This programme qualifies for IFS Skillnet funding. View details for more.
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.
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.
If you hold an IOB designation or a designation managed by IOB, CPD hours may be awarded on successful completion of this programme.
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.
When you successfully complete this programme you will be awarded a Professional Certificate in Digital Financial Services and Data Analytics from UCD.
This is a level 7 qualification on the National Framework of Qualifications.
€550 per module
This programme has IFS Skillnet funding available for certain companies. Important notice Autumn 2021:
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:
View the IFS Skillnet Checklist
Note: students without IFS Skillnet funding should apply using the Enrol Now button above.
Lorraine Duane - Programme Manager
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.
You must be a current member of IOB, or become a member, to undertake this programme.
Please note that modules must be completed in this order
(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
(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
(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.