Master of Science in Financial Technology and Analytics
The Master of Science in Financial Technology and Analytics degree is a cohort STEM program for students who want to learn the quantitative skills required to analyze financial information, engineer financial products, identify risks and manage risks. The program is designed for students with or without a previous educational background in finance, but with a proclivity toward quantitative approaches to managerial issues.
Special tuition, fees and admissions requirements apply, and the program is supported entirely by participant tuition/fees. For complete admission and degree requirements, view the Graduate Catalog at catalog.utdallas.edu.
In addition to the academic coursework, the Jindal School offers a number of resources to enhance the learning experience. A finance trading lab offers you the opportunity to train and get certified using the Bloomberg Terminal. The lab also has access to several databases, including Thomson Reuters Eikon, S&P Capital IQ, SDC Platinum, Morningstar Direct and Wharton Research Data Services. The program also offers a series of workshops that prepare students for the workplace. These resources allow students to improve their quantitative and qualitative skills in analyzing financial data and managing risk. Beyond the lab, JSOM’s Career Management Center staff helps students to find internships and jobs and hosts guest speakers and events.
Financial data analytics and risk management are becoming two of the hottest fields in finance, and this program is designed to help students succeed in these areas. Career options include, but are not limited to: financial data analyst, credit analyst, quantitative credit risk analyst, financial analyst, financial engineer, research analyst, risk and insurance analyst, market risk analyst, quantitative risk analyst, chief risk officer, risk management officer, risk management analyst, data scientist, data engineer, data modeler, and BI Analyst (business intelligence analyst).
The Master of Science in Financial Technology and Analytics requires a minimum of 36 semester credit hours to complete. Students in the program must have a bachelor’s degree from an accredited institution in the United States, or its equivalent. An undergraduate business degree is not required; all undergraduate majors are welcome. New cohorts begin in the fall semester only.