University College Dublin
If you are interested & require further information, we will email you a copy of the programme brochure.
As you are not registered with us, you will need to upload proof you can enrol to this programme.
I know, let’s sign upI have an account, let me sign in firstThis programme is aimed at those working in operations and service support roles in banking who wish to advance their studies in the area of digital transformation.
University College Dublin
The programme seeks to develop an understanding of the impact and relations between process, technology and data. This will enable you to identify your role in the interaction of these elements and provide a foundation for you to begin to analyse data in order to identify improvements in the processes supporting digital financial services.
This programme qualifies for IFS Skillnet funding.
Funding it subject to availability
This programme is aimed at students working in any area of financial services who wish to understand and successfully navigate through an increasingly digitized and fast-changing sector.
It offers a sound theoretical and practical foundation in the subject that will help career starters to actively contribute to data and digital projects while providing senior staff with the technical context to manage technical staff and projects.
Whether you are on a general management or specialist track in credit, compliance or other key domain, you will find that this program is tailored to your financial services use cases and business realities.
At the end of this programme, you will be able to
Critically assess and analyze the fast-changing dynamics of the financial services ecosystem including traditional players, FinTechs and TechFins
Understand and leverage key transformational technologies such as AI and blockchain while mitigating risk
Analyze financial data for key use cases such as compliance, customer analytics, fraud detection, contact centre efficency, web usage and reputational analysis of social media
Produce robust Business Intelligence to transmit progress against KPIs at scale in a replicable and automated fashion
Understand how data analytics can be embedded in the financial services organization for continuous improvement of business outcomes
Appreciate the balance of risk mitigation and revenue generation required by a sound data governance strategy
Understand the role of AI in accelerating and redefining digital transformation
Make critical use of AI tools including supervised machine learning to reduce customer churn and catch fraud; social network analysis for KYC and LLMs for creating communiques
If you hold an IOB designation or a designation managed by IOB, CPD hours may be awarded on successful completion of this programme.
This programme has IFS Skillnet funding available for certain companies. You should check if your company has IFS Skillnet approval.
Please note funding available for modules running up until end of 2023 only, a new application will be required for modules running in 2024 if funding is available.
The availability of funding for modules in future trimesters will be confirmed in advance of their commencement.
Tax relief may be available to candidates who are paying fees in a personal capacity. Further information is available from www.revenue.ie.
Funding it subject to availability
Professional Certificate in Digital Financial Services and Data Analytics - IFS Skillnet form
View the IFS Skillnet Checklist
Note: students without IFS Skillnet funding should apply using the Enrol now button above.
€605 per module
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.
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.
There are no end of trimester exams for the this programme, all three modules are assessed on 100% continuous assessment.
Online
Autumn Trimester
06 October 2023
For more information please contact [email protected]
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.
This programme enrols three times a year.
Autumn Trimester
06 October 2023
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.
IOB was founded in 1898 by a small group of financial services professionals. Today we are Ireland's largest professional membership community.
Join IOB today