Data & Analytics in Financial Services
This programme is relevant to all areas of the financial services sector, in particular international financial services, fund management and all areas of banking.
| Award Name | Special Purpose Diploma (Level 9 NFQ) |
|---|---|
| NFQ Classification | Special Purpose |
| Awarding Body | University College Dublin |
| NFQ Level | Level 9 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Special Purpose Diploma (Level 9 NFQ) | Special Purpose | University College Dublin | Level 9 NFQ |
Duration
Duration: Varies
Delivery is online
Entry Requirements
Students seeking admission to the MSc Pathway or its constituent programmes must possess:
An Honours degree (min H2.2, Level 8 NFQ) in business or a related discipline
or
An Honours degree (H2.2, Level 8 NFQ) in a non relevant business discipline and 3 years' relevant work experience
or
Admission many also be considered for experienced professionals who do not meet the admission requirements as set out above, where they can demonstrate knowledge through their work
Professional body membership
You must be a current member of IOB, or become a member, to undertake this programme.
Careers / Further progression
Continuous Professional Development
If you hold an IOB designation or a designation managed by IOB, CPD hours may be awarded on successful completion of this programme.
Further information
Next intake Autumn Trimester - (2024-2025 academic year)
Please note that the programme content and fees are subject to change in the 2024/2025 academic year. Any changes will be outlined in the 2024/2025 prospectus and at iob.ie in August - the start of the new academic year.
€1,760 per module.
Who is it for?
Learners will be at managerial and leadership level or aspiring to a leadership role.
Award
Professional Diploma in Data and Analytics in Financial Services from UCD.
This is a level 9 qualification on the National Framework of Qualifications and carries 30 ECTS.
Modules and learning outcomes
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
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
Privay, data governence and cyber security
Data management technologies
Driving Business Outcomes - (NFQ Level 9, 10 ECTS)
History and background to Artificual 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
100% Continuous Assessment.
How you will benefit
On successful completion of this programme, you will be able to:
Describe and explain the challenges and opportunities provided by integrating data and advanced analytics in the provision and management of financial services
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
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
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
Communicate clearly (using appropriate media) to pertinent stakeholders the impact of data and analytics on financial services and products design and delivery
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.
education@iob.ie
Phone: +353 (0)1 6116 500