Master analytics with this Senior Management Programme in Business Analytics by IIM-Calcutta

By 2024, over 50% of enterprises will replace outdated operational models with cloud-centric models that facilitate rather than inhibit organisational collaboration, resulting in better business outcomes, as per IDC. In today’s volatile business landscape, the myths, promises, and realities surrounding business analytics need to be confronted and addressed by organisations’ senior management teams. In addition, newer sets of capabilities are required to bring the value of the data gathered from all the frontline processes.

To address these challenges, IIM Calcutta has launched the Senior Management Programme in Business Analytics. This programme is targeted towards senior managers who appreciate how analytics could unleash value for the firm and its consumers. The programme combines strategic aspects of business analytics with relevant technology-oriented operational aspects for actionable appreciation of analytics by senior management. The inherent nature of the subject requires familiarity with high-school level mathematics and a penchant for analytical thinking. Upon successfully completing the programme, participants will be eligible for the prestigious IIM Calcutta Executive Education Alumni Status.

Modules

The program is broken down into seven modules.

Module 1: Business Value of Data Analytics

• Building a data-driven culture in an organisation

• Analytics readiness of an organisation and building a data-driven decision-making culture

• Building organisational team for making use of data science and analytics

• Appreciating the emerging nature of competition and the role of business analytics

Module 2: Statistics for Data Science

• The art of summarising data and statistical learning in decision-making
• Applied probability and decision-making under uncertainty
• Data sampling and the art of inferring about the population from samples 
• Regression techniques and the art of capturing relationships among variables of interest

Module 3: Descriptive Analytics

• Appreciation of analytical reasoning and empirical findings from data 
• Challenges in data visualisation and data interpretation

Module 4: Experimentation

• Data capture and preprocessing issues 
• Causal inference and analysis - Interpretation of raw data
• Interpreting results - Interpretation of statistical summary of data

Module 5: Data Sources

• Issues in filtering raw data for finding extract worth modelling
• Data extraction and cleaning - outlier analysis, dimensionality reduction in data cleaning

Module 6: Predictive Analytics

• Business forecasting principles and issues
• Artificial Intelligence and Machine Learning in decision-making - the role of supervised learning
• Role of unsupervised learning in decision-making
• Time series analysis based decision-making

Module 7: Prescriptive Analytics

• Learning through simulation and games 
• Decision analysis
• Individual and group decision-making issues
• Use of discrete optimisation concepts in decision-making 
• Game theory
• Insights from game-theoretic situations, network externalities and network effect on the economy, information cascade effects in decision-making 

Who should apply for this course

This Senior Management Programme in Business Analytics is suitable for:

• Managers and Senior Managers looking for a practical understanding of analytics to drive existing or future strategic initiatives and to tackle business problems using analytics within their organisations to propel their careers to the next level.

• Business/Systems/Data Analysts working in data-centric roles who want to explore the business value in analytics to balance business objectives with analytical outcomes. 

• Business Heads, CXOs, and Leaders who are at the forefront of decision-making in their organisations, recognising the need to leverage analytics for business growth and strategic initiatives and to be able to provide strategic leadership on analytics projects. 

• Senior Consultants who work with leadership teams to provide direction on how new and existing applications of business analytical techniques can lead to innovation and competitive advantage.

Eruditus Career Services

Eruditus will also help the professionals pursuing this course through:

• Building an impressive LinkedIn profile (group session)
• Job placement assistance
• Building an impressive resume (group session)
• Interview preparation (group session)
• Three 90-minute workshops from career management industry experts
• Job placement assistance from partner companies are published, applied to, and tracked to success via an online platform (offered in partnership with Superset)

Prerequisites for the course

 The course starts on 30 March 2022 and can be pursued by:

• Graduates with a minimum of 10 years of work experience and post-graduates with a minimum of 7 years of work experience. They should be currently employed.
• They should have secured a minimum of 50 per cent in Graduation/Post Graduation.
• Screening and selection will be made by IIMC.

The course fee is INR 5,95,000 + GST.

What are you waiting for? Apply here.