UIUC’s MSDA in Accountancy arms accountants and analysts with deep expertise in Python, cloud SQL, and machine learning, tailored to financial data peculiarities. Students build anomaly-detection pipelines on AWS, visualize ESG metrics in Tableau, and debate algorithmic ethics with faculty who author PCAOB standards. A capstone forensic-analytics engagement with the Gies Fraud Lab cements skills in real-world stakes.
Graph analysis detecting related-party transaction webs
Auto-ML tax-provision forecast engine using economic indicators
NLP extraction of climate-risk disclosures from 10-Ks
Anomaly heat map flagging unusual supplier payments
Stream-processing pipeline auditing crypto exchange flows
RPA + OCR system automating lease-contract ASC 842 inputs
Reinforcement-learning model optimizing audit sample selection
Policy brief on AI explainability in external assurance
Interactive ESG scoring dashboard aligning SASB + TCFD
Synthetic financial-transactions generator for model training
Workshop on dbt modeling for accounting data warehouses
Podcast interviewing regulators on continuous audit futures
Cyber-fraud dataset creation with labeled social-engineered payments
Grant proposal for SMEs adopting open-source fraud analytics
Lead data-driven assurance and advisory with UIUC.
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