Certificate Examination in Emerging Technologies - Exam Pattern, Syllabus, Eligibility & Fees

Emerging Technologies Exam Dates – Schedule 2021

Exam Dates Registration dates
09-10-2021 07-09-2021 to 29-09-2021
23-10-2021 07-09-2021 to 29-09-2021

What is the objective of Emerging Technologies ?

The course on “Emerging Technologies” will help bankers to familiarise themselves with these new technologies and remain ahead of the learning curve.


1. Members and Non-Members of the Institute

2. Candidates must have passed the 12th standard examination in any discipline or its equivalent

Exam details

  • (i) Question Paper will contain 100 objective type multiple choice questions for 100 marks.
  • (ii) The examination will be held in the remote proctored mode only.
  • (iii) There will NOT be negative marking for wrong answers.

The duration of the examination will be of 2 hours. Examination will be conducted on pre-announced dates published on IIBF Web Site.

Examination will be conducted in English only.

Passing Criteria

Minimum marks for pass in the subject is 50 out of 100.

Exam Fees – Rs 1100 for Members and Rs 1600 for Non Members (Plus applicable taxes)

Where will I get Emerging Technologies Model Question Papers?

Emerging Technologies Exam Mock Test


The Institute conducts its examinations through Multiple Choice Questions (MCQs). These MCQs are part of the Question Bank of the Institute and its Intellectual Property. As a matter of policy, these MCQs and their answers will not be shared by the Institute with the candidates or others and no correspondence in this regard will be entertained.

Syllabus for Certificate Examination in Emerging Technologies

Book 1:

Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners by Herbert Jones.


Part 1 : Data Science

What the best Data Scientists know about Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data – That You Don’t.


Chapter 1: What is Data Science ?

Chapter 2: The Art of Data Science

Chapter 3: Data Science as a Change Agent

Chapter 4: Data Science Techniques

Chapter 5: Data Visualization

Chapter 6: Machine Learning for Data Science

Chapter 7: Data Science and Big Data Analytics

Chapter 8: Data Science Tools Towards Data Science

Chapter 9: Data Security – Protect Major Enterprise Assets

Chapter 10: Mastering Your Data with Probability

Chapter 11: Data in the Cloud

Chapter 12: Artificial Neural Networks

Chapter 13: Data Science Modeling and Featurization

Chapter 14: Five Mining Techniques Data Scientists Require for Their Own Toolbox

Chapter 15: The Concept of Decision Trees in Data Science


Part 2: Data Science for Business

Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners


Chapter 1: What is Data Science?

Chapter 2: How Big Data Works in Data Science

Chapter 3: Explorative Data Analysis

Chapter 4: Working with Data Mining

Chapter 5: Data Mining Text

Chapter 6: Basic Machine Learning Algorithms to Know

Chapter 7: Data Modeling

Chapter 8: Data Visualization

Chapter 9: How to Use Data Science Right

Chapter 10: Tips for Data Science


Book 2:

Blockchain Evolution Explained A Beginners Guide to Understanding Blockchain Technology by Daniel Lincoln


Chapter 1: What is a Blockchain?

Chapter 2: History and Evolution

Chapter 3: How Does Blockchain Work?

Chapter 4: Benefits of Using Blockchain Technology

Chapter 5: Downsides and Potential Dangers

Chapter 6: The Future of Blockchain Technology

Chapter 7: Frequently Asked Questions