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I know, let’s sign upI have an account, let me sign in firstNavigating the changing nature of financial services requires first-hand knowledge of digital and data strategy, culture and operations. This unique programme combines both digital transformation and data analytics, giving you the opportunity to accelerate your career by studying two of the most in-demand topics in financial services right now.
For people who are interested in
All areas of the financial services sector
Those working in international financial services
Those working in fund management
Those working in banking
Learners will be at managerial and leadership level, or aspiring to a leadership role
This programme qualifies for HCI Pillar 1 Funding View Requirements |
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Digital Transformation
Even prior to Covid19, digitalisation was transforming the world around us, but since the onset of the pandemic the pace of digitalisation has accelerated to such an extent that many commentators are predicting that what previously they thought might occur in the next 7-10 years in now likely to happen in the next 2-5yrs.
This rapid acceleration of this digitalisation only exacerbates the challenge (& opportunity) to the Financial Services sector:
Consumers are increasingly having their needs met through digital channels and their ‘big tech’ interactions are driving ever higher digital expectations.
New competitors and disruptive threats appear with increasing frequency and while Fintech has yet to reach ‘tipping point’ across the sector, it has already dramatically changed the ways we operate.
Innovation is now the expectation not the exception, but most companies are finding it difficult to integrate ‘new’ approaches into their more traditional business models and bigger investments are not always leading to bigger returns.
At the same time, the value chain (and our value propositions) is being broken down as we see the rise of platforms and the networked business model.
The digital transformation section of this programme gives you an overview of what’s happening globally and the impact on the sector, the effect of changing consumer demographics and economic systems, and the evolving digital landscape.
Data and Analytics
Research proves that data-driven businesses show significantly better financial and market performance relative to competitors. This trend towards using 'Big Data', fuelled by the ever-increasing availability of digital information and the increasing computation power, is also observed in financial services. By leveraging analytics and new big data technologies companies can create valuable insights about their business and develop data-driven innovations which gives them a competitive advantage. However, due to the technical nature of this topic, developing a data and analytics strategy is often a challenge. Today, leaders in financial services should have a proper understanding of this topic to make their organisation future proof.
The data and analytics section of the programme will give you a better understanding of the data and analytics environment. At a leadership level, you will be guided through the basic principles of various analytical concepts and their business applications. By engaging in this, you will have a better understanding of recent business and technology trends in this field. This should help you in your communication with analytical experts and contribute to the design of a strategy that helps your organisation grow in terms of data driven maturity.
The programme aims to give students a solid grounding in the theories and practice pertaining to devising and managing / transforming the organisation’s digital and data strategy. On completing the Graduate Diploma in Digital and Data Strategy in Financial Services, learners will be able to:
Describe and explain the essence of data and digital strategy (theory and practice) and how outcomes shape digital transformation in an organisation
Analyse the impact of a data driven culture and design, implement and evaluate a digital strategy for a radical simplification programme in a financial services organisation
Communicate the current financial services ecosystem to stakeholders and illustrate how digital strategy (or lack of it) impacts on financial services firms’ corporate strategy
Evaluate the procedures / new technologies within an organisation which assist and empower its personnel/ business units as they learn to use data and analytics in their everyday work
Ascertain and respond to strategic challenges and opportunities of digital transformation for financial services organisations
Assess their role within an organization and their personal competencies and capabilities in advancing and progressing the role.
Delivery and Assessment
This programme is delivered online and is assessed through continuous assessment.
IOB programmes are largely delivered and assessed online. Students should ensure they have appropriate equipment (laptop), and that appropriate software (including MSOffice: Office and Word) is available to them to participate in the programme and related assessments (continuous assessments and exams).
Award
When you successfully complete this programme, you will be awarded a Graduate Diploma in Digital and Data Strategy in Financial Services from UCD.
This is a level 9 qualification on the National Framework of Qualifications.
Progression
This award is on the Pathway to MSc in Financial Services. Those wishing to continue their studies and achieve the MSc will receive the higher award only. To find out more, please visit iob.ie/programme/msc-financial-services
Spring Trimester 2025 - (Assessment in May 2025)
4 February 2025
24 January 2025
This programme enrols three times a year. To see other enrolment dates in the 2024-25 academic year, please click on Key Dates.
Contact
For more information please contact the Programme Manager, Lorraine Duane at [email protected]
This programme runs over one academic year, and students will complete two modules per trimester
(Each module carries 10 (ECTS) academic credits)
Autumn Trimester (October – January)
(NFQ Level 9, 10 ECTS)
Forces driving digital transformation
Technology trends
Dispelling the myths of digital transformation
Disruption and digital business models
Domains of Strategic Transformation (Customer, Competition, Data, Innovation and Value Proposition)
Innovation
Value Proposition development
Engaging the C Suite
(NFQ Level 9, 10 ECTS)
The data and analytics environment
Data and analytics prototyping
Value from data framework
Future impacts
Data maturity and mindset
Building a data culture
Documenting data sources and data maturity analysis
Data ethics, regulatory environment and compliance
Spring Trimester (February – May)
(NFQ Level 9, 10 ECTS)
Building blocks of a digital business
Digital 360O – how to frame the organisational layers of digitisation
Customer centric business models
Harnessing data to support prioritisation, personalisation and operational excellence
Unwrapping agile
Establishing innovation
Evaluating the digital operating model
Developing the transformation roadmap
Understanding software development and deployment
Digital architecture blueprints
Managing digital risk
Digital skillset and learning paths
(NFQ Level 9, 10 ECTS)
Data Management definitions, frameworks and capabilities
Building a data and analytics team
Meta data and data architecture
Data quality management
Data management frameworks
Data Warehousing and business intelligence
Privacy, data governance and cyber security
Data Management Technologies
Summer Trimester (June – September)
(NFQ Level 9, 10 ECTS)
Common transformation pitfalls
Managing change
Change leadership
Customising change
Transformation toolset
Data, dashboards and KPIs
Business Agility
Design thinking
Developing the business case for digital transformation
Realising the benefits
(NFQ Level 9, 10 ECTS)
History and background to Artificial Intelligence (AI)
Introduction to AI
Robotic Process Automation (RPA), Maching Learning
Neutral Networks and Natural Language Processing (NLP)
Chatbots, Recommender Systems and Intelligent Agents
Understanding algorithms
AI bias, ethics and explainability
AI strategy and governance
AI use cases within financial service
Global view of AI
This programme enrols three times a year
Spring Trimester 2025 - (Assessment in May 2025)
4 February 2025
24 January 2025
Entry requirements
The minimum entry requirements to the Graduate Diploma in Digital and Data Strategy in Financial Services are as follows:
An honours degree (min. 2.2 L8 NFQ).
Applicants who do not hold a primary degree but have relevant work experience at a middle or senior management level are eligible to apply and will be considered on a case-by-case basis.
Professional body membership
You must be a current member of IOB, or become a member, to undertake this programme.
For more information on the membership fee and the benefits of being an IOB member, please click here.
Eligible applicants for the Graduate Diploma in Digital and Data Strategy in Financial Services under the HCI Graduate Conversion Courses 2021 are as follows:
1. Be living full time in the Republic of Ireland
2. Have your own, valid PPS Number
3. Meet the nationality/visa requirement
You are an EU/EEA/UK/Swiss national or:
You have permission to remain in Ireland as a family member of an EU citizen or;
You have Stamp 4 or Stamp 4 EU FAM on your GNIB residence card or;
You have official refugee status in Ireland / are here on the basis of refugee family reunification or;
You have been granted Humanitarian Leave to Remain in the State (prior to the Immigration Act 1999) or;
You have permission to remain following the Minister’s decision not to make a deportation order.
4. Have lived in either the EU, the EEA, the UK or Switzerland for at least 3 out of the last 5 years
If you are a Stamp 4 or Stamp 4 EU FAM holder, residency is calculated from the date you received your stamp. Any time before this cannot be counted
If you have refugee status in Ireland, residency is counted from the date you applied for International Protection.
5. Have completed a level 8 degree
When applying for a course through Springboard+ you will also need to apply on the basis of either being:
Employed - working either for yourself or someone else.
Unemployed - not currently working, receiving a qualifying welfare payment from the Department of Social Protection (unless you are formerly self-employed) and actively seeking employment.
A Returner - a Homemaker, on other caring duties, or economically dependent on a partner/spouse for at least 9 of the last 12 months
A Recent Graduate - a graduate who completed their studies in the year 2020 or 2021.
As places on HCI courses are limited, applicants who are on a qualifying Social Welfare payment will always take priority over others.
To find out more about the conditions and requirements for eligibility, including what you will need to do to confirm your status please visit HEA - Springboard+ (springboardcourses.ie)
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