Mar 17, 2019
0 Students Enrolled

Programme Directors

Venue
Dubai, UAE and IIM Calcutta campus, Kolkata

Facilitator at Dubai
eSquare Academia, Dubai

Duration
One Year

Program Faculty
Select Full-time Faculty from IIM Calcutta

Certificate Issued by
Indian Institute of Management Calcutta

The Indian Institute of Management Calcutta (IIMC) was established as the first national institute for Postgraduate 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 Ford Foundation and Indian industry. During its initial years, several prominent faculty formed part of its nucleus, including Paul Samuelson, Jagdish Sheth, J. K. Sengupta, among others. Over the years, IIMC has grown into a mature institution with global reputation, imparting high quality management education. It has been playing a pioneering role in professionalising Indian management through its Postgraduate and Doctoral Level Programs, Executive Training Programs, Research and Consulting Activities.

Today, the institute serves as an autonomous body, continuously evolving to meet its goals in an ever-changing business environment.

The vision of the Institute is to emerge as an International Centre of Excellence in all facets of Management Education, rooted in Indian ethos and societal values. Over the past four decades, IIM Calcutta has blossomed into one of Asia’s Best Business Schools. Its strong ties to the business community make it an effective mechanism for the promotion of professional management practices in Indian organizations.

Today, IIM Calcutta attracts the best talent in India – a melting pot of academia, industry and research. The best and brightest young men and women pursue its academic programmes.

The main thrust of the training is to imbibe a sense of strategic outlook to management problems in the students. The emphasis, therefore, is on management as an integrated process and requires the students to develop a global view of economic, technological, cultural and political environment of the business.

INTRODUCTION:

Data-driven decision making is a must in any progressive organization as the risk of losing out in competition is too high otherwise. Myths and promises galore are there surrounding Data Science and Business Analytics. Success and failure stories of analytics ventures are visible across organizations. Self-styled experts and consultants keep sermonizing about the subject. Without requisite background and experience, making sense of it is not easy. Naturally, managers and executives who do not have adequate experience in the subject often get confused if it is a panacea, yet another hype, or something that requires informed attention. The reality is confounding to senior people, especially to those involved in tactical and strategic level decision making who have understandably not been formally trained in this emerging field. The result is the dilemma if they are treating the subject with the consideration it deserves, particularly, if they are overdoing the promises or myths surrounding analytics.

Dealing with data science and business analytics related decisions, irrespective of whether one is operating at an operational, tactical, or strategic level requires a fair understanding of statistical tools and techniques, modern machine learning and artificial intelligence, confidence in handling easy-to-use software tools for analytics, practitioner’s insights in the business domain one operates, and a balanced mix of qualitative and analytical mindset in solving business problems. Management executives who may not possess all these formal backgrounds and associated skills may justifiably feel hesitant in taking analytics related decisions with confidence. This ground reality paves ways for misunderstandings about the subject and leads to unwarranted expectations or missed opportunities in decision making by top management and also uncalled for expectations, confusions, and consequent inappropriate solutions to problems by the workforce at operational levels ostensibly in the name of analytics.

This executive development programme addresses the above concerns of professionals across industry verticals.

Facilitator:
eSquare Academia, Dubai

Venue:
Dubai, UAE and IIM Calcutta campus, Kolkata.

KEY DIFFERENTIATORS:

Addresses all four pillars necessary for a comfortable foundation in data science and business analytics, namely, (a) Statistical fundamentals (b) Machine learning, Artificial intelligence, and Deep learning fundamentals (c) Examples, applications, and case studies of the real corporate world linked to data science and analytics (d) Hands on experience with assignments and projects on analytics tools for confidence building.
Application areas and case studies for data driven managerial decisions making involving areas such as Customer relationship management, Churn management, New product/services introduction, Fraud management, Revenue management etc. will be addressed depending on the profile and interest of participants.
Entire academic delivery will be made by experienced Professors of Indian Institute of Management Calcutta, by the two Programme Directors mentioned below in particular.
Entire pedagogy will be face-to-face in a classroom ambience.
Innovative mode of delivery where this sixteen-day-programme is spanned over one year in six modules will enable working professionals to learn, study, digest, introspect and continue with the learning while meeting their professional and family commitments. Two modules, each of four-day duration, will be held in IIM Calcutta campus (Kolkata) and four other modules, each of two-day duration, will be held in a suitable hotel in Dubai.
Toward the end of the programme, an analytics project will be assigned to each participant on which they may work independently for a couple of months and explore the prospects of their learning from the modules for meeting challenging practical problems in organizations where analytics would be of help. Necessary guidance will be given during face-to-face interactions and also over skype, if necessary.
Evaluation and Certification will be done by the two Programme Directors.
PEDAGOGY
Classroom lectures, Case study and participatory learning, Group games, Simulations, Hands-on-experience on assignments and project.

WHO MAY ATTEND
Managers or executives interested in learning and promoting strategic, tactical, or operational decision making effectively using data science and business analytics as decision making aids would find the programme useful. People in the role of Marketing Manager, Business Analyst, Customer Experience Professional, Product Manager, Human Resource Manager and others with a passion for data driven decision making and analytical approach to problem solving will appreciate the relevance of the subject. All participants will be assumed to be graduates or postgraduates in any discipline. There is no pre-requisite but, though not necessary, some familiarity with elementary statistics and computer usage will be helpful.

PROGRAMME DIRECTORS/FACULTY:

Uttam Kumar Sarkar, Professor, is with the Management Information Systems Group of the Institute since 1997 and is presently the Dean of New Initiative and External Relations. He had earlier worked in multinational software firms, as a faculty at I.I.T. Delhi, and as a faculty at the University of Miami, Florida, USA. He is a B.Tech, M.Tech, and Ph.D in Computer Science and Engineering from I.I.T. Kharagpur. His current teaching and research interests include Business Data Mining, Social Networking Analysis, and Sponsored search market behaviour. He has published his research in leading international journals and conference proceedings. He can be reached by email at uttam@iimcal.ac.in.

Saibal Chattopadhyay, Professor, is a Statistician and is with the Operations Management Group of the institute since 1997 and is presently the Director of the institute. He had earlier been a faculty at the Presidency College Calcutta, University of Connecticut, Stamford, USA, and at University of Nebraska, Lincoln, U.S.A. He is an M.Sc. in Statistics from the Calcutta University, and M.S. & Ph.D in Statistics from the University of Connecticut, Storrs, U.S.A. His current teaching and research areas include Statistical Methods in Business, Sequential Estimation, Finite Population Sampling, and Environmental Monitoring. He has published his research in leading international journals and conference proceedings. He can be reached by email at chattopa@iimcal.ac.in.

CONTENT:

Module  Core theme  Content
1

 

Creating analytical mindset for decision making – the founding pillars 360 degrees of data science
and analytics – myths, promises, and reality;
Scope, potentials, and limitations of Statistical methods,
Data science, Business analytics, Data mining, and
Artificial intelligence as theory and business applications.
2

 

Analytics in action: Case studies, principles and practices Case Studies, Simulation games and Examples linked to data science and analytics in areas including Supply Chain Management, Banking, and Finance. Statistics in analytics: Descriptive measures, probability and sampling distributions, hypothesis testing, statistical inference, chi-square tests, non-parametric methods;

Machine learning and artificial intelligence in analytics:
Machine learning fundamentals, data mining principles, supervised learning, unsupervised learning, model building and model evaluation issues

3

 

Statistical and computational insights for analytics Dealing with decisions under uncertainty, Multiple linear regressions; Analysis of Variance (ANOVA), Demand forecasting and time series analysis; Predictive analytics using decision trees, Bayesian belief revision, Logistic regression
4

 

Data preparation and interpretation Data imputation, Outlier detection, Non-parametric methods, Data summarization, data presentation, and data visualization Dimensionality Reduction: Principal component analysis, Factor analysis.
5

 

Advanced analytics Deep learning and artificial neural networks Unsupervised learning methods, Social media data analytics Project assignment: Discussion on the problem, Deliverables, and Possible approaches to solution.
6

 

Analytics applications Quality analytics, Sig sigma, Control chart.
Big data analytics
Miscellaneous applications of analytics worldwide, Career options in analytics
Project presentations by individual participants and discussions on solutions presented
Examination and evaluation
Concluding thoughts

CERTIFICATION
The students will be evaluated on the basis of examinations for the modules. On successful completion of the programme, the participants will be awarded certificate of completion by IIM Calcutta.

TENTATIVE START DATE
Inauguration – November 2019

DURATION
One Year

SCHEDULES
Total 16 days (Full day)
Dubai, UAE – Six sessions in Dubai of two to three days each (primarily on weekends)
IIM Calcutta campus visits and other details regarding the programme will be discussed with the Programme Directors during their visit to Dubai.
Any change in the class venue, will be decided by Programme Directors in discussion with the participants.

ADMISSIONS
Interested candidates are requested to submit the completed application and all required documents at the stipulated time, in order to prepare the application for review by the Admissions Committee.

Please make an online application or apply off-line using the download as editable pdf. Be sure to type or print legibly and sign your application. If an off-line application, please mail as an attachment to the specified email id. Mailed applications are processed and acknowledged promptly upon receipt via email. IIM Calcutta and eSquare Academia reserve the right to foreclose applications depending upon exhaustion of seats.

NOTIFICATION OF ACCEPTANCE:
We acknowledge receipt of all applications and maintain all application information in strict confidentiality.

The Admissions Committee will review applications and qualified candidates are informed and admitted on a rolling, space-available basis. Once the review process has begun, applicants are notified within minimum time period via email regarding Admissions Committee decisions.

HOW TO ENROLL
You may fill in the enrollment form attached (you may also download it from our website) and email us a scanned copy or submit it in person at our office. Besides, you may choose to enroll online at our website, www.esquareacademia.com. As for fee payment, you can choose from a bank transfer, a cheque (account payee only, in the name of eSquare Academia FZ LLC). The following information will be handy in making bank transfers.

Bank Account Details

Company/Payee name: eSquare Academia FZ- LLC Bank: National Bank of Ras Al Khaimah, P.O. Box- 1531, Dubai, UAE Account: 0322075768001 IBAN: AE800400000322075768001 Swift: NRAKAEAK

 

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