Financial Analytics - Professional Diploma Programme content
Upskill in financial data analysis, AI, and machine learning with UL’s flexible, online Professional Diploma in Financial Analytics.
Key information
EU fees per year
€5,250
NFQ Level
NFQ Level 9 Minor
Duration
One year
Attendance
Part-time
Programme type
Taught, Professional / Flexible
Delivery
Online
Start date
September
Award
Professional Diploma
Key information
- Complete part-time in one year
- Delivered online with a mix of pre-recorded and live lectures
- Modules taught during autumn, spring and summer semesters
- Approx. 12 weeks per semester
- Modules with (M) beside them can be taken as independent micro-credential
- Can be used to complete 30 credits towards Master of Professional Practice (MPP) or MSc Engineering Practice
You will learn through a blend of
- Lectures, workshops, and hands-on activities
- Reflective practice and guided research
- Regular feedback from faculty and peers
Part-time considerations
- Designed for working professionals
- Evening or recorded lectures
- Additional prep and group work time
- Timetable provided after registration
Programme content
Core modules
- Data Exploration & Analysis (EC5007) (M) equips you with the skills to analyse data using both descriptive and inferential statistical techniques. You will also learn how to critically evaluate the analyses of others, strengthening your ability to interpret and communicate data insights.
- Machine Learning for Finance (FI6024) offers a practitioner-focused introduction to machine learning algorithms used in capital markets and asset management. You will gain hands-on experience applying these techniques to real-world financial scenarios within the international financial services sector.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
Core modules
- Deep Learning for Finance (FI6015) provides practical, industry-focused skills in deep learning algorithms. You will explore artificial neural networks, a key subfield of machine learning, and learn how these brain-inspired models are used to solve complex financial problems.
- Derivative Markets (FI6035) introduces the latest concepts and techniques in derivatives, helping you understand the economic principles behind their pricing and use. You will also explore how derivative knowledge can be applied in machine learning contexts to enhance financial decision-making.
- Future Focused Professional Portfolio 2 (MN5152) prepares you to think strategically about the future by exploring futures thinking and scenario planning. You will develop your creativity, critical thinking, and collaboration skills to navigate uncertainty and complexity in professional environments.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
