RISE for Financial Services - Artificial Intelligence (Module 1: Foundations of Artificial Intelligence in Financial Services (Synchronous e-learning))
About This Course
LO1: Identify relevant data sources and use programming tools to perform data collection
LO2: Perform standard data processing steps to improve data clarity, quality and integrity
LO3: Use database management system software to store and process data
LO4: Analyze data patterns using statistical approach
LO5: Test hypothesis of data and propose potential causes for unexpected findings
LO6: Understand problem statement and plan projects effectively
LO7: Address challenges during a project and mitigate risks
LO8: Drive projects and communicate progress and result with stakeholders in financial services context
What You'll Learn
The content is contextualised to the Financial Services sector.
Upon completion of this course, learners will be able to implement data management processes and systems to map data sources, processes and relationships, and transform and process multiple streams of data. They will be able to Identify and utilise appropriate statistical algorithms and data models to test hypotheses and derive patterns or solutions. Learner will also be capable of planning and driving medium scale projects or programmes, including allocating resources to different parts, and engaging stakeholders on the project's progress and outcomes.
Entry Requirements
Mid-career individuals who are passionate about pursuing a technology career in the Financial Services sector and who satisfy the following requirements:
• Singapore Citizen or Singapore Permanent Resident
• Minimum 21 years old
• Possess a tertiary qualification (Diploma/Degree)
• No prior work experience in the technology area of Artificial Intelligence
• If you are accepted into this program via a partner such as the Institute of Banking and Finance, you will also be required to meet any additional requirements that the partner may put in place (including passing a technical screening)