The Accountancy & Data Science BS blends rigorous accounting principles with machine-learning, cloud computing, and visualization skills. Students build fraud-detection models, automate invoice classification with RPA, and mine 10-K filings for investor sentiment. Graduates secure roles in audit tech, fintech analytics, and corporate strategy where numbers tell predictive stories.
ML model predicting going-concern risk from financial ratios
RPA bot automating multi-currency invoice classification
Text-mining sentiment analysis of annual reports
Smart-contract system automating royalty accounting
Visualization of global tax-rate changes and impacts
Benford-law fraud-detection dashboard with anomaly alerts
Cloud data-lake architecture for multinational consolidation
Ethics brief on bias in algorithmic credit scoring
Carbon-pricing scenario analysis on cost accounting
IoT production data linked to cost-variance dashboards
Deep-learning OCR for mobile receipt processing
VR warehouse-inventory audit training module
Policy memo on open-banking data-sharing standards
SQL workshop tailored for accounting analytics
Explainable-AI research on loan-loss provisioning models
Turn ledgers into intelligent insights at UIUC.
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