Expand+L7 and L8 Key Dates
Autumn Trimester
September 2021 – January 2022
Closing date for applications* 13/09/2021

Spring Trimester
January 2022 – May 2022
Closing date for applications* 28/01/2022

Summer Trimester
June 2022 – September 2...

Hide-L7 and L8 Key Dates
Autumn Trimester
September 2021 – January 2022
Closing date for applications* 13/09/2021

Spring Trimester
January 2022 – May 2022
Closing date for applications* 28/01/2022

Summer Trimester
June 2022 – September 202
Closing date for applications* 27/05/2022

* Places may be available after this date depending on availability.
Key dates:
https://assets.ctfassets.net/19hllh2ssa3x/60iIiNlGEyKehWk7NYgVVn/d8982b4b4aeaa07c76c5c1eae1444abd/IOB_Prospectus_21-KeyDates-Level_7-8_V2.pdf

Expand+Entry Requirements
The minimum entry requirements are as follows:
• Five passes in the Leaving Certificate, including English and Mathematics
• Five O Level/GCSE passes, including English Language and Mathematics

IOB will ...

Hide-Entry Requirements
The minimum entry requirements are as follows:
• Five passes in the Leaving Certificate, including English and Mathematics
• Five O Level/GCSE passes, including English Language and Mathematics

IOB will also consider applications on a mature candidate basis from applicants who are 23 years of age before the date of their application for admission to the programme.

Professional Body Membership
You must be a current member of IOB, or become a member, to undertake this programme.

Expand+Skillnet Funding
Please note when completing your IOB registration form, IFS Skillnet grant funding is currently only available for modules that commence in 2021. Funding for 2022 modules will be available from January 1st 2022. You should check i...

Hide-Skillnet Funding
Please note when completing your IOB registration form, IFS Skillnet grant funding is currently only available for modules that commence in 2021. Funding for 2022 modules will be available from January 1st 2022. You should check if your company has IFS Skillnet approval, and if so, please complete this form:

Professional Certificate in Digital Financial Services and Data Analytics - IFS Skillnet form
Note: students without IFS Skillnet funding should apply using the Enrol Now button above.

Expand+Overview
At a Glance
This programme is aimed at students working in operations and service support roles in banking who wish to advance their studies in the area of digital transformation.

The programme seeks to develop an understanding of the i...

Hide-Overview
At a Glance
This programme is aimed at students working in operations and service support roles in banking who wish to advance their studies in the area of digital transformation.

The programme seeks to develop an understanding of the impact and relations between process, technology and data. This will enable students to identify their role in the interaction of these elements and provide a foundation for students to begin to analyse data in order to identify improvements in the processes supporting digital financial services.

Who is this programme for?
This programme is aimed at students working in operations and service support roles in banking who wish to advance their studies in the area of digital transformation.

The programme seeks to develop an understanding of the impact and relations between process, technology and data. This will enable students to identify their role in the interaction of these elements and provide a foundation for students to begin to analyse data in order to identify improvements in the processes supporting digital financial services.

With increased digitisation in many industries, and in particular with its disruptive potential in financial services, understanding the impact of digital on customers, products and channels has never been more important. Digital changes are already generating a wealth of useful data. With the power of data to enhance customer services and processes, understanding data and being able to use data will be a basic requirement in any job in the future.

How you will benefit
On successful completion of this programme, you will be able to;
• Describe the relationship between business processes, digital technology and data, especially as it relates to operations, the customer and other stakeholders such as the Central Bank of Ireland, Financial Services Ombudsman, Data Protection Commissioner, etc
• Identify key digital technologies in financial services business, processes and customer service provision and explain the critical risks and vulnerabilities which must be managed in financial services digital systems
• Apply basic statistical and data visualisation techniques and identify how they can be used to challenge assumptions underpinning the information used for decision-making
• Compare and interpret the different kinds of data and how data relates to information, business intelligence for decision-making and the differences between using data for analysis and using data for predictive modelling
• Collect, organise and use data to identify process improvements for operational or organisational efficiency and/or enhanced customer service
• Prepare and present concise data informative reports in response to well-defined questions or problems.

Continuous Professional Development
If you hold an IOB designation or a designation managed by IOB, CPD hours may be awarded on successful completion of this programme.

Expand+Modules and learning outcomes
Digital Financial Services (NFQ Level 7, 5 ECTS)
Describe the information society and explain the impact of digital technologies for economies, business, management and financial services in the medium and long term

...

Hide-Modules and learning outcomes
Digital Financial Services (NFQ Level 7, 5 ECTS)
Describe the information society and explain the impact of digital technologies for economies, business, management and financial services in the medium and long term

Outline the Information Technology elements, human inputs and processes that go into creating digital services and products

Describe online banking from both the bank and customer perspective

Trace how the digitisation of payments has evolved from credit and debit cards to instant online payments, digital wallets and of the emerging business landscape within the digital financial services sector

Assess technologies, products and services in early stage development that may impact on the digital financial sector.

Introduction to Data Analytics for Financial Services(NFQ Level 7, 5 ECTS)
Explain how Data Analysis and Business Intelligence are being used to modernize and drive value in financial services

Explain the conceptual foundations of Business Intelligence and describe the project frameworks for successful delivery

Explain how data is managed, governed and controlled at enterprise scale and how a data analyst carries out data management Apply the fundamental techniques and tools for data analysis Apply the practical skills to develop Business Intelligence report and explain how BI solutions scale to enterprise level

Applications of Data Analytics in Digital Financial Services (NFQ Level 7, 5 ECTS)

Outline how Advanced Analytics is being used to modernize and drive value in financial services. Explain how basic descriptive statistics bring extra rigour and depth to data analysis.

Draw conclusions from data using the basic techniques of inferential statistics. Use the powerful business technique of A/B testing to determine best outcomes. Explain how predictive modelling techniques are applied to solving real world problems Outline the wider set of analytical tools and how to choose the appropriate tool to solve your business problem.

Expand+Combination of continuous assessment and written exams.

Students will be assessed in a variety of ways across the three modules. The continuous assessment components will include completing essay-style reports, commentaries, practical projects a...

Hide-Combination of continuous assessment and written exams.

Students will be assessed in a variety of ways across the three modules. The continuous assessment components will include completing essay-style reports, commentaries, practical projects and case studies.
• Exam duration for Digital Financial Services: 120 minutes
• Exam duration for Introduction to Data Analytics: 120 minutes

There is no end of trimester exam for the Applications of Data Analytics module, it is assessed on 100% continuous assessment.