BSc in Business Analytics - Operations Management in Newark United States | University of Delaware

The swift progress in information technology has led to an enormous surge in data production in recent times. This data originates from diverse channels including digital transactions, mobile apps, sensor networks, video surveillance, and social platforms, reaching volumes measured in terabytes or petabytes. Companies now have significant potential to extract operational and strategic value by collecting, processing, and interpreting this information.

Program Learning Objectives 1. Utilize analytical techniques to enhance decision-making and data storytelling. 2. Design and implement database systems aligned with business needs while mastering query languages. 3. Comprehend the complete machine learning pipeline along with fundamental supervised and unsupervised algorithms. 4. Participate in data acquisition, preprocessing, and governance. 5. Articulate practical applications of machine learning for solving business challenges. 6. Acquire adaptable skills for mastering emerging technologies. 7. Investigate ethical frameworks and misconduct in professional settings, applying ethical principles to future choices. 8. Select suitable probability models for representing real-world scenarios. 9. Employ Bayesian computational methods to evaluate potential data-generating models. 10. Present analytical findings through clear language and impactful visual representations. 11. Implement machine learning approaches for data examination. 12. Identify business challenges amenable to management science methodologies. 13. Cultivate competencies in information collection, model development, and outcome interpretation for informed decisions. 14. Differentiate modeling approaches (optimization, simulation, decision analysis) based on data characteristics and analytical requirements. 15. Evaluate business cases and propose actionable solutions using analytical software. 16. Examine how analytics informs corporate strategy. 17. Develop expertise in processing unstructured data through machine learning. 18. Create and deploy causal analysis methods for pivotal business choices. 19. Address practical business issues using analytical frameworks and instruments.