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Program Overview

 

 

The IIML-Wiley Executive Program on Business and Data Analytics is a unique program developed by IIML and Wiley to build leaders of tomorrow, who are expected to lead with a strong cognizance of technology, data and domain in a digital economy – and understand how to leverage all three for maximizing business growth. 
 
Developed by top faculty at IIML and Wiley along with the Wiley Innovation Advisory Council leading industry experts in emerging technologies, the 6-month intensive program implements a completely experiential learning integrating concepts as well as application of these concepts to context via deep exposure to hands-on use of data and analytics in multiple industries and functions.  

The program integrates classes by esteemed IIML faculty, various business cases and masterclasses by top industry experts, as well as labs and projects to deliver strong application of data, the technologies for managing and analyzing data, communicating insights from data, applying machine learning algorithms in various business scenarios and ultimately converting a business problem to analytics problem to build business processes and strategies which are driven by data and new technologies.

For organizations, this enables developing potential leaders who are ready for enabling business growth in a digital economy.

For professionals, this unique program build holistic future ready combination of skills in data, business and emerging technologies which assures  accelerate career growth.
 

Why this program is unique?

Extensive Contextual Learning 
in numerous business scenarios and use cases to demonstrate application of concepts

10 Masterclasses
by top industry thought leaders to introduce application of analytics in various domains and across enterprise functions

Industry-focused Curriculum

co-created by IIML and Wiley Innovation Advisory Council's top industry leaders to ensure industry-relevant

Outcome-based Learning
through extensive labs, case studies, projects and use cases

Program Delivery

The Program will be delivered through Online Live virtual classes and will also have immersions at IIM Lucknow's Noida campus. The immersion will have master classes from Business Leaders, Project work, Business Case Studies delivered by Industry experts. This will be followed with project work to ensure that the learners have learnt the ability to apply the learning.

2 immersion classes of
3 days each at IIM L Noida campus
Intensive Project Work, Contextual Lab Work and Case Studies
Master Classes with Top Business Leaders 
156 hours of learning

What the learners will get from the program

  • Ability to apply data analytics, emerging technologies such as AI and domain knowledge in business context

  • Skills in using Python, Tableau and R

  • Hands on exposure to descriptive analytics, predictive modeling, machine learning and data visualization 

  • Deep exposure to using AI, Data Analytics and Machine Learning in various industries and functions

  • Best in class training by IIM Lucknow's faculty and masterclasses  by top industry leaders of the Wiley Innovation Advisory Council (WIAC)

  • Access to global standard Wiley learning resources, labs, access to data, industry case studies

  • Alumni Status to IIM Lucknow's MDP Class

  • Multiple case studies, business problems, lab work, projects to ensure action-oriented learning

  • Certificate of successful completion from IIM Lucknow and Wiley
     

Eligibility

 

The program is intended for team managers, business unit heads, senior managers who are expected to step into leadership roles in future and be thoroughly conversant with the integration of data, technology, domain and business expertise to enable business growth.

  • For Indian Participants – Graduates (10+2+3/4) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline. The candidates should have scored minimum of 55% in Graduation. .

  • Minimum 1 year of work experience

  • Exposure to any analytics tool will be an advantage.

  • Proficiency in both spoken & written English is mandatory.

Program Curriculum

Week 1 - Orientation and Introduction to Data Analytics 

  • Understanding Data and Big Data

  • Business Applications of Big Data

  • Introduction to Analytics and Analytical Tools

  • Technologies for Handling Big Data

  • Future Trends and Technologies: AI, Blockchain, RPA, IoT

Week 2,3 and 4 - Statistics for Data Analysis

  • Types of statistical methods

  • Descriptive Methods- Graphical and Numeric

  • Probability theory

  •  Inferential Methods- Quantitative variables

  • Inferential Methods- Significance Tests

Week 5 and 6 - Data handling in R

  • Analytical Models and Approaches

  • Analytical Tools

  • Exploring R

  • Reading datasets into R, Exporting Data from R

  • Manipulating and Processing Data in R

Week 7 and 8 - Data Analytics and Data Visualization

  • Data Cleaning and Preprocessing

  • Social media analytics and text mining

  • Data visualization with Tableau

  • Guest Lecture: Implementing an Analytics data solution for Business

  • Guest Lecture: Marketing Analytics 

Week 9, 10, 11 and 12 - Advanced Analytics and Machine Learning

  • Introduction to Machine Learning

  • Linear Regression in R

  • Non-linear Regression

  • Graphical Models & bayesian Network 

  • Decision Trees

Week 13,14, 15 and 16 - Predictive Modeling techniques

  • Cluster Analysis

  • Artificial Neural Networks

  • Support Vector Machines

  • Time Series 

  • Additional Session: Association Rules Optional

Week 17, 18, 19 and 20 - Business Strategies with Analytics and AI with Industry experts

  • Guest Lecture: AI and Analytics led strategies for Business Transformation

  • Guest Lecture: AI and Analytics Led Strategic Interventions for CxOs

  • Guest Lecture: AI and Analytics for Finance and Insurance

  • Guest Lecture:  AI and Analytics for Retail and SCM

  • Guest Lecture: AI and Analytics for Healthcare Business

Week 21, 22 and 23- Case Studies
Business Problem Statement, Data Understanding, Data Handling, Model Building and Presentation

Program directors

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Dr. Ashish Dubey

Dr. Ashish Dubey is a Faculty Member in Marketing Area of IIM Lucknow. His teaching and research interests include Retailing, Sales and Distribution and Supply Chain Management. He has a PhD in Management from SJM School of Management, IIT Bombay. Prior to joining academics, he has worked in Industry at different positions in India as well as abroad. He also has keen academic interest in entrepreneurial ventures and start-ups.

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Dr. Garima Mittal

Dr. Garima Mittal is a faculty member in the Decision Sciences Area of IIM, Lucknow. She has a Ph. D. in Operational Research from University of Delhi. Her area of specialization is Operations Research with research interests in prescriptive analytics, multi-criteria decision making, mathematical modelling, fuzzy optimization and soft computing techniques. Her research articles have been published in international journals of repute.

Application Process

  • Fill and Submit an online application form.

  •  Post submissions, appear for the online exam (dates will be provided by our counselor at the time of discussion).

  •  IIM Lucknow and Wiley will review the application along with the documents and exam score to ascertain the selection and other criteria.

  •  The qualified candidates will be informed in the next 4 to 5 days and will have to deposit the full program fee within 7 days of the confirmation. If the candidate is not able to pay the program fees then the seat will be released for waitlisted candidates.

  Program Fees

    INR 1,99,000 plus GST 

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