Executive Programme in Advanced Business Analytics

Date & Fees
Course Content
Application Process


Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is poorly utilized. Many organizations therefore miss out on potent competitive strategies.

Analytics has been successfully used for identifying a firm’s most profitable customers, deciding on the best offer price for a product, accelerating product innovations, optimizing supply chains, identifying key drivers of financial performance etc. Leading organizations in India and abroad have benefitted greatly by leveraging the power of analytics. Competence in analytics has become a critical skill for managers of new age business organizations.

This executive long distance programme (with a residential component at IIMA) would be divided into modules covering among other topics Statistical Modeling, Machine Learning, Financial Analytics, Marketing Analytics, Human Resources Analytics and Operations Analytics. The overall value gained at the end of the programme is expected to build a solid foundation of business analytics.

Programme USP

•The Programme rigrously covers the field of Business Analytics.

•It would help improve managerial and leadership capabilities of participants.

•Books, cases and study materials are included in the course.

•Increased quality of interactions and peer group learning among participants.

•Specifically designed for working executives with all the flexibility benefits of interactive onsite learning.

•Participants are selected, based on elaborate selection process and profiling.

•Enables superior performance on the job. Exclusive focus on imparting relevant skills for career development.

•Membership of IIMA alumni present globally

Programme Objectives

•Premier certification from IIM Ahmedabad

•Career enhancement


•Applicants should be working professionals / self-employed.

•Graduate degree in a relevant subject with 50% marks.

•At least 2 years work experience in a relevant field is desirable.

Class Schedule

Tuesday & Wednesday – 06:45pm to 09:45 pm (Two consecutive days of classes held every alternate week)


6 Months


The teaching approach will be highly interactive using the technological capabilities of the channel. The pedagogy followed for the programme will consist of a blend of lectures, case studies, online lectures, projects, peer to peer learning, self-learning, role play and simulations. Mentoring by faculty and access to learning resources of IIMA will also be made available. There will be two campus component held at IIMA. HGEIL will ensure uninterrupted technical support in conducting online classes, attendance, quizzes, etc.

Programme Fees:

Application Fee INR 2,000/- + GST
Programme Fee INR 2,89,722/- + GST
Registration Fee INR 7,428/- + GST
Campus Fee INR 45,000/- + GST
Total Fees (exclusive of Application Fee) INR 3,42,150/- + GST


  • The student fee includes all the course material which is books, simulations, case studies, and certification.
  • Fee once paid is neither refundable nor transferable towards any other student/program/batch.
  • GST will be charged at prevailing rates (currently @18%).
  • Any extra payment due to any change in any of the applicable taxes during the tenure of the program will have to be borne by the student.


Important Dates:

Application Closure Date: April 26, 2019

Last Date for Payment of First Instalment: As per offer letter

Technical Orientation: June, 2019

Orientation and briefing: June, 2019 (tentative)

Class start: July, 2019 (tentative)

In-campus modules: TBA



Installment Schedule:

Ist Installment
As per offer letter
(99,050/- + 15,000/-) + GST
2nd Installment
June 10, 2018
(99,050/- + 15,000/-) + GST
3rd Installment
September 10, 2018
(99,050/- + 15,000/-) + GST

Programme Content

•Big Data

•Data Visualization

•Statistical Predictive Modeling


•Machine Learning

•R programming

•Marketing Analytics

•Financial Analytics

•Operations Analytics

•Human Resource Analytics


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