.com
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
If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at firstname.lastname@example.org or call us at +91-9599963674
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.
The professors were extremely flexible and ready to spend more time on certain topics based on the learning requirements of the batch. The industry speakers were very knowledgeable and had hands on experience on the topics delivered by them. Interacting with them on real world problems was one of the biggest takeaways from the course.
The Industry exposure has helped me bridge the gap between the theory and practice. Industry exposure during the program allowed me to get to end to end knowledge right from data extraction to storytelling. I learnt about the latest industry trends, as to why a particular technique is used for a situation, challenges faced, case studies, model development and validation etc.
Dec 27, 2017