FIN 550

Spring 2025 All Classes

All Classes

Big Data Analytics in Finance for Predictive and Causal Analysis

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Credit: 4 hours.

Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments. Students will apply these tools using R programming within the Amazon Web Services cloud computing environment.

Credit is not given for FIN 550 if the student has received credit for FIN 510 Big Data Analytics in Finance for Predictive and Causal Analysis (71511, 71512, 71513, 72873, 72874, 72875). Prerequisite: Consent of Instructor.

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FIN 550 class schedule data for spring 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	74066	Lecture-Discussion	BA2	9:30AM -10:50AM	TR	3007 Business Instructional Fac	Banka, A Gao, X	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Instructor Approval Required Section Info: Registration for FIN 550 has an application period during which interested students must complete an online application at https://go.gies.illinois.edu/FIN550Apply .This application period ends once open registration begins, after which the course will be open to all MSF and MSFE students. Restriction(s): Restricted to MS: Financial Engineering or MS: Finance Cost Rec - UIUC.
	74068	Lecture-Discussion	BD3	9:30AM -10:50AM	MW	3041 Business Instructional Fac	Molitor, D	Part of Term: 1 Date Range: 01/21/25-05/07/25 Section Info: . Restriction(s): Restricted to MS: Technology Management-UIUC or MS:Management -UIUC.