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Financial Analytics - Professional Diploma

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

The Professional Diploma in Financial Analytics equips learners with advanced competencies in financial data analysis, machine learning, and AI-driven decision-making.  

Through modules in data exploration, deep learning, derivative markets, and machine learning for finance, you will gain hands-on experience with statistical techniques and financial modelling tools used across the financial services sector.

You will also explore futures thinking and strategic planning, preparing professionals for roles in trading, investment, risk assessment, and financial data governance.

This programme is ideal for professionals working in finance, banking, insurance, or data analytics, as well as those with backgrounds in economics, business, computing, engineering, or mathematics who want to upskill for emerging roles in financial technology and digital transformation. 

This programme will earn 30 ECTS credits towards a Flexible Masters Pathway, allowing students to combine Postgraduate awards to achieve a Master’s over time.

During this programme, you will:  

  • Build advanced skills in financial data analysis, machine learning, and AI-driven decision-making.
  • Learn to interpret complex financial datasets and generate high-value insights for strategic decision-making.
  • Apply statistical and computational techniques to real-world financial problems, including risk assessment, trading, and investment analytics.
  • Develop innovative solutions using deep learning and other AI tools tailored to the financial services sector.
  • Strengthen your critical thinking, problem-solving, and leadership abilities in both digital and in-person environments.
  • Join a community of professionals committed to ethical practice and lifelong learning in finance and data science. 
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