Courses Home » Full Time Programs » Universitiy » SENIOR MANAGEMENT PROGRAMME IN BUSINESS ANALYTICS (SMPBA)
  • 1
  • 2
  • 3
  • 4
  • 5
Editor Rating
  • 1
  • 2
  • 3
  • 4
  • 5
User Ratings
Based on 0 reviews

Information

Cluzter Ops3's Other Courses

Social Share

SENIOR MANAGEMENT PROGRAMME IN BUSINESS ANALYTICS (SMPBA)

Posted By Cluzter Ops3     July 16, 2020     412 views     0 likes    
The Indian Institute of Management Calcutta (IIMC) was established as the first national institute for Post-Graduate studies and Research in Management by the Government of India in November 1961 in collaboration with Alfred P. Sloan School of Management (MIT), the Government of West Bengal, The...  more

Overview

PROGRAMME OBJECTIVE

1.To pave ways for improving organizational readiness in using data analytics as a powerful mechanism for business model innovation.

2.To recognize and inculcate necessary capabilities comprising analytical tools and techniques with behavioral skills toward competitive advantage.

WHO SHOULD ATTEND

This programme is targeted towards senior management – the segment not being adequately served by the existing bouquet of LDPs in the analytics / data science space.

The Programme combines strategic aspects of Business Analytics with relevant technology oriented operational aspects for actionable appreciation of analytics by senior management.

It would help spread data driven decision making capabilities of participants.PROGRAMME DURATION & DELIVERY

This is a part-time 9 months programme delivered at IIM Calcutta Campus with a global immersion module at Cambridge Judge Business School Executive Education Campus in face-to-face mode, and also partly through D2D platform provided by Eruditus.
PEDAGOGY
The pedagogy will be highly interactive including Campus Immersion at IIM Calcutta, one global immersion module at Cambridge Judge Business School Executive Education and D2D modules. This is a blended programme which includes classroom lectures, D2D modules, real-life case studies, group discussions, simulations.
PROGRAMME CONTENT:
The business value of data analytics
1.Analytics readiness of an organisation and building a data-driven decision making culture
2.Building organisational capability for making use of analytics
3.Appreciating the emerging nature of competition and the role of business analytics
Statistics for analytics
1.The art of summarising data and statistical learning in decision-making
2.Applied probability and decision-making under uncertainty
3.Regression techniques and the art of capturing relationships among variables of interest
4.Data sampling and the art of inferring about the population from samples
Data sources
1.RDBMS, unstructured data and other forms of data
2.Data extraction and cleaning
3.Dimensionality and outlier analysis
Descriptive analytics
1.Appreciation of analytical reasoning and empirical findings from data
2.Challenges in data visualisation and data interpretation
3.Interpretation of raw data
4.Interpretation of statistical summary of data
Experimentation
1.Identifying a business problem
2.Creating a hypothesis to solve the business problem
3.Defining parameters that validate the hypothesis
4.Testing the hypothesis through analysis
5.Interpreting the results of the analysis
Predictive analytics
1.Business forecasting principles and issues
2.Artificial Intelligence and Machine Learning in decision-making – the role of supervised learning
3.Role of supervised and unsupervised learning in decision-making
4.Time-series analysis based decision-making
5.Combining human expertise with data-driven intelligence for decision-making
6.Artificial neural network and deep learning in decision-making
Prescriptive analytics
1.Learning through simulation and games
2.Individual and group decision making issues
3.Use of discrete optimisation concepts in decision-making
4.Insights from game-theoretic situations, network externalities and network effect on the economy
5.Information cascade effects in decision-making
Global perspectives of business analytics
1.Business analytics case studies from Europe, North America, China, Japan, Asia
2.GDPR and emerging data privacy laws and concerns across the globe
3.Data security concerns and best practices across the globe.
ELIGIBILITY
1.Graduate with minimum 10 years of work experience and currently employed
2.Minimum 50% in Graduation/Post Graduation
3.Screening & selection will be done by IIMC