Expand+Requirements
Students seeking admission to the MSc Pathway or its constituent programmes must possess:
• An Honours degree (second class honours grade 2 award or higher)

or
• Admission many also be considered for experienced professionals w...

Hide-Requirements
Students seeking admission to the MSc Pathway or its constituent programmes must possess:
• An Honours degree (second class honours grade 2 award or higher)

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 i.e. they have more than 5 years’ experience in a management role (to 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.

Expand+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...

Hide-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.

Expand+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
• Dat...

Hide-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