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The UNLV Lee Business School's Master of Science in Quantitative Finance (MSQF) is a 30-credit program consisting of 10 courses, designed to be completed within one year. This graduate program delivers in-depth instruction in fundamental finance principles while focusing heavily on quantitative financial approaches and emerging fintech applications. The curriculum covers mathematical finance theories alongside statistical and computational techniques for processing extensive financial datasets. Theoretical components address capital structure, investment valuation, securities analysis, derivative instruments, and portfolio strategy. Practical training involves programming and modeling with tools like SAS, Stata, Excel, and Python for handling complex financial data. Participants can select specialized electives to tailor their expertise for corporate finance roles, asset management positions, or financial technology implementations. This program aims to produce finance experts skilled in applying cutting-edge technologies for comprehensive financial evaluation and decision-making.
Program Objectives
Master essential financial theories and principles.
Employ sophisticated statistical and econometric methods for data examination.
Utilize programming languages and analytical software for financial data processing.
Evaluate financial challenges systematically and propose viable resolutions.
Acquire proficiency in managing and interpreting substantial financial data collections.
Enhance professional communication skills.