Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking certification is only an eight weeks course. This certification is offered jointly by Emeritus and the Imperial College Business School Executive Education which is verified digitally. This certification programme which is online helps develop a broad understanding for people who are bankers and pass on insights towards upgrading technologies in the banking industry.
Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking training will help the participants in understanding the challenges, driving elements, key players, and trends for building an operational strategy. These 8 weeks of rigorous training will be building up foundational level knowledge in fintech and its components. Finally, the candidates will be coming out with flying colors in the knowledge of blockchain, machine learning, cryptocurrency, and artificial intelligence.
The Highlights
- 8 weeks course
- Only online sessions held
- 5–7 hours every week
- Certificate of completion
- Renowned Faculty
Programme Offerings
- 8 Weeks Course
- online programme
- online learning
- Digital certificates
- Group learning
- Orientation
- Testimonials
- Flexible Payment
- Group Discount
- LIVE Webinars
- assessments
- Interactive activities
- 12 months course access.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Imperial College Business School, London |
The Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking certification fee by Emeritus are £1,280 where students who have referrals may be offered the course at a £128 discount. Again, the students may get 10% discounts if they come to get enrolled in groups.
Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking Fee Structure
Description | Amount in Pound |
Programme Fee | £1,280 |
Referral Discount | £128 |
Eligibility Criteria
Certification qualifying details
Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking certificate by Imperial College Business School Executive Education will be given after programme completion.
What you will learn
With the Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking certification syllabus, the candidates will be learning:
- They shall learn functions that already exist in banks for uncovering inefficiencies.
- With respect to the functions in respective countries, candidates will be able to compare how digital banks perform versus standard ones.
- Candidates will be able to determine tactics so that new customers and services can be attracted.
- The learners will also understand how functions become better with artificial intelligence and machine learning.
- These candidates will also be able to understand the limitations that the above concepts have when analysing results.
- The participants will also be applying AI and ML concepts in the real world.
- Candidates will be able to determine solutions for implementing flat digital currency versus the newly emerged cryptocurrency.
- Candidates can compare risks for both fintech, and the usual companies.
- These aspirants will be predicting which functionalities remain in the bank vs which shift outside.
- Candidates will be developing the integration plan for fintech under a financial organisation.
Who it is for
Follow this list below to see who all can be eligible:
- Finance professionals who want to understand the changing financial technologies in the banking field.
- Senior management of fintech startups wanting to assess their future of financial services.
- Regulatory, and risk compliance professionals who want an improvement in their fintech knowledge.
- Consultants who offer fintech services and want to always have information about recent trends.
Admission Details
Here is the Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking classes admission process:
Step 1: Visit the official site: https://execed-online.imperial.ac.uk/financial-technology/.
Step 2: The candidates may scroll further down, and click on the ‘Apply Now’ button that can be found on the website itself.
Step 3: After clicking that button, and making new accounts these participants must re-login.
Step 4: When logging can be done with all force, the fee must be cleared.
Step 5: Only after the fee is paid, the admission can be given.
Application Details
When details of the person as personal information, professional information is filled in, and then the choice of fee payment is selected, the application form is deemed completed.
The Syllabus
- Identify existing functions within banks
- Uncover potential inefficiencies and liabilities of fintech
- Propose a tech solution for an existing bank function to improve inefficiencies
- Understand benefits and disadvantages of fintech according to functions of each bank type
- Rate comfort level with Robo-advisors providing digital financial advice and management
- Suggest factors of banking that should be tailored to customers
- Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking
- Determine the best tactics to attract new customers for loans
- Rate the difficulty level of the steps involved in the lending process along with the extent of automation possible for each step
- Suggest alternative factors to evaluate default risk for an unbanked customer
- Determine which functions would be better utilised with machine learning
- Apply the concepts and applications of ML and AI to real-world scenarios
- Utilise ML tools to analyse results and determine risk factors
- Identify situations in which a blockchain or distributed ledger technology (DLT) would be useful
- Assess scenarios related to the public blockchain, private blockchain, cryptocurrency, and
- digital fiat currency
- Apply DLT and blockchain to personal financial setting
- Sort risks according to whether they apply to fintech or regular financial institutions
- Determine likelihood and necessity for regulations within fintech
- Predict which functionalities will remain in banks and which will shift to an outside entity
Develop a plan for integrating fintech within your organisation.
Instructors
Imperial College Business School, London Frequently Asked Questions (FAQ's)
Machine learning is the most widely used technology.
Students and the LMS panel are introduced.
The assignment deadlines are weekly.
During the course, live webinars get hosted by the programme faculty.
A learning team is designed for this kind of follow up session.