Expand+This programme qualifies for the Human Capital Initiative – Pillar 1 funding

The Human Capital Initiative is funded from the National Training Fund (NTF).

Eligible applicants for the Graduate Diploma in Digital and Data Strategy in Financial ...

Hide-This programme qualifies for the Human Capital Initiative – Pillar 1 funding

The Human Capital Initiative is funded from the National Training Fund (NTF).

Eligible applicants for the Graduate Diploma in Digital and Data Strategy in Financial Services under HCI 2020 are as follows:

Those in receipt of an eligible payment from the Department of Employment Affairs and Social Protection, and the formerly self-employed.

People not in receipt of a payment from the Department of Employment Affairs and Social Protection that have been out of the work environment for a number of years due to childcare or other caring obligations and have a previous history of employment but may require upskilling or reskilling to transition back to the workforce.

*People in employment who wish to upskill or reskill to meet specific emerging skills gaps to prepare them for future work.

*The Graduate Diploma in Digital and Data Strategy in Financial Services will be fully funded by HCI for applicants falling within category 1 and 2 above. For those in category 3, a contribution of 10% of programme fees will be sought, with 90% funded by HCI.

Students will be able to enter these courses directly from their undergraduate courses without requiring a year’s break. For example, a student graduating in summer 2020 will be eligible for an HCI Pillar 1 course in autumn 2020. This cohort will be required to pay 10% of the cost of the course fee.

For further information contact springboardcourses.ie

Expand+The minimum entry requirements to the Graduate Diploma in Digital and Data Strategy in Financial Services are as follows:
• Relevant Honours degree (min. 2.2 L8 NFQ).
• Applicants who do not hold a primary degree but have relevant work exper...

Hide-The minimum entry requirements to the Graduate Diploma in Digital and Data Strategy in Financial Services are as follows:
• Relevant 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.

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)

Expand+Graduate Diploma in
Digital and Data Strategy in Financial Services
At a glance
Navigating the changing nature of financial services requires first-hand knowledge of digital and data strategy, culture and operations. This unique programme combin...

Hide-Graduate Diploma in
Digital and Data Strategy in Financial Services
At a glance
Navigating 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

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.

How you will benefit
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.

Expand+Modules and learning outcomes
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)

Strategy and Culture in a Di...

Hide-Modules and learning outcomes
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)

Strategy and Culture in a Digital Transformation Environment - (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

Strategy and Culture in a Data and Analytics Environment - (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)

Digital Assets and Operating Model - (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

Talent and Assets Management - (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)

Designing and Delivering Digital Transformation - (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

Driving Business Outcomes - (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