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Institute of Banking

Data & Analytics in Financial Services

Who is this programme for?

This programme is relevant to all areas of the financial services sector, in particular international financial services, fund management and all areas of banking. Learners will be at managerial and leadership level or aspiring to a leadership role.

How you will benefit

On successful completion of this programme, you will be able to:
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Describe and explain the challenges and opportunities provided by integrating data and advanced analytics in the provision and management of financial services

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Examine current practice pertaining to data and analytics in a financial services enterprise or unit and recommend enhancements in design and skills base to ensure the unit provides a competitive service

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Analyse the impact of a data driven culture and the business drivers in facilitating effective use of data and analytics tools and processes in financial services

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Identify the key features of and evaluate the procedures / new technologies within an organisation which assists and empowers its personnel / business units as they learn to use data and analytics in their everyday work

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Communicate clearly (using appropriate media) to pertinent stakeholders the impact of data and analytics on financial services and products design and delivery

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Critically reflect on your professional role and contribution to financial organisations in the context of the application of data and analytics technologies and systems in financial services (and related sectors) and the implications arising from such developments.

Continuous Professional Development

If you hold an Institute designation or a designation managed by the Institute CPD hours may be awarded on successful completion of this programme.

Entry requirements

The minimum entry requirements are;

a) An Honours degree (second class honours grade 2 award or higher) in a business or relevant cognate discipline or

b) An Honours degree (second class honours grade 2 award or higher) in a non-business (or relevant cognate) discipline plus three years' experience in a relevant role in financial services or

c) Exceptionally, students without a third level qualification but with extensive and demonstrable relevant financial services experience may also be admitted to the programme on a case-by case basis.

Professional Body Membership

You must be a current member of The Institute of Banking, or become a member, to register for this programme. Membership is currently €40 per calendar year.

Duration

Delivery

e-learning, live stream lectures and workshops

Number of credits

Strategy and Culture in a Data and Analytics Environment (NFQ Level 9, 10 ECTS)

Talent and Assets Management (NFQ Level 9, 10 ECTS)

Driving Business Outcomes (NFQ Level 9, 10 ECTS)

Further enquiries

Subjects taught

Modules and learning outcomes

01 Strategy and Culture in a Data and Analytics Environment (NFQ Level 9, 10 ECTS)

The data and analytics environment

Business and technology trends in data and analytics. The business value of data and analytics today. Regulatory environment and considerations. Data and analytics leadership.

Building a data and analytics strategy

Aligning data and analytics with enterprise strategies. Vision setting. Strategic frameworks for data and analytics. Opportunity mapping. Use cases in leveraging data and analytics. Aligning enterprise goals through data and analytics.

The data and analytics mindset

Engaging the C-Suite. Analytical acumen. Learning and education for data and analytics. Building data-drive decision making across the enterprise. Data tools and visualisation. Managing day day to day - integrity, dictionaries and longevity.

02 Talent and Assets Management (NFQ Level 9, 10 ECTS)

Best Practices in Data Management

Data management best practice. Data foundations. Data architecture. Data democratisation. Harnessing and filtering big data (structured/unstructured) New and emerging pillars in data management and architecture.

Data and Analytics Architecture and Technologies

Data storage and distribution. Data translation and quality. Data virtualisation. Data integration. Data processing. Data streaming. Knowledge discovery tools. Business Intelligence (BI). Predictive analysis. Cognitive (e.g. deep learning).

Managing Risk - Data & Analytics

Data governance. Data quality. Data longevity. Managing bias in decision making. Evaluating risk in data and analytics. Risk mitigation - software, hardware, data, operations, people, customer, and brand.

03 Using data to drive business outcomes (NFQ Level 9, 10 ECTS)

Leveraging Data & Analytics – Skills, Methods and Tools

Building the data and analytics team. Data analytics operating model. Interpretation and problem solving. Tooling and workplace. Learning and education for data and analytics.

Driving Business Outcomes

The application of 360 degree data and analytics. Aligning business strategy with data and analytics. Driving data and analytics business results. Framing questions and problem statements. The importance and limitations of data and analytics.

Future developments in Data & Analytics

Technology trends in data and analytics. Technology strategies and how they impact data and analytics. The importance and limitations of data, analytics, and modern technologies.

Comment

Award
When you successfully complete this programme you will be awarded a Professional Diploma in Data and Analytics in Financial Services from UCD.

Assessment method

Assessment

100% Continuous Assessment.

The pass mark is 40% in all modules in line with UCD academic policy.

Enrolment and start dates

Please contact the course provider for the next enrolment and start date.

Application Weblink

Course web page

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