The Great Lakes’ Post Graduate Program in Business Analytics is designed for executives who want to build their careers in the analytics industry. The Program covers essentials of business management, deep dives into the study of business analytics and provides hands on training on analytical tools and technologies that are used by companies worldwide.
Some of the unique features of the Program are enlisted below:
The curriculum provides a detailed study in analytics alongwith covering general management subjects and specialised domain areas such as Retail, BFSI, Healthcare, E-commerce and Energy.
The courses are taught by eminent faculty from Great Lakes and senior executives from leading analytics companies.
The Program provides the candidates with hands on exposure to tools such as SAS, Tableau and actual industry case studies through virtual labs, assignments and project
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.
Technology & Administration Partner:Beacon Learning
Online Content Partner:Jigsaw Academy
Academic Partner:Great Lakes Institute Management
This program has about 330 hours of learning comprising 230 hours of classroom learning and 100 hours of online/ off classroom. Participants would visit the campus for 5 days (including weekends and public holidays) every alternate month.
The program consists of 230 hours of classroom sessions delivered by Great Lakes faculty and industry professionals from the field of analytics.
All candidates have an access to the online LMS that hosts content (classroom recording, online lectures, assignments, reading material) and live webinars to enable the candidates continue their learning during off campus.
Experiential Learning through Virtual Lab-The virtual lab provides an experiential learning format and is used by candidates for practicing exercises and assignments on software packages such as SAS, R, Tableau.
Part time/Full time: Part Time
Admissions process is currently underway and is a rolling process wherein the candidates are interviewed as they apply and the admissions conclude as soon as the desired class size is achieved.
Gurgaon Program Fees- The total Program fee of INR.3.25 lacs plus service tax and can be paid at one go or according to the following payment schedule:
Payment of INR.50,000 at the time of acceptance of admission followed by 3 Equal Instalments
The PGP-BA Program is designed for working professionals who wish to embark on managerial careers in the analytics sector. The prior experience of a candidate need not be in analytics, though an analytic bent of mind would be preferable. A successful graduate degree, a minimum experience of two years and a keen interest in analytical problem solving are the only pre-requisites for applying to the Program.
Candidates meeting the following conditions are eligible for pursuing the PGP-BA Program:
Work Experience: Minimum two years of experience at the time of submitting the application
Education: Should at least have Bachelor’s degree in engineering or other relevant graduation such as Mathematics, Statistics, Science, etc.
Padma Shri DrBala V Balachandran
Founder & Dean, Great Lakes Institute of Management. J L Kellogg Distinguished Professor (Emeritus in Service) of Accounting and Information Management, Northwestern University, Illinois, USA
Dr BappadityaMukhopadyay- Ph.D. (Indian Statistical Institute)
Dr S Bharadwaj- Ph.D. (University of Maryland)
Dr P K Vishwanathan- Ph.D.
DrTapan Panda- Ph.D., MBA
DrVaidyJayaraman- Ph.D. (The Ohio State University), MBA (University of Akron, Ohio)
DrHimadri Das- Ph.D. (Case Western University, USA)
Dr. Bobby Srinivasan- Ph.D. (Case Western University, USA)
Prof. Easwar Krishna Iyer- M Tech (IIT Kharagpur)
Dr. Paul Prabhakar- Ph.D. (University of Rochester)
Dr. SudhakarBalachandran- Ph.D. (Harvard Business School)
Senior executives and practitioners who have worked with leading organizations that successfully use analytics such as American Express, Accenture, Evalueserve, Genpact, GE, Capital One, Symphony, Mu Sigma, Absolut Data, etc.